Tag: AI Integration
From the mundane to breathtaking, AI is disrupting virtually every business process in all sectors. People are ceasing to associate Artificial Intelligence with science-fiction dystopias as Artificial Intelligence (AI) is taking more commonplace in our daily lives. While such acceptance in mainstream society is a new phenomenon, it is not a new concept in business. Today, AI has become imperative to maintain a competitive edge.
This guide will help business owners who are serious about maintaining a competitive edge in their business sector by adopting AI.
Rising Need for Adopting AI In Business
Did you know that 52% of companies accelerated their AI adoption plans after the pandemic? Why?
Artificial Intelligence in business is seen as a supporting tool. It is adept at processing and analyzing a trove of data much faster and more efficiently than a human brain can. Since AI can synthesize courses of action and present them to the human user, businesses can use AI to help investigate the probable consequences of each action. That way, businesses can streamline the decision-making process. This is what makes AI valuable throughout many industries.
Artificial Intelligence is a form of software that can make decisions independently. It can act even in situations not foreseen by programmers. AI has a wider latitude of decision-making capabilities than traditional software – whether it is simply helping visitors or performing a task as complex as monitoring a wind turbine to predict its maintenance.
Read more: Conversational AI: Reimagining Customer Experiences
How To Identify If Your Business Needs AI?
AI software and tools can make business processes much simpler and more effective. Besides, implementing AI in business ensures cybersecurity defense, powers customer service, and more. But how do you know when you must adopt AI in business? Here are a few scenarios:
Scenario 1: Do you need to enhance your customer experience?
Are you struggling to provide your consumers with quick, easy, and personalized solutions? AI-powered digital assistants can help your business resolve customer queries by imitating human conversation. Chatbots are among the most promising trends in customer engagement and customer experience. Perhaps most business owners realize how imperative this AI technology is to their business. Perhaps that is why the chatbot market is set to reach 1.25 billion USD by 2025.
Scenario 2: You know the value of sentimental analysis but do not know how to leverage it.
Businesses use sentimental analysis to monitor and analyze customers’ opinions and emotions from various texts on a website, social media, and product or service comments. Skimming through large amounts of data to churn out customers’ sentiments can be daunting. All thanks to AI-assisted sentiment analysis, you can now quickly understand how your customers feel about your services or products.
Scenario 3: Your business has suffered due to inaccurate forecasting.
Accurate sales forecasting helps businesses predict future sales for long-term business growth. It can also enable the detection of potential problems to avoid them. Implementing AI-based CRM software can help detect how each data element relates to sales performance.
Scenario 4: You have a great online presence but an awful in-store experience.
If that describes your business, it is time to adopt AI to provide the next level of a personalized in-store experience. AI can enable instant access to products or services and contribute to smarter buying decisions.
A Quick Guide to Implementing AI For Your Business
AI applications can be used in many ways depending on organizational needs and the business intelligence (BI) insights derived from the data collected. Here are some tips to explain the steps businesses can take to ensure their implementation is a success:
1. Know your options.
Find out your options and what AI can and cannot do. This will help you decide if you want to add specific AI technology or change the entire app.
2. What is your business goal?
Working on an ‘end-first’ process will help refine the list to select specific features or capabilities that best suit your business goals.
3. Find out how AI can benefit the end-users
This is crucial as it gives you the two main objectives for a successful implementation. Then, choose the software and hardware you need to make this process a reality.
4. Evaluate your internal capabilities
You need to consider if you have enough skilled employees in-house who can manage the process and if you have the budget to outsource it.
5. Choose between building or integrating the system
Remember building an AI system from scratch can take several months. On the other hand, if you choose to use a premade system, your AI partner will help install the software app, train your staff, and fulfill your business needs.
6. Test system
Testing the system for a predetermined time will help you understand if the clients are more satisfied, and if the employees work more efficiently.
7. Choose the right partner
A good AI partner will be clear about the offer, value, and terms of cooperation.
