Tag: Artificial Intelligence
In the dynamic realm of modern business, the profound impact of artificial intelligence (AI) continues to unfold, reshaping industries and redefining conventional practices. As we step into 2024, the transformative force of AI is set to intensify, bringing forth new trends that promise to revolutionize the way organizations operate.
This blog offers a comprehensive exploration of the top AI trends anticipated for 2024, shedding light on their potential implications across diverse sectors. Join us as we look into how AI is shaping the future of modern businesses in 2024.
How AI Is Redefining Competitiveness in 2024
As we approach 2024, AI’s impact on the business landscape transcends mere trendiness; it stands as a pivotal force shaping competition. Let us begin by considering the unparalleled competitive advantages that AI implementation brings.
1. Streamlined Operational Efficiency:
Integrating AI into business operations offers a significant boost in efficiency by automating routine tasks, data analysis, and decision-making processes. This approach enables businesses to streamline workflows, minimize manual errors, and strategically allocate resources. In 2024, an upswing in businesses leveraging AI for operational optimization is anticipated, providing a crucial edge in efficiency over competitors.
2. Exceptional Data Insights:
AI possesses the remarkable ability to sift through massive datasets, extracting valuable insights impractical for human analysis. This year, businesses will increasingly capitalize on AI’s data analytics capabilities to make informed decisions. Whether understanding customer preferences, market trends, or internal performance metrics, harnessing actionable insights from data gives AI-driven businesses a considerable advantage in staying ahead.
3. Tailored Customer Experiences:
Meeting soaring customer expectations involves providing personalized experiences, a key differentiator in the market. AI enables businesses to create tailored interactions at scale. In 2024, an upsurge in AI-powered customer engagement is expected, where virtual assistants, chatbots, and recommendation systems enhance customer satisfaction and foster brand loyalty. Effectively implementing AI for personalized customer experiences will make businesses stand out in a crowded marketplace.
4. Proactive Risk Management:
Effectively managing risks can be a game-changer in the business realm. AI’s predictive capabilities empower businesses to identify potential risks and challenges before escalation. Whether forecasting market trends, predicting equipment failures, or assessing cybersecurity threats, AI-equipped businesses can take proactive measures to mitigate risks, providing a crucial competitive advantage in an unpredictable business environment.
5. Agility in Decision-Making:
The speed of decision-making often determines business success. AI facilitates real-time data processing and analysis, enabling faster and more informed decisions. In 2024, the agility offered by AI-driven decision-making will be a critical advantage in adapting to dynamic market conditions, outpacing slower competitors.
6. Enhanced Productivity through Automation:
AI-powered automation is set to reach new heights in 2024, allowing businesses to streamline processes across various departments. From routine administrative tasks to complex data analysis, AI-driven automation enables employees to focus on high-value, creative, and strategic aspects of their roles. This heightened productivity not only accelerates business operations but also fosters a more innovative and dynamic work environment.
7. Cost Savings and Resource Optimization:
Leveraging AI technologies enables businesses to optimize resource allocation, minimize waste, and reduce operational costs. Whether through predictive maintenance in manufacturing, smart energy management systems, or intelligent supply chain optimization, AI-driven solutions enable businesses to operate leaner and more sustainably, contributing to long-term financial resilience.
Watch now: How AI is revolutionizing customer experience.
Futureproofing Business with AI’s Game-Changing Trends for 2024
In 2024, businesses are on a quest to futureproof their operations through the strategic adoption of AI. These game-changing trends showcase how organizations can not only stay relevant but also thrive amidst evolving technological landscapes.
1. Hyper-Personalization Takes the Spotlight
In 2024, businesses are set to enhance customer experiences through hyper-personalization. AI algorithms, powered by vast datasets, empower companies to customize products, services, and interactions on an individual level. From tailored recommendations to personalized marketing messages, the era of hyper-personalization is here, promising heightened customer satisfaction and loyalty.
2. The Surge of AI-Enhanced Cybersecurity
The significance of robust cybersecurity cannot be overstated. AI emerges as a sentinel, fortifying organizations against the ever-evolving landscape of cyber threats. Machine learning algorithms, backed by real-time data analysis, enable swift detection and proactive responses to potential breaches. In 2024, the integration of AI in cybersecurity becomes not just a necessity but a strategic imperative for maintaining the trust of clients and stakeholders.
3. AI-Driven Operational Resilience
The business landscape is inherently unpredictable, with disruptions ranging from supply chain challenges to market fluctuations. In response, organizations turn to AI as a beacon of operational resilience. Predictive analytics, a key facet of AI, allows businesses to anticipate and navigate these uncertainties effectively. From forecasting supply chain disruptions to identifying market trends, AI becomes the compass guiding businesses through dynamic environments, ensuring not just survival but sustained growth.
4. AI-Powered Automation Reaches New Heights
Automation, infused with the power of AI, will undergo a metamorphosis in 2024. It transcends routine tasks, extending its reach to intricate processes across various departments. Businesses leverage AI-powered automation to enhance efficiency, reduce manual intervention, and accelerate operations. As mundane tasks are delegated to machines, human capital is liberated to focus on creativity, strategy, and high-impact decision-making, fostering a workplace culture that thrives on innovation.
5. Ethical AI Governance in the Limelight
In 2024, businesses actively embrace ethical AI governance, emphasizing transparency, fairness, and accountability in the development and deployment of AI algorithms. This commitment not only aligns organizations with societal expectations but also builds trust among consumers who are increasingly discerning about the ethical practices of the brands they engage with.
6. AI-Infused Talent Management
The traditional paradigms of talent recruitment and management undergo a revolutionary shift in 2024, driven by the integration of AI. Advanced analytics aid in identifying ideal candidates by considering qualifications and delving into a nuanced understanding of their potential and cultural fit. Beyond recruitment, AI-driven insights enhance employee engagement, providing tailored development opportunities and fostering a workplace culture that recognizes and amplifies individual strengths.
7. AI-Generated Content Gains Momentum
Content creation, a cornerstone of modern marketing and communication, evolves with the integration of AI-generated content. Natural language processing and generative models come together to produce compelling, contextually relevant content. In 2024, businesses harness AI as both a tool and a creative partner in crafting marketing materials, reports, and social media posts. This streamlines content creation processes, ensuring consistency and relevance that resonate effectively with the target audience.
Read more: Finding Success in Aviation Business with AI.
Fingent – Your Gateway to AI Excellence in 2024 and Beyond
In this era of unprecedented technological evolution, Fingent stands at the forefront, offering businesses a gateway to AI excellence. As your ally in navigating the complexities of 2024, Fingent is committed to transforming these trends into tangible advantages for your organization. Whether you seek to enhance cybersecurity, implement ethical AI practices, or revolutionize your talent management, Fingent’s tailored AI solutions are poised to be the driving force behind your business’s ascent.
Contact us today and embark on a transformative journey where AI propels your business to new heights of success.
“Aviation is the branch of engineering that is least forgiving of mistakes.” – Freeman Dyson, British-American theoretical physicist and mathematician.
The truth in that statement is sobering indeed. The precision and skill needed to perfect a safe flight plan involves an army of brilliant minds. The process flows onto the nitty gritty of running the day-to-day tasks of the industry as well. That is where AI comes in.
“Artificial intelligence is not a substitute for human intelligence; it is a tool to amplify human creativity and ingenuity.” – Fei-Fei Li, co-director of the Stanford Institute for Human-Centered Artificial Intelligence.
Let us look into how AI is transforming the Aviation industry.
An Introduction to Aviation and Artificial Intelligence
The aviation industry includes nearly every facet of air travel as well as the operations that support it. By extension, this covers the entire airline sector, as well as the production of aircraft, research firms, military aviation, and much more. Aviation management includes a wide range of tasks like managing airport safety and security, air traffic control, airport operations, aircraft maintenance, and airline operations. The ideal pricing strategy for an airline will always vary depending on its unique business objectives, route network, and market competition. The use of strategic communications to market an aviation or aerospace company to decision-makers is known as aviation and aerospace marketing.
Where AI meets Aviation:
Artificial intelligence has revolutionized modern aviation, especially in connection with the modern airport. Recent reports by Radix state that “the artificial intelligence (AI) market, currently valued at $328.34 billion, is anticipated to expand by at least 120% annually”.
AI is already improving the efficiency and convenience of air travel by automating mundane procedures in airports. In the future, artificial intelligence (AI) in aviation will primarily focus on digital transformation projects to enhance customer experience, speed up procedures, lower costs, and explore many more benefits of such cutting-edge technologies. According to research, approximately 38% of airports plan to use AI for tailored marketing in the near future.
Read Case Study: How Fingent’s Customized Integrated Solution helped a Private Jet company streamline their operations.
Specific Areas AI Can Indent An Aviation Company
Artificial intelligence (AI) has already enabled autopilot technology to go from basic instruments for maintaining aircraft altitude to completely autonomous flight control systems that can operate gate-to-gate without requiring human intervention.
Furthermore, it can also be used by airlines and other operators for ground operations, flight planning, and fleet optimization. AI tools can help engineers designing airplanes create and certify goods more quickly and easily before they are even put on the market. Pricing strategy and marketing modules are two of the most critical areas that AI is impacting.
Pricing Strategies
Airlines are transforming passenger engagement and revenue optimization by utilizing Artificial Intelligence (AI) to harness the possibilities of personalization and dynamic pricing. We’ll explore three of these key artificial intelligence-driven tactics.
1. Dynamic Pricing For Tickets: Conventional pricing models frequently find it difficult to adjust in real time to changes in the market. However, this is where AI excels.
- Customer Division: AI divides travelers into categories according to their willingness to pay and purchase patterns. Different consumer segments might have their pricing methods customized to ensure that the price is appealing to them.
- Competitor Observation: Artificial Intelligence (AI) solutions enable airlines to promptly respond to shifts in the competitive landscape by monitoring the pricing and strategies of their rivals.