8. Make refinements
After you gather a reasonable amount of data evidencing the success of an AI solution, you can start making refinement changes to the solution.
Watch more: How Artificial Intelligence Can Enhance Your Customer Experience!
Avoid 4 Common Mistakes While Implementing AI
A well-considered plan can lead to success, but a mistake can cost you considerably in terms of time and resources. Here are four common mistakes to watch out for when implementing AI:
- Not applying AI to the right use cases: If AI is incongruous with your business goals, your time and resources will be wasted
- Not diligent in hiring the right talent: Hiring the right AI team is like putting together the right football team that can win. Hire candidates with specialized skill sets and experience that match your business needs.
- Ignoring data: Ensure all teams are responsible for organizing, vetting, and maintaining data.
- Inadequate intervention: Inadequate intervention could result in AI recommendations that hinder business objectives. Hence, ensure interventions are scalable and repeatable.
How Fingent Can Help You With Personalized AI Software Development
Artificial Intelligence is for every future-oriented business. How exactly you will use AI depends on your business goal and how well it was implemented. At Fingent top custom software development company, the AI developers are equipped to design intelligent solutions to help solve your business problems, automate tasks, and improve customer experience.
Our suite of AI solutions includes data capture and processing. Our AI developers are also proficient in analytics, multi-platform integration, and ML solutions.
Let us help you reach your business goal with intelligent AI-driven solutions. Give us a call today.
There couldn’t be any better empirical evidence than COVID-19 to prove the transformational impact of AI on healthcare. Had AI not been there, it would be unviable to develop and distribute vaccines at record speed, empower public health officials and front-line workers, support equipment manufacturers, take critical life-saving actions, and respond to these abnormal times.
Leading pharmaceutical company Moderna relied on automated processes and AI algorithms to rapidly bring out their covid vaccine nominee for its first clinical trial. From an anticipated 15% chance of success, AI helped the pharmaceutical company lift their success rate to a whopping 50%, placing the vaccine efficacy levels close to 94.5%. AI’s role in healthcare isn’t limited to pharmaceuticals alone.
In this piece, we’ll see what AI holds in store for healthcare now and in the coming years.
Read more: AI in Medicine – Yesterday, Today, and Tomorrow
Top Applications of AI in Healthcare
Over these years, AI has brought more sophistication into what humans do, particularly in segments like healthcare. Here’re a few AI healthcare transformations currently underway:
1. Allows People to Stay Fit
AI and the Internet of Medical Things (IoMT) have helped launch several consumer health applications and self-health monitoring devices such as wireless-enabled wearables, activity trackers, pedometers, smartwatches, and other physical fitness monitoring gadgets. These healthcare technology applications encourage people to take proactive measures for maintaining a healthy lifestyle and allow consumers to be in control of their health and well-being. Similarly, healthcare professionals can rely on AI to better understand what their patients need. With insightful patient data, caregivers can provide the necessary guidance and support, thereby enabling people to stay healthy.
2. Early Disease Detection
It’s well established that the early detection, screening, and treatment of cancer can improve outcomes. American Cancer Society is successfully using the cloud ML engine on the Google Cloud Platform to analyze breast cancer images with 12x improved speed. Advanced deep-learning models are being used to detect Diabetic Retinopathy (DR) during the early and asymptomatic stages. This helps save diabetic patients from the daunting issue of irreversible blindness caused by lesions on the retina. The proliferation of consumer wearables and self-health monitoring devices, combined with AI, allows doctors and caregivers to detect potentially life-threatening ailments at more treatable stages.
3. Medical diagnosis
The market value of global AI in medical diagnostics is estimated to be worth $3988.0 million by 2026. Leading AI platforms such as IBM Watson Health and Google DeepMind Health enable a large number of healthcare organizations to unlock massive amounts of clinical data to boost medical diagnosis.