- Supplementary Services: AI maximizes the cost of both tickets and add-ons like checked baggage, in-flight Wi-Fi, and seat preference. Airlines can optimize their ancillary revenue by determining pricing that appeals to travelers.
2. Personalization Pricing Modules: Airlines are now able to customize services, offers, and experiences to each passenger’s specific interests and behaviors thanks to machine learning algorithms. This degree of personalization is available from the reservation procedure all the way through the in-flight encounter, leading to a flawless travel experience.
- Customer Segmentation and Profiling: To generate thorough client profiles, AI algorithms can examine a wide range of data sources, such as previous booking histories, travel trends, and even social media activity.
- Customized Deals and Services: Airlines can create customized offers once they have unique profiles in place. These customized deals increase passenger satisfaction and foster client loyalty.
3. Real-Time Demand Analysis: Real-time analysis and demand fostering generally fall under dynamic pricing, but they are also similar to personalized models.
- Analyzing Data in Real Time: AI systems monitor the market, demand patterns, and pricing strategies of rivals in real time to modify ticket prices. This guarantees airlines’ continued competitiveness and revenue maximization.
- Demand Forecasting: Artificial Intelligence is able to forecast changes in demand for particular flights and schedules. Then, airlines can modify their pricing to maximize income during busy periods or fill unfilled seats.
Marketing Model
AI is capable of analyzing enormous volumes of data to spot possible safety hazards, forecast equipment malfunctions, and support preventative maintenance, all of which increase overall aviation safety. As per reports, AI in aviation was estimated to be worth USD 686.4 million in 2022, and between 2023 and 2032, it is expected to grow at a compound annual growth rate of more than 20%. In order to manage air traffic and optimize flight routes, airlines and aviation corporations look for AI software solutions. Two key ways that AI influences marketing struggles in the aviation industry are:
1. Targeted advertising: Many neighboring industries utilize AI to optimize their advertising procedures and make them more attractive to the right audience. With passenger services like chatbots and tailored suggestions, AI can bring in more customers and revenue to airlines while simultaneously boosting customer satisfaction levels.
2. Monitor emails: The majority of requests for private flights are made via email, which means that operators must perform the tiresome chore of reviewing emails once an hour. With the help of AI, team members can react to travel requests more quickly and arrange flight schedules more easily by sifting through emails and selecting those that best fit what the business has to offer.
The Future Of AI In Aviation
By now, it must be evident how useful AI is to the Aviation industry. Furthermore, according to research, it is predicted to grow at a 37% annual rate of growth between 2023 and 2030, reaching US$ 12.1 billion by the end of 2031. Some emerging trends and advancements to look out for are:
Autonomous Aircraft: By decreasing human error, boosting productivity, and possibly even enhancing environmental sustainability, the development of autonomous aircraft might completely transform air travel.
- Data security: As AI systems are used more frequently, there is a greater need than ever for strong cyber security defenses against online threats.
- Workers Adaptation: As AI technologies are integrated, the aviation sector will need to upskill its workers and create new positions that reflect the shifting job market.
- UAVs (unmanned aerial vehicles): These drones with AI algorithms installed can effectively scan large areas, giving security operations useful data.
- Predictive maintenance: AI systems that can precisely forecast the need for maintenance by evaluating data from sensors integrated into aircraft components by reducing downtime and enhancing overall safety; this proactive strategy assists airlines and maintenance teams in identifying any problems before they become more serious.
- Customer assistance: Customers may soon be able to utilize AI-powered devices like Amazon Alexa, which can be connected to an airline’s mobile app. After that, Alexa may be used to respond to queries, deal with typical issues, track flight statuses using their numbers, manage check-in requests, and find out if amenities like Wi-Fi are available while flying.
- Passenger identification Kiosks: It is anticipated that AI will be used soon to provide self-service flight check-in. Consumers will utilize this technology in facial recognition kiosks. It is anticipated to enhance customer satisfaction and enable quicker check-ins and client flow at the airport.
How Can Fingent Help Aviation Companies Explore Capabilities with AI Better?
Here at Fingent, we believe using emerging technology can help industries reimagine processes and find possibilities in impossible challenges. We enable organizations to look beyond digitalization and create innovations that change lives by providing them with easy-to-use and quickly implemented software solutions.
Fingent combines the full force of its expertise in many facets of technology to bring you a solution that will fit your needs. This includes the power of augmented, virtual, and mixed realty, data analytics, network, and infrastructure security, and more.
We use an agile process to create dependable, high-quality, reasonably priced solutions that have an impact. In addition to our well-known post-installation care, we provide excellent customer service and knowledgeable support from the beginning to the end of the implementation. Give us a call, and lets create a custom solution that will help your aviation business reach new heights.
Are you sick and tired of performing the same monotonous task every day? Well, if your answer is yes, then Generative Artificial Intelligence can benefit you.
Technology is evolving at a rapid rate, with new inventions and software being built on an almost daily basis. A significant increase in computer power, data storage, and algorithms has made it possible to create more proficient AI systems. With these advances in technology, AI is now increasingly available and useful in a variety of business sectors. Generative AI is one of the branches of AI that enables companies to develop, test, and improve solutions to challenging issues.
Let’s see how this amazing technology can boost your business processes.
What is Generative Artificial Intelligence?
As the name suggests, this is a form of Artificial Intelligence that has the ability to generate, create, or fabricate new content, including text, imagery, audio, and synthetic data. Artificial intelligence (AI) models produce new data by learning the patterns and structures of their training data.
The ease with which modern user interfaces can produce professional-level text, drawings, and films in just a few seconds has recently generated a lot of hype around Generative AI. Generative AI uses sophisticated neural networks to acquire information from huge datasets and generate outputs on its own. This is in contrast to typical AI systems that rely on set guidelines or explicit data patterns.
Types And Uses Of Generative AI
There are various Generative AI model types, and each has a distinct approach to creating content. The most prominent versions of generative AI models include:
1. Generative Adversarial Networks (GANs): This model includes two sub-models – the generator and the discriminator. The generator (trained to generate new examples) aims to create extremely realistic content to deceive the discriminator, which is thus trained to improve its ability to distinguish between real and fabricated data.
2. Autoregressive Models: This model is essentially known for its ability to create coherent and contextual content with appropriate text. A very common example of this model is GPT (Generative Pre-trained Transformers).
3. Recurrent Neural Networks (RNNs): RNNs are a form of neural network that analyzes sequential data, including time-series data or natural language sentences. By foreseeing the following elements in the sequence given prior elements, they can be employed for generative tasks.
Generative AI has found its use in almost all fields of life and business. It is essentially used in generating content, data augmentation, fabrication of synthetic data, graphic design, and code writing.
How Is Generative AI Impacting Modern Business?
47% of businesses utilizing AI, say sales and customer service, are where Generative AI is most frequently used.
Generative AI streamlines workflows by automating repeated processes that were previously time- and resource-consuming. Businesses can reach unmatched levels of productivity by utilizing Generative AI’s sophisticated language models, freeing up personnel to concentrate on jobs with a favorable return on investment that promotes growth and innovation.
AI helps businesses identify bottlenecks and inefficiencies to streamline operations. Additionally, the quality control procedures are automated by AI systems, which ensures product uniformity and lowers manufacturing flaws.
Compared to other apps, Chat GPT attracted 100 million users more quickly.
Benefits Of Using Generative AI
There are innumerable benefits to installing a Generative AI model into your business plan. Some of the major benefits experienced are:
- Amplification of creativity: Generative AI can foster more originality and innovation.
- Saving time and money: By automating and improving everyday mundane tasks and processes, generative AI can reduce both time and costs.
- Hyper-personalization: Using generative AI, personalization and customization of data can be boosted.
- Enhanced productivity and efficiency: When the need for repetition of mind-numbing and tedious tasks is removed, Generative AI can increase output quality and operational effectiveness.
- Data synthesis: Generative AI is capable of yielding original data quickly and effectively, supporting operations including data organization, processing, augmentation, and synthesis.
- Realistic simulations: Generative AI is capable of decoding complex algorithms, converting satellite photos to maps, producing images for medical applications in real time, and producing spontaneous marketing data.
- Adaptive learning: Generative AI’s data-driven insights and forecasting model can help in making sound decisions.
- Superior knowledge organization and discovery: Customer assistance, e-commerce interactions, and several other fields where effective communication is essential can be revolutionized by Generative AI.
How To Utilize The Best Of Generative AI For Your Business?
If you want the best of generative AI, the first thing you should consider is your business requirements. Analyze what your weaknesses are, and then correlate them with the features this technology can provide. Once you are clear on where and how you want to use your artificially intelligent partner, you can explore the many possibilities it presents. Here are some ways in which you can use Generative AI:
1. Data Analytics
Data analytics solutions powered by generative AI make data analysis more intelligent, quick, scalable, and safe. For more safe and compliant data analysis and QA testing processes, you can utilize generative AI to produce synthetic data, depending on the model type and size you choose.
Examples: Dermio, Narrative BI, and Power BI Co-pilot
2. Customer service and user experience
There are now several Generative AI tools available to guide your current customer care representatives and, in some cases, replace them with chatbots, speech generation technology, and AI-powered search engines that are created with client inquiries and natural language requirements in mind.
Examples: Gridspace, IBM Watson Assistant, and Forethought SupportGPT.
3. Assistant Coding and Product Design
For the production of digital products, Generative AI can be used to support coding and quality control tests. Bug fixes, test code generation, and software documentation are all possible with models like ChatGPT.
Examples: ChatGPT, Google Bard, Code Snippets, and Tabnine
4. Document summarization
A lengthy contract, legal document, conversation transcript, or other long-form content type can be quickly and easily distilled down to its most crucial details using this method. Some generative AI systems are used for independent content summaries, while others are integrated into tools used for project management and routine business processes.
Examples: Cohere Summarize, PatentPal, and AI21 Studio.
5. Cyber Security Management
Cyber security applications of generative AI include improved threat detection and hunting, contextualized security environment suggestions, and attack simulations. While many of these new generative AI security technologies are either new features or add-on items for current cyber security systems, others are independent businesses.
Examples: Google Cloud Security AI Workbench, Microsoft Security Co-pilot, and Airgap Networks ThreatGPT.
Watch now: How Artificial Intelligence impacts customer experience!
How Can Fingent Help?
Fingent has been a pioneer in the Artificial Intelligence game and has built many custom AI-powered apps for clients worldwide. Our experts work on AI platforms such as Natural Language Processing, Computer Vision, Speech Recognition, and more. Having acquired expertise in robotic and business process automation, experts at Fingent can help you achieve cost and time efficiencies and yield a greater margin of profit for your business.
Fingent top custom software development company, is equipped to help businesses of all sizes, including start-ups, as well as well-established organizations. We will be with you through all your processes, from suggesting products to providing basic customer service to running software tests. Allow us to empower your business with the power of Generative AI. Give us a call today.
Many of us interact with Artificial Intelligence (AI) on a daily basis without even realizing its presence. From email spam filters to face IDs used for unlocking our phones and from smart home devices to Amazon feed recommendations, AI has become a household name today.
The examples of AI we encounter every day are seemingly infinite! Now, imagine the myriad ways AI facilitates business development!
“87% of enterprises believe that AI and ML will help them achieve business goals centered around growing revenue, boosting operational efficiency, and improving customer experiences.”
With its capability to automate processes, enhance productivity, forecast trends, and personalize experiences, AI has become an invaluable asset for businesses of all sizes.
Key Areas Where AI Can Contribute to Business Development
1. Business Growth: Data-Driven Decision Making
Machine learning (ML) algorithms running behind AI analytics engines can process and analyze vast amounts of data quickly and accurately. By deploying AI-based analytics tools, you can extract contextualized and valuable insights from your data to make well-informed and timely business decisions.
Benefits of AI-driven business data analysis:
- Understand customer behavior and preferences, market trends, and sales performance
- Optimize business operations and resource allocation, identify new opportunities, refine marketing strategies, and improve your competitive positioning.
- Make proactive business development decisions powered by reliable data.
2. Customer Gratification: Personalized Experiences
By analyzing customer purchase history, behavior patterns, preferences, and interests, you can tailor your offerings to individual needs. In-depth personalization enhances customer satisfaction, boosts loyalty, and drives customer acquisition.
- Intelligent customer service solutions such as AI-powered chatbots and virtual assistants enhance customer experience by providing prompt and personalized support.
- Insights derived through AI can be used to personalize website experiences, optimize conversion rates, and improve customer engagement.
- AI helps deliver personalized customer recommendations and individualized experiences across multiple channels.
3. Marketing Automation: Tailored Content & Targeted Campaigns
AI-powered marketing automation helps streamline your entire marketing efforts. Thanks to data and algorithms, AI-based marketing automation makes sending personalized content to your customers easier.
Here are a few ways marketers can leverage AI to automate their processes:
- Personalization: Analyze customer data, predict consumer behavior, identify patterns and trends, and send personalized messages to your customers.
- Email Automation: Analyze the performance of your emails in real time and use the data to improve your next set of emails.
- Lead Scoring: AI can be used to analyze your data to determine which leads will likely become customers. This saves your time and money on lead scoring and improves the quality of your leads.
- Lead Nurturing: AI can also automate your lead nurturing process by effectively guiding leads through the sales funnel until they are ready to purchase. This will boost your conversion rates.
- Channel Optimization: With Al algorithms, your marketing team can easily identify which channels are the most effective in reaching your target audience. This allows you to allocate sufficient time and funds to channels with the best ROI.
- Customer Service & Communication: Using AI to respond to customers instantly will improve your customer’s experience and satisfaction while saving time and resources. For instance, AI-powered chatbots can answer frequently asked questions, recommend products, and process orders faster than a human service agent.
4. Sales Performance: Driving Conversion & ROI
AI-powered sales tools can help businesses identify the most promising leads, prioritize sales activities, and personalize sales pitches. By analyzing customer behavior and predicting their needs using AI, companies can provide more effective sales support and create compelling sales pitches.
Here’s how AI can transform your sales process:
- Data Enrichment & Analysis: Data enrichment refers to the process of deriving data from third-party sources and pulling it into an organization’s database, typically a CRM. Leveraging AI will allow you to bring all your customer context in one place. For instance, with a single source of customer information (in your CRM), you can easily understand lead sentiments and topics of interest. That way, you can score and prioritize your leads and personalize your selling strategies.
- Conversation Intelligence: AI-powered conversation intelligence tools allow you to analyze sales calls and pull key insights, recognize the context within a conversation, and uncover the why behind sales performance.
- Sales Enablement: Sales enablement, the process of equipping your salespeople with the right tools and resources to close more deals, can be automated and optimized with AI. For instance, AI helps build and manage dynamic content libraries that can surface relevant information when necessary and even automatically pull the data from these libraries into sales pitches and proposals.
- Pipeline Management & Forecasting: AI helps reduce the probability of inaccuracies in your sales team. With an AI-driven forecasting solution, you can analyze existing data and gain insights into deals and overall pipeline, build forecasts to draw valuable insights and make improved decisions.
- Sales Engagement: Sales engagement involves all the buyer-seller interactions within your sales process, right from initial outreach to customer onboarding. There are two ways AI can help you streamline this process. Firstly, AI helps analyze your data and insights to understand customer needs and pain points. Secondly, AI aids in personalizing and automating your customer interactions.
5. Process Automation: Automate Repetitive, Time-Consuming Tasks
AI helps automate your most time-consuming routine operations and free up your workforce for more critical tasks. Transferring large volumes of repetitive work from humans to automated systems increases your productivity, accuracy, and responsiveness while minimizing the error rate.
Here are a few examples of AI in business process automation:
- Inventory Management: AI-integrated inventory management software helps with accurate stock level maintenance, effective order management, improved demand forecasting, and better supplier management.
- Data Entry & Update: AI-based data entry involves using software systems that leverage ML, NLP, OCR, computer vision, or other AI techniques for extracting, validating, transforming, or entering data from various sources, such as PDFs, documents, images, audio, or web pages.
- Price Optimization: AI can help you set optimal prices for your products and services by analyzing your customer demographics and spending patterns, historical data, market trends, supply and demand changes, and competitors’ prices.
- Reporting: AI helps automate your report generation process by extracting data from different business systems and relevant documents. It also helps perform necessary data manipulations, assemble reports in designated formats, and send them to relevant stakeholders based on the content.
- Fraud Detection & Prevention: AI-based automation allows your financial professionals to reduce errors in transactions and prevent miscalculations and delayed payments.
6. Innovation: New Business Models Expansion
Artificial Intelligence is basically focused on business expansion and helps unlock new business models that were not possible before.
Here are some of the ways organizations today are making that shift and reaping the benefits of AI in a more practical way.
- Unlock New Opportunities: Predictive analytics solutions leverage AI to identify new revenue streams and opportunities, such as upselling and cross-selling products and services.
- Develop New Offerings: AI-based customer insights are used to develop new products and services that meet the needs of their customers, resulting in increased revenue and growth.
- Efficiency & Productivity Gains: AI-based analytics helps warehouses, shipping and transportation companies, fulfillment centers, and similar businesses with fuel optimization, predictive maintenance, and route optimization.
- Coding & Application Modernization: Companies are using AI for application modernization and enterprise IT operations by employing AI to automate coding, deploying, and scaling. IBM’s Project CodeNet, for example, is a large dataset developed for teaching AI to code.
- Convergence with Other Technologies: Converging AI with other technologies, such as IoT, helps create a new paradigm of business models. For example, real-time data collected by IoT sensors attached to equipment or vehicles can be used to rigorously train AI models, which will ultimately help businesses make fruitful decisions.
Download Our Free Case Study Report Now: How Combining AI with the client’s Litigation Strategy helped reduce the Average Case Settlement Time to 1-2 days at a settlement cost of $15000.
AI Use Cases in Business Development
Here are some significant AI use cases impacting major industries:
1. Healthcare
Healthcare organizations are using AI to improve the efficiency of all kinds of processes, from back-office tasks to patient care.
- AI computer-assisted documentation: This allows clinicians to efficiently maintain medical records.
- AI virtual nurse assistants: Automate patient question-answering, clinical appointment scheduling, and report-sharing with physicians or surgeons.
- Detect & Minimize Dosage Errors: Monitor and flag errors in how a patient self-administers medications in order to enhance patient health outcomes and reduce healthcare costs and hospitalizations.
2. HR & Talent Management
AI influences almost all of HR operations and service delivery, including recruiting, learning and development, and talent management.
- Recruiting: AI-based profile sourcing from recruitment websites, automated screening of candidates using facial recognition, and AI-based interviews.
- Employee Onboarding: AI-powered bots can accelerate employee onboarding processes by providing quicker access to knowledge, personalized results, real-time assistance, Q&A support, and enhanced collaboration.
- Payroll Processing: Automation of repetitive and error-prone payroll processing tasks such as recording overtime, keeping track of timesheets and leaves, and calculating incentives or commissions.
3. Banking & Financial Services
Custom AI banking solutions help reduce banking costs, mitigate financial risks and frauds, and improve the overall banking experience for customers.
- Reduce Manual Work: Automating routine processes such as KYC update, data extraction, validation, etc., will speed up processing times, reduce error rates, and improve regulatory compliance.
- Transaction Monitoring & Fraud Prevention: In digital banking, AI can be used to monitor user transactions, spot suspicious activities in real-time, and take quick measures to address the risks.