Combining machine learning and neuroscience, AI helps build powerful neural networks that are capable of imitating human abilities. Watson can review and store huge volumes of medical data scattered across journals, seminars, conferences, treatment case studies, and umpteen other sources. AI’s ability to ingest enormous amounts of data, decipher images, and discover hidden patterns escaping even the most-canny human eye are expected to significantly transform healthcare in the near future.
Read more: Deploying Digital Twins in Healthcare
4. Clinical Decision-making
In the past, clinical decision support systems (CDSS) were fed by inaccurate datasets that led healthcare professionals to make flawed assumptions. Diagnostic errors are one of the top reasons behind higher mortality rates and prolonged hospital stays. Thanks to AI, ML, and the growing volumes of real-time clinical data gathered from numerous healthcare apps and devices. Clinical decision-making is now more precise and efficient with the emergence of AI-powered CDSS.
Sepsis Watch, a deep learning tool installed in the emergency department of the Duke University Health System has considerably lowered sepsis-induced patient deaths. The tool flags sepsis patients who are at medium to high risk, allowing doctors to identify early signs of sepsis. Not only does AI reduce diagnostic errors, it also suggests the best practices for post-surgical care and patient discharge, as well as recommends medications and follow-up checks to optimize patient care.
5. Medical Research and Training
The average cost of bringing a pharma product to the market is exploding year over year. Manual R&D processes and the time taken to conceive, design, and conduct clinical trials slow down drug production and increase the costs involved. The latest advances in AI help streamline drug research and discovery and reduces the time to market for new drugs. Researchers can use AI-enabled simulations on their devices to explore the impact of new therapies or medicines, thereby reducing the risk of testing in live conditions.
AI allows training and quick catch-up sessions to be held from anywhere, even after a medical resident leaves the campus post a tricky clinical case. AI-powered chatbots can answer queries on the fly, at any hour of the day. With instinctive AI diagnostic support and a low level of supervision, the next generation of medical students will definitely rely on automated self-learning platforms.
Read more: How Virtual Reality Improves the Standard of Medical Education and Training
Most-anticipated AI Innovations in Healthcare!
Real-time data, technological advancements, and innovation are driving the industry forerunners to discover new AI opportunities in healthcare. Here’re a few healthcare AI innovations to behold in the coming days.
1. Address the Shortage of Physicians
Google is running experiments to develop transformative AI imaging and diagnostic tools that can assist clinicians and even address the dearth of talent in a possibly grueling situation (like the global pandemic). Further research is being held to improve the detection of breast and lung cancer, sight-threatening eye conditions as well as skin diseases.
2. Genomic Analysis
Research proves that 30% of individual health effects are congenital. All of us carry 4 to 5 million genetic variants, each of which can influence our health traits. The cost to sequence a genome and poor sequencing data have marred genomic analysis in the past, preventing clinicians from identifying genetic disorders and high-risk diseases at an early stage. Deep neural networks such as DeepVariant exhibits top-class accuracy in analyzing genetic variants and sequencing genome data.
3. Decentralized Clinical Trials
The advent of AI is helping medical researchers and pharma companies worldwide to reduce in-person assessments in clinics. Various digital endpoints, such as smartphones, healthcare software, wearable sensors, EHRs, video conferencing, and numerous physical fitness monitoring devices are being used to gather data with the patient’s consent. This has drastically shifted medical trials from clinics, thereby reducing the risk of compromised immunity, exposure to fatal viruses, respiratory or cardiac malfunction, and other lethal health risks. Decentralized clinical trials allow institutional and federal health boards to review existing processes, implement new regulations quickly, listen to feedback and concerns, take proactive steps, and make healthcare more accessible to everyone.
AI is Pivotal to Healthcare New Normal
Necessity commands invention. Over the past two years, we saw how healthcare stakeholders around the globe took efforts to harness AI technologies – for discovering new drugs, extending the capability of existing drugs, reducing the time to distribution, screening for COVID-19 symptoms, supporting clinical decisions, automating hospital operations, and so on. Key U.S. healthcare decision-makers surveyed by Intel stated that their trust in AI in processing medical records has increased by 67%. As AI gets infused into more crucial areas of healthcare, it’s important to earn customer confidence and comfort, and support from various stakeholders in the ecosystem.