- Financial Planning: AI banking chatbots can interact with customers to assist them with financial planning tasks such as setting financial objectives, budgeting, identifying new investment opportunities, etc.
4. Education
AI in education focuses on developing new solutions for teaching and learning catering to different situations. The ultimate goal is to facilitate learners with flexible, personalized, and engaging learning experiences.
- Personalized Learning: AI helps educators understand the needs of every learner/ student so they can quickly come up with tailor-made learning plans for each student.
- Course Creation: Several online learning platforms use AI to generate smart content and courses that include immersive visualizations, simulations, bite-sized lessons, and other interactive forms of content.
- AI-Based Tutorials: AI-driven tutorials provide additional support to students in understanding their study materials. With these tutorials, students can learn complex concepts by breaking them down into simple learning modules.
5. Retail
The application of AI in the retail industry translates to better experiences, accurate forecasting, and automated inventory management.
- Demand Forecasting: AI can track and analyze customer data to improve demand forecasting, make pricing decisions, and optimize product placement.
- Inventory Management: AI-based inventory management software can automatically track out-of-stock items, missing inventory, pricing errors, expiring stocks, surplus inventory, etc.
- Returns Management: Intelligent bots can reduce the volume of manual work involved in managing and processing returns by collecting necessary information from customers, guiding them through the return process, sending notifications, and updating inventory databases.
How Fingent Helps Organizations Leverage AI for Business Development
“94% of global business leaders believe AI is critical to success over the next five years.”
Artificial intelligence has a unique and powerful role to play in addressing many of the challenges presented to us today. The question is no longer about adopting AI for basic process automation. It is now about unleashing the potential AI holds to drive new opportunities for our businesses, employees, and society at large.
Fingent offers custom AI software development services to accelerate your business’s growth and profitability. Our AI software development experience spans multiple industry segments, including education, corporate learning systems, litigation, human resources and people management, insurance, retail, real estate, and more.
If you are planning to build custom AI software for your business, want to know more about the scope of AI in business development, or want to upgrade from legacy software to a modern technology platform, feel free to connect with our team.
Today’s businesses aren’t content with revolving orbits; they’re reaching out for galaxies. Are you one of them? AI can get you there. By equipping your enterprise software with a powerhouse of resources, AI can help your business reach heights never explored before. This article will show you how.
Reaching Heights With AI
Imagine for a moment you’re standing at the launching pad with a rocket-fueled and ready. In this case, the rocket is your enterprise software – a powerhouse of technology, promise, and potential. But just having a rocket won’t send you hurtling toward the stars. There’s a cosmic force waiting to be harnessed – Artificial Intelligence (AI).
Think of AI as the navigation system that charts a course beyond the atmosphere of conventional operations, taking your enterprise to breathtaking heights. While software handles routine tasks, AI extends your reach, guiding your decisions with insights. Just as astronauts trust their instruments in uncharted space, your business relies on AI to navigate complexities, foresee trends, and make informed choices.
AI isn’t merely a tool; it’s a decoder that reveals patterns, predicts possibilities, and equips your organization to make strategic leaps forward. Just as a rocket maneuvers through space, AI-enhanced software propels your enterprise through a dynamic market, automating complexities and boosting growth.
Read more: How AI-based Code Generation Tools are Revolutionizing Industries.
Elevating Business Excellence Beyond Software Implementation
Building a thriving business is not merely assembling a puzzle; you need to build a dynamic masterpiece that can adapt, grow, and stay ahead of the game. That’s why thinking beyond simply implementing software is like adding a dash of genius to your strategy.
Your customers deserve a seamless and delightful experience. AI will help you go beyond implementation. You’re not just giving them a product; you’re crafting an adventure they’ll want to return to with updates and features that improve their journey.
When implementing AI, you are not just wielding a single power but exploring new abilities. By watching for the latest tech trends, you’re adding new tools to your utility belt, ensuring you can face any challenge head-on. And turn your challenges into triumphs.
So, let’s blast off into a future by considering specific realms where thinking beyond software is the norm, and AI is the rocket fuel of progress.
AI Empowers Enterprise Efficiency: Elevating Operations Across Diverse Realms
Incorporating AI intelligence into enterprise software can transform various aspects of business operations, boosting functional efficiency across different realms. Just as a rocket reaches new heights with precision and power, AI-infused enterprise software takes your efficiency to unparalleled realms across diverse domains.
Let’s break down how AI can enhance efficiency in the following scenarios:
1. Flawless Dispatch and Scheduling: The AI Thrust
Visualize AI as your mission control center, ensuring dispatches and schedules operate with pinpoint accuracy. AI can optimize dispatching and scheduling by analyzing real-time data, such as traffic conditions, weather, and job priorities.
Like a mission planner, AI optimizes routes and timing, minimizing downtimes and maximizing resource utility. Your operations glide seamlessly, guaranteeing on-time arrivals and delighted customers. It can automatically assign tasks to the right resources, minimizing travel time and maximizing productivity. This results in faster response times, reduced operational costs, and improved customer satisfaction.
2. HR Onboarding, Rocketed by AI Prowess
AI can be compared to a co-pilot for HR, navigating through onboarding with finesse. With AI’s assistance, paperwork is streamlined, training needs are anticipated, and personalized experiences await your new crew members. Your team steps into their roles with confidence, accelerating productivity.
AI-powered tools can streamline onboarding by automating administrative tasks, providing personalized training plans, and offering interactive modules for new hires. This accelerates the time it takes for new employees to become productive and minimizes manual intervention by HR staff.
3. Claims Management: AI’s Turbo Boost
Consider AI your claims turbocharger, rocketing through paperwork at lightning speed. Just as a turbocharger enhances engine performance, AI can quickly review and process claims documents, extracting relevant information and identifying patterns to detect fraudulent claims. This speeds up the claims management process, reduces errors, and improves claims processing accuracy.
4. Supplier Audits: AI’s Navigator
Think of AI as your supplier audit navigator, equipped with advanced radar for data scrutiny. With AI’s precision, audits become comprehensive and insightful. AI can analyze supplier data, performance metrics, and historical trends to prioritize supplier audits based on risk and importance. It can provide actionable insights and recommendations to auditors, enabling them to focus on critical areas and make informed decisions efficiently.
5. Instant Work Instructions: AI’s Inflight Guidance
Like a co-pilot giving live directions, AI ensures your team has immediate, accurate guidance. AI-powered systems can provide real-time, context-aware work instructions to employees on the shop floor. Since it can deliver step-by-step guidance and troubleshooting assistance, efficiency soars as your workforce executes tasks precisely.
6. Revolutionizing Asset Trading: AI-Driven Trajectory
With AI’s guidance, asset trading becomes strategic and informed. Your decisions are empowered by AI’s data-driven analytics, allowing you to navigate market fluctuations with confidence. AI can analyze market trends, historical data, and customer preferences to provide valuable insights for asset trading decisions. This helps businesses make informed choices, optimize pricing strategies, and seize trading opportunities, improving profitability.
7. AI’s Galactic Odyssey: Efficiency Beyond Boundaries
Today’s enterprises are embarking on an AI-powered odyssey, rewriting efficiency. By infusing AI intelligence into your enterprise software, you’re not merely embracing technology but launching your efficiency into the stratosphere of possibility. AI becomes the booster rocket that propels your operations into a new era.
As the architect of this transformative mission, AI ensures that each operational phase is executed with precision, guiding your enterprise to excel in once unimaginable ways.
Read more: Boosting customer experience with AI.
Fingent Can Help You Unleash AI-driven Brilliance in Your Software
In a world where business success hinges on innovation, Fingent emerges as the guiding light, igniting a transformative spark in your enterprise. Imagine if your software could perform tasks, think, learn, and evolve. That’s the power of infusing artificial intelligence, and Fingent, as an esteemed enterprise software development company, is your key to unlocking this potential.
At Fingent, we don’t just develop software; we cultivate digital minds that enhance your business’s cognitive capabilities. We’re not just developers; we’re architects of intelligence. Our experts at Fingent wield the brush of advanced algorithms, crafting solutions that empower your software to analyze data, make informed decisions, and continuously enhance its own performance.
Reach out to us and allow us to transform your software.
Artificial Intelligence (AI) evolved from a concept of science fiction to a transformative force that permeates our daily lives. From autonomous vehicles to voice assistants, AI has already made significant inroads in various sectors.
However, one area that stands to gain immensely from AI’s potential is the supply chain. As the backbone of global trade, the supply chain encompasses complex networks and intricate logistics. It is an ecosystem where efficiency, accuracy, and agility can make or break success.
With its vast array of applications, AI has the potential to streamline operations, enhance decision-making, and unlock untapped opportunities. In this journey through AI’s rising capabilities, we will delve into real-world use cases that demonstrate how AI is revolutionizing the supply chain. Furthermore, we will also explore the specific benefits that AI brings to the supply chain domain.
Role Of AI Optimizing the Supply Chain
Every business owner dreams of a supply chain that is finely tuned, seamlessly efficient, and adaptive to every twist and turn of the market. A business where warehouses run like clockwork, shipments arrive precisely on time, and customer demands are anticipated with uncanny accuracy is not a far-fetched dream; it’s a reality being shaped by the game-changing role of Artificial Intelligence (AI) in optimizing supply chain operations.
At the heart of AI’s transformative influence are three key components that work in harmony to revolutionize the supply chain landscape. Let’s uncover their captivating role in reshaping the future of supply chains.
- Machine Learning and Predictive Analytics: Machine learning and predictive analytics in the supply chain are like having a trusted, experienced mentor by your side, whispering valuable insights and guidance into your ear. Machine learning algorithms analyze vast amounts of historical data to uncover patterns, trends, and potential pitfalls.
- Natural Language Processing and Chatbots: Natural Language Processing (NLP) allows you to simply ask a question about your supply chain and receive instant, accurate answers. With a chatbot available 24/7, customers can get instant responses, while supply chain teams can focus on strategic decision-making.
- Robotics and Automation: Robots, equipped with advanced sensors and AI algorithms, can perform repetitive tasks with unmatched precision and speed. From inventory management to order fulfillment, these tireless machines streamline operations, reduce errors, and enhance efficiency.
How AI Solves Supply Chain Challenges
The world of supply chain management is like a complex maze with numerous challenges at every turn. Thankfully, AI emerges as the trusty guide, equipped with the tools to solve some of the most daunting hurdles. Here are some for your reference:
1. Demand Forecasting and Inventory Optimization: This AI-powered assistant acts as your supply chain ‘savant,’ it understands your historical consumption patterns, market trends, and even factors like seasonality or promotional events.
2. Supplier Selection and Relationship Management: Choosing the right suppliers and maintaining strong relationships is like finding the perfect dance partner. AI steps in as a knowledgeable matchmaker. By analyzing vast amounts of supplier data, performance metrics, AI algorithms can assess and rank potential suppliers based on criteria such as reliability, quality, and cost.
3. Warehouse and Inventory Management: AI acts as a vigilant warehouse manager, optimizing layout, guiding picking and packing processes, and even predicting optimal storage locations. With AI-powered systems, warehouses can maximize space utilization, minimize errors, and accelerate order fulfillment, resulting in streamlined operations and satisfied customers.
4. Transportation and Logistics Optimization: AI takes on the role of coordinator who has a bird’s-eye view of the entire transportation network, utilizing algorithms to analyze real-time data on factors like traffic, weather conditions, and delivery constraints. By optimizing routes, load planning, and vehicle assignments, AI enables efficient transportation management.
5. Quality Control and Defect Detection: Think of a diligent quality inspector who never misses a flaw in a product. AI becomes this meticulous inspector, utilizing computer vision and machine learning algorithms to analyze visual data and detect defects with remarkable accuracy.
6. Risk Management and Supply Chain Resilience: AI plays this vital role just like a risk management expert. It analyzes a wide range of data sources to identify potential risks and vulnerabilities, ensuring supply chain resilience in the face of uncertainties.
7. Customer Service and Satisfaction Enhancement: AI takes on the role of a customer service representative who can swiftly address customer inquiries, provide accurate information, and resolve issues with ease. AI-powered customer service tools offer instant responses, personalized recommendations, and seamless assistance, enhancing customer satisfaction and loyalty.
Watch: Artificial Intelligence – how to navigate AI if you are not a tech company.
Remarkable Real-world examples of AI in the Supply Chain
AI transforms supply chain management like never before. Don’t take our word for it. See it in action as implemented by big players in the industry:
Use Case 1: Precision Prediction by Amazon
Problem: Traditional demand forecasting and inventory management methods often struggle to predict customer demands and optimize inventory levels in real-time accurately.
Solution: To address this challenge, Amazon has harnessed the power of AI algorithms to revolutionize demand forecasting and inventory management. By analyzing vast amounts of customer data, historical sales patterns, and even external factors like weather forecasts, AI algorithms can accurately predict demand with remarkable precision.
This AI-driven approach allows Amazon to optimize inventory levels, ensuring that popular products are readily available while minimizing excess inventory and reducing the risk of stockouts. By aligning supply with demand, Amazon is able to enhance customer satisfaction and maintain a competitive edge in the dynamic e-commerce landscape.
Use Case 2: Substitution Solution by Walmart
Problem: In online grocery shopping, customers often encounter situations where certain items they ordered are out of stock. This can lead to dissatisfaction and inconvenience, as customers may have to manually search for suitable substitutes or go without the desired product.
Solution: To address this issue, Walmart has implemented an AI-driven product substitution system. Using advanced algorithms, the system analyzes product attributes, customer preferences, and available inventory data to suggest suitable substitutions for out-of-stock items.
When an ordered item is unavailable, the AI system automatically identifies the best possible substitute based on factors such as brand, size, price, and customer feedback. It takes into account the customer’s past purchase history and preferences to make personalized recommendations. The system provides clear and transparent information to customers, ensuring they are aware of the substitution and have the option to accept or reject it.
Use Case 3: Real-Time Routing by UPS
Problem: Traditional route planning methods often struggle to optimize delivery routes efficiently, resulting in inefficient use of time, resources, and fuel.
Solution: UPS leverages AI algorithms for route optimization, enabling them to analyze real-time data on factors such as traffic patterns, delivery constraints, and even weather conditions. By considering these variables, UPS can generate optimal delivery routes that minimize distances, reduce fuel consumption, and optimize delivery time.
Through the implementation of AI in its logistics operations, UPS achieves significant cost savings, improves delivery efficiency, and reduces its carbon footprint. This AI-driven approach allows UPS to stay ahead of the competition and provide exceptional service to its customers.
Use Case 4: Valuable Vending by Coco-Cola
Problem: Traditional vending machines often lack the ability to gather real-time data on customer behavior and gauge the effectiveness of different brands and product offerings.
Solution: To overcome these limitations, Coca-Cola has implemented AI-enabled next-gen vending machines. These machines are equipped with advanced sensors, cameras, and AI algorithms that gather real-time data on customer behavior, purchasing patterns, and brand preferences.
With this newfound understanding, Coca-Cola can optimize product placements, tailor offerings to specific locations, and develop targeted marketing campaigns. Furthermore, the AI-enabled vending machines also allow Coca-Cola to remotely monitor inventory levels, predict demand patterns, and optimize restocking schedules. This ensures that the vending machines are always well-stocked with popular products, reducing the likelihood of stockouts and maximizing sales opportunities.
Use Case 5: Wonder Warehouses by Alibaba
Problem: Traditional warehouse management practices often face challenges related to inefficient storage utilization, suboptimal picking processes, and delays in order fulfillment.
Solution: Alibaba has embraced AI technology to develop smart warehouses that leverage automation, robotics, and AI algorithms. These AI-enabled warehouses optimize storage utilization, streamline picking and packing processes, and enable efficient order fulfillment.
Through the integration of AI, Alibaba achieves faster and more accurate inventory management, enhances warehouse operations, and improves overall efficiency in its supply chain. This innovative use of AI allows Alibaba to meet the demands of the e-commerce market and deliver exceptional service to its customers.
Checkout out our Infographic: Successful Logistics and Warehouse Management Practices.
Solid Supply Chain Solution with AI by Fingent
Advancements in AI technologies continue to shape the supply chain landscape, with machine learning algorithms becoming more sophisticated, natural language processing capabilities evolving, and robotics and automation becoming increasingly intelligent and adaptable. These advancements enable businesses to make data-driven decisions, automate repetitive tasks, and optimize operations like never before.
At Fingent, we understand the immense potential of AI in supply chain management and are committed to helping businesses harness its power. Our expertise lies in developing innovative AI solutions tailored to specific industry needs, integrating AI with emerging technologies, and driving digital transformation in the supply chain.
Whether it’s building intelligent forecasting models, implementing AI-powered automation, or leveraging AI-driven analytics, Fingent is dedicated to empowering organizations to thrive in the AI-driven supply chain landscape.
Businesses that embrace its potential will gain a significant competitive advantage. By leveraging AI technologies, integrating with emerging technologies, and partnering with experienced custom software solution providers like Fingent, organizations can unlock new frontiers of efficiency, innovation, and success in the dynamic world of supply chain management.
Reach out to us to get the best supply solution for your business.
Today we live in a world where machines possess an extraordinary ability to learn, reason, and make decisions, much like the human mind. This remarkable realm of technology known as Artificial Intelligence is not merely a product of science fiction or futuristic imagination. It has become an awe-inspiring reality that is transforming the landscape of countless industries.
But that’s just the tip of the AI iceberg.
In mobile development, AI can transform your customer’s device into a personal shopping assistant, a language guru, or a creative photographer all in the blink of an eye.
The integration of AI in mobile app development doesn’t stop there.
It unlocks a realm of possibilities for your customers, from personalized virtual assistants that organize their life, to fitness apps that act as their personal trainers, to healthcare apps that monitor their well-being.
But how do we understand the concept of AI in mobile apps?
Unraveling Artificial Intelligence in Mobile Apps
Simply put, AI is like the brain behind the scenes, making your apps smarter and more interactive.
One of AI’s superpowers is Machine Learning (ML). It’s like a super adaptable brain that learns from data and experiences. Machine learning algorithms analyze massive amounts of information to get better at tasks. They can recognize patterns, make predictions, and even understand your preferences.
Another clever component is Natural Language Processing (NLP). It’s like an AI language translator that allows you can talk to your app, ask questions, and it magically understands and responds. NLP allows your AI sidekick to grasp the meaning behind your words, making conversations with your app feel more human-like.
How does it help?
Read more: Understanding NLP: Will It Reign Supreme In Near Future?
From Mundane to Marvelous – Benefits of AI In Mobile Apps
Weaving the powers of AI into your mobile apps can enhance user experience. How? Like a brilliant and intuitive companion, AI-powered mobile apps can provide personalized recommendations. AI algorithms analyze user behavior, learn their tastes, and curate a world of suggestions.
Plus, it learns and grows with them. The more your customers use your apps, the smarter those apps become, tailoring their suggestions to your customer’s ever-changing whims and fancies and predicting their move, and effortlessly serving up what they need.
Read more: https://www.fingent.com/blog/is-ai-powered-mobile-app-what-you-need-for-your-business-now/
Key Applications of AI In Mobile Apps
AI brings a layer of intelligence to your apps that takes them to the next level. Here are some key applications that this has made possible:
1. Voice Assistants and Natural Language Processing
40% of mobile users use voice search at least once a day. – Comptia.
Natural Language Processing (NLP) enables the integration of voice assistants like Siri, Google Assistant, and Alexa into mobile apps. No matter how they phrase it, NLP enables your app to decipher the meaning and context of their spoken words.