Fingent custom software development experts helps develop innovative, AI-integrated, custom healthcare software applications to improve your competitive advantage, time-to-market, ROI, and clinical precision. As the world enters a new era of health, it’s important to choose the right technology partner that helps adopt the right technology at the right time. We have an eminent list of healthcare clients, including NHS, Novita Healthcare, Mundipharma, and Casenet, LLC among others.
Contact us to understand how we’re helping businesses build trust and deliver sustained outcomes by making the most of our experience and technology.
Language gives power. Using NLP (Natural Language Processing), conversational AI gives businesses the power to stay on top of the game.
Why can we say that?
Today, digital-first marketing is a growing trend and conversation is the defining element of a digital-first customer experience.
Is your mind racing with questions like what is Conversational AI? How does it work? What are its benefits? Can my business benefit from Conversational AI?
Well, this article answers each of those questions. By the end of this article, you will understand all you need to know about conversational AI.
What Is Conversational AI
Conversational AI is a subset of Artificial Intelligence. It uses Machine Learning (ML), Natural Language Processing (NLP), neural networks, and speech recognition technologies to mimic human conversation. Conversational AI can empower businesses to automate highly personalized customer service resolutions at scale. This makes the customer’s experience unique and relevant while reducing the effort and resolution time of the company. As a result, you have happy customers who stay loyal to your brand.
Conversational AI is becoming one of the most popular technologies. The global conversational AI market size is expected to grow at a CAGR (Compound Annual Growth Rate) of 21.8% by 2026.
This unique technology is used to engage customers in services such as support, marketing, helping a prospect enter a funnel, and even sales. Conversational AI will make brands more human and help engage with customers more personally.
The most common use of conversation AI experience is through voice assistants. This allows brands to participate in direct and uninterrupted conversations at scale.
Read more: Capitalizing on AI Chatbots Will Redefine Your Business: Here’s How!
How Does It Work?
As mentioned earlier, NLP is one component that enables conversational AI. It is an umbrella term that includes NLU (Natural Language Understanding) and NLG (Natural Language Generation).
Human language is complex. People can say the same thing in many different ways. However, a computer can decipher customers’ intent with the help of natural language understanding technology. It looks at the context of what a customer said to accurately understand what a person needs. Leveraging NLU can enable conversational AI to understand grammatical mistakes, abbreviations, slang, and misspellings just like a human would.
Once it understands what a customer wants, ML is used to determine the appropriate response. Over time, conversational AI learns which response is the best and improves its accuracy.
Finally, NLG creates an easy-to-understand reply that’s as human-like as possible. Advanced conversational AI can use contextual awareness to remember bits of information to facilitate more natural conversation.
How Does Conversational AI Benefit Different Industries?
Conversational AI technology has substantial benefits for businesses across industries. Here are the most important benefits:
1. More engaging and easy interactions
Reading dry FAQs can be boring and may drive your potential customers to your competition. On the other hand, having the choice to take part in a conversation can be more engaging and has the potential to convert your leads.
Because conversational AI can use past interaction history or other relevant data, it can personalize each customer interaction. It spares the customer the trouble of searching through multiple pages to find answers to his questions.
2. Higher customer satisfaction
Conversational AI allows industries such as healthcare and hospitality to provide real-time information to their end-users. AI-powered chatbots can be accessed more readily than live support. Such quick support helps avoid long waiting times improving customer experience. Improved customer satisfaction can impact customer loyalty and referrals.
Read more: 5 Leading Chatbot Use Cases Explained with Real-life Examples
3. Greater support with minimum cost
Customer care costs have a high impact benefit on finance industries. Conversational AI can help keep customer care expenditures in check. It can improve overall efficiency and productivity by handling routine issues much faster. These bots can also reduce customer support tickets.