It is capable of unraveling the intricacies of slang, deciphering accents, and even understanding complex sentences with multiple layers of meaning. It’s like having a language expert at your beck and call. But it doesn’t end there. NLP allows voice assistants to learn from every interaction, becoming more intelligent over time.
2. Personalized Recommendations
AI algorithms can analyze user data to provide personalized recommendations in mobile apps by utilizing machine learning techniques:
- Data Collection: Mobile apps collect user data through various means, such as user registrations, app usage tracking, explicit ratings, and implicit signals like clicks, views, and interactions.
- User Profiling: Such data is used to create user profiles that capture individual preferences, interests, and behaviors.
- Pattern Recognition: AI algorithms can identify similarities based on factors like item attributes, past behavior, and user demographics.
- Recommendation Generation: Based on the identified patterns, the algorithms generate personalized recommendations. For example, in a music app, the algorithm might suggest songs or artists similar to the user’s previous listening habits or recommend popular tracks among users with similar tastes.
The benefits of personalized recommendations for user engagement and satisfaction are significant:
- Enhanced User Experience: Users are more likely to discover new content they enjoy and spend more time using the app.
- Improved Discovery: Personalized recommendations help users explore new music genres, discover new movies or shows, or find products that suit their tastes, leading to greater satisfaction.
- Time and Effort Saving: With personalized recommendations, users can find relevant content more quickly and easily.
- Increased User Retention: When users receive preferred recommendations, they are more likely to remain engaged with the app.
- Business Benefits: Personalized recommendations result in improved conversion rates and increased customer loyalty.
3. Image and Video Recognition Tasks
AI plays a crucial role in mobile apps across industries, including e-commerce, social media, entertainment, gaming, and more. For example:
- Facial Recognition: This technology is widely used in mobile apps for various purposes, such as authentication, photo tagging, and personalization.
- Object Detection: With AI algorithms, mobile apps leverage object detection for a range of purposes, such as visual search and safety features.
- Augmented Reality (AR) Experiences: AI algorithms are employed in mobile apps to enable applications like virtual try-on for shopping, gaming, and navigation.
Read Case Study: How Fingent helped build a unique mixed reality application for a leading university that enables users to identify people using facial recognition!
4. Intelligent Chatbots
The integration of AI-powered chatbots in mobile apps revolutionizes customer support and interaction by enabling efficient and automated communication with users. Using AI algorithms, chatbots recognize the intent behind user queries and quickly search and retrieve relevant information to address user queries effectively.
Success Stories
Mobile apps have been able to enhance user satisfaction, drive revenue growth, and achieve operational efficiency, resulting in their success in the mobile app market. Here are some examples:
1. Instagram
Instagram, one of the “big three” social media platforms, utilizes AI algorithms to provide personalized content recommendations in the Explore tab. This greatly improves user engagement by helping users discover relevant posts and accounts. AI is also used for content moderation, and identifying and filtering out inappropriate or spammy content, thus creating a safer user environment.
Impact: AI integration in Instagram has contributed to increased user engagement by facilitating content discovery and improving user safety by detecting and removing harmful content. Today it is 4th most used social media platform and 5th most visited website.
2. Uber
Uber, a ride-hailing platform, employs AI algorithms to optimize its dynamic pricing system. Machine learning models analyze supply and demand patterns, traffic conditions, and historical data to determine surge pricing, ensuring efficient allocation of drivers and meeting high-demand periods.
Impact: AI integration in Uber enables efficient pricing strategies, ensuring the availability of drivers during peak demand and generating increased revenue for the company.
In 2022, Uber experienced substantial growth with a revenue of $31.8 billion, marking an 82% increase from the previous year. Furthermore, the number of completed trips also saw an increase, with Uber drivers recording 7.6 billion trips, exceeding the previous peak of 6.9 billion trips in 2019.
3. Amazon
Amazon, a leading e-commerce platform, extensively uses AI across its mobile app for personalized product recommendations, dynamic pricing, inventory management, and fraud detection.
Impact: AI integration in the Amazon app has led to increased user engagement by providing relevant product suggestions, improved customer satisfaction through personalized experiences, optimized pricing strategies, and enhanced operational efficiency.
In Amazon, it was observed that there is a 42% likelihood of a customer proceeding to a prospective product purchase. On the other hand, Walmart and Etsy have recorded figures of 16% and 13% respectively.
Amazon’s Alexa has taken over the world’s smart speaker industry, by securing an impressive 26.4% market share.
Emerging Trends in AI For Mobile Apps
Emerging trends in AI for mobile apps are shaping the future of mobile app development. Here are two key trends:
1. Edge Computing: Edge computing involves processing data locally on the device or in nearby edge servers, reducing the reliance on cloud computing. This trend enables AI-powered mobile apps to perform complex tasks and analysis directly on the device, leading to faster response times, enhanced privacy, and reduced dependency on internet connectivity.
Implications: The increasing adoption of edge computing enables apps to respond quickly to user inputs, process sensor data in real-time, and provide immediate feedback, leading to faster and more seamless experiences.
2. Federated Learning: Federated learning allows AI models to be trained collaboratively on decentralized data from multiple devices without transferring sensitive user data to the cloud. Each device performs local model training, and only model updates are exchanged, ensuring privacy and data security.
Implications: Future advancements will likely include greater transparency, explainability, and fairness in AI algorithms to ensure user trust and mitigate potential biases or discriminatory outcomes.
Personalize, Engage, and Future Proof with AI
In this era of technological revolution, artificial intelligence stands as a beacon of innovation and possibility. AI integration in mobile apps offers compelling benefits such as personalized experiences, improved user engagement, increased efficiency, advanced functionalities, data-driven decision-making, competitive advantage, and future-proofing.
These reasons make AI integration a strategic choice for app developers looking to deliver exceptional user experiences and drive the success of their mobile app projects.
By partnering with Fingent, you can leverage our expertise in AI and mobile app development to unlock the transformative potential of AI in your app projects. From custom travel apps to apps using AI enabled chatbots and virtual assistants, Fingent has created unique solutions for clients across the globe. Our commitment to delivering tailored solutions, adherence to data privacy, and end-to-end services make us an ideal choice for AI mobile app development.
Contact us, the leading custom software development company, and let’s explore the possibilities together.
“A simple rule: always give people more than they expect.” – Nelson Boswell
The cycle of business starts and ends with customers. Keeping them satisfied and happy is the number one rule of any business that dreams of being successful. Customer needs and expectations never cease, so businesses should always be prepared to meet and exceed their needs. Artificial Intelligence has been a substantial help in this area since the late 19th century, and it consistently finds new innovative ways to amplify its presence in modern businesses.
Meeting Customer Needs and Exceeding Expectations
Recent research reported that a good number of executives have already planned to invest more in rising technology to gain a competitive advantage. Due to the Covid-19 pandemic, almost all businesses were forced to move to an online platform to survive, further underscoring the need to adopt AI technology.
It is extremely imperative to recognize and address the needs, desires, and emotions of people which change from moment to moment. Businesses have to provide their customers and clients with care beyond purchases and respond to the intricacies in their lives. In a world that moves forward so fast, it’s best not to fall behind.
Read more: Realizing Self- Service in Modern Customer Experiences
What Is Artificial Intelligence and How Does It Impact Customer Experience?
The textbook definition of Artificial Intelligence is – a semblance of human-like intelligence processed by machines, especially computer systems. AI is used by developers to:
- efficiently perform mundane tasks that humans otherwise do.
- connect with customers.
- recognize patterns.
- solve problems.
AI Customer experience is when artificial intelligence tools are used to learn about customers and improve their business experience. The AI technologies that are famously emerging include machine learning, natural language processing, automation, chatbots, virtual assistants, and even enhanced customer experience platforms.
There are three major ways in which AI impacts Customer Experience –
1. Better Understanding Of Customer
Artificial Intelligence combined with machine learning enhances the gathering and analyzing of social and factual data of customers, which then facilitates businesses to gain an accurate understanding of their customers. AI is known for continuously learning and improving from the data it surveys. This enables it to predict customer behavior perfectly.
2. Real-time Decision Making
Making decisions in real-time is the ability of AI to collect fresh data from current interaction with a customer and make a decision with near-zero delay. It is a very effective marketing strategy and often leads to predictive analysis, which is the process of analyzing statistics, data mining, and modeling to make accurate predictions.
3. Hyper-Personalization
Artificial Intelligence, along with all its advanced technologies, proffers content that is specifically relevant to the customer. This eradicates the need to search for services the customer requires manually and adds a layer of comfort to the business and its customization techniques.
Top Ways Businesses Use AI To Tweak Customer Experience
Following are the top 8 utilities that Artificial Intelligence provides to boost customer experience –
1. Personalization
Businesses can easily gain a clear picture of their customer preferences and requirements by using AI and ML technologies which acquire and analyzes social, factual, and behavioral data. AI is built to predict client behavior by regularly surveying and improving the data it collects. This facilitates companies to analyze customer demographics and personal preferences. This, in turn, highlights the relevant products and resources during the browsing process.
2. Chatbots
A chatbot is a conversational AI using machine learning and natural language processing. It is automated and programmed to pretend to be human and carry out programming tasks based on specific triggers. Its unique ability is to conveniently and efficiently generate conversations between two people.
The most commonly found type of chatbot is a “question-answer bot” —this form of chatbot refrains from using advanced artificial intelligence but instead accesses a smaller knowledge base and utilizes pattern recognition.
Artificial Intelligence powered Chatbots make a business’s presence accomplished by allowing customers to find what they are looking for while simultaneously delivering a seamless experience.
Did You Know: 35% of customers want to see chatbots being used more often to improve communication and offer a better experience overall.
The best examples of Chatbots are – Apple’s Siri, Amazon’s Alexa, and Google Assistant.
Using simple rules and past interactions, bots provide insightful replies to any query, making their responses accurate, short, and creative.
3. Predictive Analysis
Predictive analytics, by definition, is to use data collected to predict a business’s future. It utilizes statistical algorithms blended with internal and external data to foresee future trends, ultimately enabling businesses to optimize inventory, enhance delivery times, boost sales, and reduce operational costs. A more accurate and punctual prediction occurs when Artificial Intelligence is added to the mix. Predictive analytics can be used by advanced analytics tools and machine learning models across any industry or business function.
4. Voice Recognition
The voice recognition model functions purely with the aid of AI to
- analyze the user’s voice and language,
- learn the words spoken,
- and then bring forth outputs with transcription accuracy as text data on a screen or model content.
With the help of this technology, devices can interact and respond to human questions in uncannily natural language.
With the ability to understand and converse with human language, Voice AI has opened up great opportunities for businesses to serve their customers better. It efficiently speeds up processes, increases productivity, and scales operations.
Approximately 55% of virtual assistant users prefer speech recognition apps be they proffer a complete hands-off operation of devices.
Examples of businesses that integrated AI for voice recognition and have successfully replaced touch-screen devices are – Amazon Echo, Siri, Google Assistant, Google Home, Amazon Alexa, and a few others.
5. Sentiment Analysis
A sentiment analysis system collects specific customer feedback and uses it to improve company products and services. When AI technologies are fused with this system, it can identify objects or situations that customers feel any negative emotions towards as expressed in text. AI understands the undertone of a statement rather than simply noting a negative or positive connotation.
Sentiment Analysis is majorly utilized by marketers to better understand their consumers’ sentiments, beliefs, and motives perfectly to make advertising to specific groups effective. It has a wide array of benefits ranging from patient insights and online reputation management to competitor analysis and product development.
Almost all social media platforms use Sentiment Analytics powered by AI. This way brands and companies can keep track of the content being shared and censor or filter content that could evoke negative emotions and cause problems.
6. Customer Journey Mapping
A customer journey map as the name suggests, is essentially the visual representation of the customer’s journey from brand discovery to purchase and post-purchase. It enables businesses to retrace a customer’s footsteps and see where their services might need any improvements or upgrades.
All through this journey, AI and Machine Learning play a vital role in ensuring a headache-free shopping experience. There are three essential stages to customer shopping: the Pre-Purchase, purchase, and post-purchase. With the assistance of AI and ML, customers thread these maps and help brands analyze and prioritize activities that impact customers, boosting internal collaboration and coordination.
The benefits of creating a customer journey map are that it helps:
- streamline the customer experience,
- optimize customer service costs,
- accelerate proactive sales solutions to customer problems, and lastly, boost customer retention rate.
Examples of businesses using customer journey mapping are – Home Depot, JPMorgan Chase, Starbucks, and Nike.
7. Fraud Detection
Fraud detection is another surprising area that AI has a distinguished hold over. AI can work with internal security to help organizations improve and protect corporate activities. Businesses can use AI to examine large quantities of exchanges and unravel misrepresentation patterns.
In the case of online fraud detection and prevention, machine learning consists of a collection of AI algorithms that are specially trained with the company’s data to suggest risk rules. The business owner can then enforce the rules to block or allow certain user actions, such as suspicious logins, identity theft, or sketchy transactions.
When fraud detection is handed over to AI and Machine Learning, businesses reap great benefits like – faster and more effective detection, reduced manual review time, faster predictions with bigger databases, and cost-effective solutions.
8. Personal Data Protection
AI and Data Protection are like two sides of the same coin; both are very important, and one cannot progress without the other. We all see and know that AI technology is advancing rapidly; it raises important questions about the use of personal data and the protection and storage of said data in AI systems.
AI is frequently used to minimize the risk of privacy breaches by encrypting personal data and detecting potential cybercrime incidents. It is, therefore, pivotal for businesses to maintain a balance between technological advancements and artificial intelligence with respect for data protection rules and guidelines.
The main benefit of Data Protection Artificial Intelligence is the elimination of human errors and its keen sense for spotting new trends and patterns.
Amazon, Apple, Facebook, IBM, Microsoft, and many other grandiose organizations have implemented this system, and many more are predicted to follow.
Read more: How AI and ML are reshaping customer experience.
AI In Action – Use Cases
AI has been implemented in virtually every facet of our lives and in every industry imaginable. Here are 3 Use Cases that will give you a gist of how they can be applied successfully.
1. Chatbots Creating Engaging Learning Experiences
Learning experiences become unique and personalized when the right assistance is provided at each stage of learning. That’s where leading educational institutions are now deploying Automated Intelligence-driven ecosystems to facilitate students to interact with AI-enabled Teaching Assistants (AiTA). The system, when tightly integrated with other Teaching Assistant Bots, enables improved interaction, easy instructor-led training, and enhnaces student-instructor relationship.
2. Simplifying Claims Management for Legal Firms
A typical compensation claims processing takes up to three years for case settlement costing an average of $85000. It’s often challenging for legal firms to balance time, money, and the cases in hand. That’s why they are now implementing AI and machine learning to improve performance efficiency. Utilizing AI and machine learning to settle claims can help legal firms reduce costs up to 57%.
3. Netflix Gets You!
Netflix is the largest streaming platform, with more than 200 million customers globally. It gained a majority of its popularity due to its personalization feature. This streaming service uses AI to create a personalized home screen interface for individual subscribers and accounts. When viewers create a new account, they are directed to pick a few of their favorite TV series and movies. The AI at the crux of Netflix analyzes the data fed to it and provides recommendations similar to the favorites picked by the user. It continues to customize the suggestions displayed based on what the user watches.
4. Rolls-Royce Rolls Out Smart, Responsible Manufacturing
To exemplify the impact of AI on Predictive Analytics, we can look at Rolls-Royce, one of the world’s largest manufacturers of aircraft engines. It deployed predictive analytics to help drastically reduce the amount of carbon produced in its engine’s product while simultaneously optimizing maintenance to assist clients and keep their planes flying longer.
5. Ask Julie!
“Ask Julie” is Amtrak’s virtual assistant. Amtrak, the national passenger railroad company of the United States has implemented this chatbot to the best advantage. Ask Julie has successfully helped provide Amtrak provide a seamless customer experience to “over 375,000 customers on their website each day and over 30 million passengers on over 300 trains each year.” The result – an 8X return on investment, more effective customer services. and reduced email costs.
Finding The Right AI Partner – A Few Tips
Digitalizing a business can be very daunting, especially when you want to integrate Artificial Intelligence into its core. Finding a partner who understands you and can communicate well with you is quite hard to find, but you must not give up hope! Keep looking because it is better to spend a little more at the start and have a quality setup rather than spend less and have a wobbly foundation that could jeopardize your whole AI implementation. Here are a few tips to keep in mind while looking for a capable AI partner –
1. Priorities
When looking for your potential AI partners, choose someone who can help the business and its employees prioritize and manage workloads.
2. Comprehend The Difference Between Machine Learning And Artificial Intelligence
Although the two may sound like they perform the same functions, do not be fooled. They each have their own region of expertise so look for someone who acknowledges that.
3. Invest In The Right Tools
In the current economy, businesses can not afford to splurge money on luxuries. Pick a partner who understands your company’s budget and can plan a perfect setup for you.
How Fingent Can Help Seamlessly Leverage AI For Customer Experience
Artificial Intelligence is a wide ocean of opportunities, if you have the right swimming gear, you can glide on its surface. Making the right decisions and trusting the right people with your projects should not be taken lightly. Fingent is committed to providing impactful software solutions to meet business goals seamlessly. Our certified experts focus on client-centered transparency and offer complete services with a wide range of Artificial Intelligence capabilities. Our team can boost your business to be more efficient and robust through intelligent technology. We have nearly two decades of experience and completely understand our client’s needs and requirements. Give us a call and let us know how we can help you.
The automobile industry is one of the largest sectors in the world. In just the U.S., the car & automobile manufacturing industry boasts a market size of $104.1 billion.
However, even an ecosystem as large as the automotive industry is not immune to the unprecedented challenges over the last few years. The coronavirus pandemic and subsequent semiconductor chip shortage forced manufacturers to cut 11.3 million vehicles from production in 2021.
In addition to supply chain challenges, automotive manufacturers have contended with labor shortages, shifts in consumer demand, and pressures to create a sustainable work environment.
But, like any resilient industry, the automotive sector has leaned into these new challenges and has begun to address them proactively. Let’s take a closer look at what these hurdles entail and, more importantly, how automotive businesses overcome them via technology’s strategic implementation.
Challenges and Trends Reshaping the Automotive Industry
While many challenges and trends prompt the automotive industry to evolve, three stand out above the rest. These roadblocks include:
1. Ongoing Worker Shortages
Like many other business verticals, the automotive industry has been plagued by worker shortages. Manufacturers need help to fill vacancies at every level of the organization, including line-level staff, decision-makers, and engineers.
This worker shortage has made it nearly impossible to rebuild supply and catch up to runaway consumer demand for new vehicles.
2. Supply Chain Disruptions
Various legs of the automotive supply chain have faced disruptions over the last few years. Of these, the shortfall of semiconductor chips had the most significant impact on production and vehicle inventory.
Unfortunately, many experts predict the shortage will continue well into 2023, if not beyond. It is too late for automakers to prepare for this extended chip shortage. All they can do now is adjust manufacturing strategies to align with consumer demand and cut back production on less popular vehicles.
3. The EV Revolution
Despite these other concerns, the electric vehicle (EV) market continues to grow. By Q4 of 2022, EV sales represented 5.6% of all auto transactions. This percentage doubled from the year prior when EV sales made up just 2.7% of the total auto market.
This statistic demonstrates that consumers are becoming more environmentally conscious and are interested in decreasing their impact on natural resources. Government incentives and tax credits are further contributing to the surging popularity of electric vehicles.
But what does all this have to do with the future of work in the automotive industry? It means that automakers will need to implement new and more sophisticated production processes and hire better talent if they hope to push the envelope in the EV space.
The New Industry Focus: Creating a Sustainable Work Environment
One of the biggest drivers of change in the automotive industry is a global push toward creating a sustainable work environment.
Historically, the automotive sector has been anything but sustainable. Traditional assembly line-based production strategies focus on efficiency at the expense of almost anything else. These tactics result in the consumption of excessive amounts of power and often produce an unnecessary amount of resource waste.
However, the next-generation automotive industry will likely be unrecognizable to the pioneers of the last century. Modern manufacturers are reimagining every aspect of the supply chain, from material sourcing to assembly and distribution. Visionaries and thought leaders are also encouraging a shift away from old-school engineering and development processes in favor of AI-powered practices prioritizing efficiency.
Even the retail sales aspect of the automotive industry is changing. Many dealers are shifting toward online transactions, and some are transitioning increasingly to a made-to-order sales model. The end result is a more agile and less wasteful automotive supply chain.
Technologies that Can Fuel the Auto Sector’s Metamorphosis
The future of work in the automotive industry will focus on sustainability, resilience, and agility while prioritizing efficiency. To realize their aspirations of a sustainable work environment,
industry executives, managers, and workers must embrace leading-edge technologies, including:
1. Predictive Analytics Software
Predictive analytics software will influence numerous aspects of the automotive industry. Organizations interested in forging sustainable work environments can use these analytics tools to identify production waste and increase operational efficiency. Additionally, they can leverage these solutions to create more energy-efficient vehicles that produce fewer greenhouse gasses.
Predictive analytics technologies will also assist with demand forecasting — organizational leaders can use these insights to prioritize in-demand vehicles as they contend with ongoing chip shortages.
2. Automation Tools
Automation tools will prove invaluable amid labor and talent shortages. Businesses in the automotive industry can use automation software to streamline redundant back-office processes and improve communication across the entire supply chain.
Manufacturers can also use automation tools to ramp up production while conserving energy and reducing waste.
3. Machine Learning and AI Solutions
Machine learning and artificial intelligence technologies can transform every link in the automotive industry supply chain. Businesses can use these complementary technologies to optimize raw material sourcing, vehicle distribution, and production.
Because they allow for a more data-driven approach to manufacturing and sales, these technologies can reduce waste while simultaneously creating more agile and resilient supply chains. In turn, this will help keep the costs of vehicles manageable, thereby increasing accessibility to energy-efficient automobiles and EVs.
Read more: AI and ML for Faster and Accurate Project Cost Estimation
Accelerate Your Transformation with Fingent
When your business is in the automotive industry, creating a sustainable work environment should be one of your top priorities. Doing so will help you attract and retain top talent, meet consumer demand for more efficient vehicles, and align your business model with the latest regulations and compliance frameworks.
To achieve these goals, you will need access to purpose-built technologies designed for your business’s unique needs. That’s where Fingent top custom software development company, can help.
Our development experts can create dynamic software for your business. From customer-facing applications to internal solutions that empower your staff to be more productive, we build the software you need to thrive.
To learn more about our wide range of technology development services, connect with Fingent today.
How the insurance industry delivers service has evolved significantly in the last decade.
Regardless of what form of insurance sales or policy management your organization is engaged in, you can attest that face-to-face interactions are no longer routine and are, in fact, an oddity.
As the insurance industry’s new normal, more and more interactions between customers, industry experts, other organizations, and adjustments claims occur digitally. Though phone-based communications will continue to be a part of the customer service process for the foreseeable future, customers, care providers, other insurers, and virtually anyone else with whom an insurance company interacts have come to expect a largely digitized experience.
For any organization to thrive in the insurance industry of tomorrow, it must take steps to evolve its processes today. That means creating a cohesive modernization strategy and investing in leading-edge technology solutions.
Read more: Answering the Burning Questions of Business Leaders on Digital Transformation!
Top Challenges Facing the Insurance Industry
To understand what a modernized strategy looks like in the insurance industry, it’s vital to examine some of the top challenges businesses will face in the coming years.
1. Staffing Shortages
Historically, the insurance sector has contended with turnover rates somewhere in the range of 8-9%, according to Insurance Business America, but that span climbed to 12-15% by September 2022.
That additional turnover significantly impacts business continuity and diminishes the customer experience. It can also negatively influence insurers’ ability to replace members of leadership that are retiring or stepping away from the industry.
2. Skyrocketing Costs
Inflation and numerous other factors have contributed to rising costs of everything from healthcare to vehicles higher than ever before. Naturally, some of these cost increases are passed onto insurers and their customers, so insurance companies must find ways to absorb some of these expenses while mitigating rate increases for their clients.
Insurers should also explore ways to reduce their operating costs to keep coverage prices lower. Otherwise, businesses may find it challenging to retain customer accounts, particularly in sectors like automotive insurance, where consumers can freely shop around and change policies in six-month intervals.
3. Antiquated Legacy Systems
Some legacy systems hinder the ability of many businesses to embrace digital transformation. These aging platforms can make it challenging to comply with relevant regulatory requirements and increase an organization’s overall operating costs.
The longer that insurance companies cling to antiquated systems, the harder it will be for them to streamline traditionally tedious practices, such as claim management. Therefore, insurance companies must replace these inefficient, disjointed platforms with modern, unified alternatives.
The Role of Digital Transformation in Solving These Challenges
Digital transformation can bring modern technologies to any business process to improve its operation. Fast-growing digital transformation technologies include machine learning, artificial intelligence (like ChatGPT), customer relationship management platforms, and intelligent document processing software.
Digital transformation holds the key to solving the insurance industry’s most significant problems, and it appears that many in the industry realize this, as recent projections estimate that insurance technology spending will increase by 25% between 2022 and 2026 in the US and UK.
A cohesive digital transformation strategy will lay out a roadmap for replacing aging technologies with modern alternatives, and once these technologies have been replaced, the cost savings are almost immediate.
In one example of how a digital transformation strategy led to practical innovation, Fingent joined forces with the California law firm of Sapra & Navarra, LLP to develop Ambit, an AI and ML program that simplifies and enhances the management of workers’ compensation claims. Claims may include hundreds of pages consisting of a variety of letters, affidavits, forms, and other documents from claimants, doctors, lawyers, investigators, employers, and witnesses, among others. Utilizing both artificial intelligence and machine learning, the Ambit system streamlines the claims management process, reducing claim costs, and helps break the old practices of:
- Taking too long to assess claims
- Treating similar claims inconsistently
- Not equipping claim adjusters with modern tools
Instead, Ambit improves the efficiency of all parties — insurance carriers, self-insured companies, lawyers, and claim adjusters — while reducing costs for insurers by 57%.
The Ambit solution was designed to:
- Easily ingest the many documents in the claims process
- Quickly identify missing, processed & corrupted pages
- Review structured and unstructured documents automatically
- Identify areas of concern
- Suggest potential legal defenses
- Automate calculations and reminders for important legal deadlines
- Generate case summaries, with action plans
These automation capabilities not only make life easier for claims managers but enable organizational leaders to offset productivity issues created by ongoing labor shortages by reducing onboarding time for new hires. These capabilities result in more uniform handling of the claims while speeding their resolution and lowering their overall costs.
In general, automation technologies, such as those implemented during a digital transformation initiative, will also decrease operating costs, enabling insurance companies to increase their profitability and offer their customers more competitive premiums.
Read more: How AI Drives Digital Transformation In The Insurance Industry
The Essential Components of Digital Transformation
The technology trend in insurance is clearly moving from the strictly paper-based methods of the past to the digital. Beyond static websites to mobile apps. Beyond email to text and chat. Beyond processes driven by people to more and more intelligent automation that speeds up and uniformly handles all kinds of processes from marketing, and operations, to customer service.
Every organization’s digital transformation roadmap should be as unique as the business itself, but every digital transformation strategy must include a few core elements:
- Clear objectives
- An integrated plan
- A leadership-driven approach
- Investments in the right technology
When creating your organization’s digital transformation strategy, you should start by defining your “why.” In other words, you must identify the reasons you are undertaking this initiative in the first place.
From there, work with a digital transformation partner who can help you create an integrated plan that includes everyone from executive members to line-level employees.
Digital transformation efforts — even small ones — require the active support of top management. Change is the hardest thing to achieve in the organization and without the sponsorship of the corporate leaders, the effort is unlikely to succeed.
Finally, you will need to replace outdated, inefficient technology with modern, robust solutions. When appropriate,
partner with a custom software development firm that can provide you with a purpose-built solution you need for your business. They are equipped with the personnel and experience to generate a solution in the minimum timeframe and without the need to increase in-house headcounts.
If your organization has been exploring ways to improve the customer service experience, increase productivity, improve profitability, and streamline its operations, it is more than ready to embrace digital transformation.
Successfully facilitating digital transformation requires a cohesive strategy, some cutting-edge technologies, a commitment to doing things better, and the right development approach.
Read more: Digital Twin Improving Predictability and Risk Management in Insurance!
How Fingent Can Accelerate Your Process
Naturally, the cornerstone of any digital transformation initiative is technology choices. These may be an off-the-shelf system for standard processes, the integration of existing systems or, your transformation may demand a custom solution that can accommodate your business needs unlike systems available to anyone else.
At Fingent, we specialize in creating resilient custom software solutions that are able to change and adapt according to your requirements. We work with insurance industry clients to help them streamline mission-critical business processes, and – as in all our projects – we accomplish this by providing dynamic, unique software that incorporates the most appropriate technology, such as the latest in machine learning and artificial intelligence technologies.
Connect with Fingent today to accelerate your digital transformation with the help of an experienced software development partner.