They can deflect the number of routine tickets sent to human agents and boost team productivity. Chatbot templates can be used to collect information and help resolve clients’ queries faster. AI-powered bots provide relevant information faster and boost the accuracy rate over time. They can learn from past interactions and continuously evolve.
4. Improved lead generation
Lead generation is the foremost goal of sales and marketing teams in industries such as insurance. Virtual assistants can engage visitors who browse the site and improve lead generation.
5. Increased operational and customer support efficiency
Conversational AI can come to the rescue when a business experiences a sudden rise in the volume of chats. Plus, these chatbots are cheaper and faster than hiring new agents. With automated operations, businesses can focus on other important functions.
Additionally, conversational AI can determine a customer’s emotional needs and communication preferences from previous interactions. Hence, deploying a conversational chatbot is a wise decision during the holiday season.
6. Increased reach
Conversational AI enables your brand to reach a wider audience as it can understand both verbal and written speech. For example, you can reach elderly and hearing or vision impaired customers who find it difficult to navigate the web.
7. Boost revenue
Conversational AI can considerably reduce website costs. When properly implemented, a conversational AI chatbot provides live support and assistance 24/7. They can qualify leads by asking predefined sales queries to nurture the lead.
Once the lead fills a form or signs up for a newsletter, the chatbot can analyze the text of the lead and find the most appropriate response. This is especially useful for banking services and increases their revenue.
Conversational AI chatbots can quickly act on positive user intent and present a service or product that meets their preferences.
Use Cases
1. eCommerce
Conversational AI helps businesses form customer relationships that last and ultimately sell more products. It can help in cross-selling and upselling products, finding specific products, and placing orders. It can also answer FAQs, make suggestions about the size, and even help with returns.
2. Banking
Conversational AI can be used to provide a simplified and intuitive customer experience. It can facilitate transactions, help with account services, and assist customers to apply for loans.
Among the best use cases of banking are helping find a nearby ATM, assisting with mobile deposits, and sending billing reminders and notifications.
3. Insurance
Conversational AI can help distribute products, resolve claims, and increase customer awareness and education. It can also manage renewals, and gather customer feedback and reviews.
4. Healthcare
In many ways, conversational AI can make things easier for patients, doctors, nurses, and other healthcare staff.
It can improve operational efficiency by answering common health questions, booking appointments, and checking up on patients. It can even escalate emergency cases.
Read more: MUSA: Fingent’s AI-powered Virtual Assistant Helps Employees With HR & DevOps Queries
Quick Resolutions, Seamless Conversations
Today, customers expect a quick resolution and seamless conversations when interacting with your business. Conversational AI will assuredly provide personalized assistants that both serve and predict customer needs.
There is no doubt that conversational AI will continue to evolve into a sophisticated technology. Given that, your organization needs to clearly understand what conversational AI is so you can leverage it and build customer experience around it.
Connect with Fingent software development experts, get your business set up with Conversational AI, and get set to reap the rewards.
Why AI? What Can AI do for me? When? How?
So many questions about AI! Considering that AI has become a revolution that has taken today’s business world by storm, it isn’t surprising that there are so many questions.
Most businesses can testify to the fact that Artificial Intelligence (AI) has improved the way their business operates. Businesses implement AI to increase efficiency, grow their revenue, and improve customer experience. Let’s explore the benefits of AI and get to some of the top questions about AI.
Read more: Artificial Intelligence: Taking the buzz out of the buzz word!
Importance Of AI Implementation In Business Today
According to the 2020 Global AI survey conducted by McKinsey & Co, 44% of the companies reported cost savings from AI adoption in their business. They also reported that AI adoption has decreased business units cost by at least 10% on average. Is this the only benefit of AI implementation? Not in the least. Here is why AI is so important.
1. Efficiency
AI handles manual tasks at a pace and scale that is beyond human ability. This allows workers to move to higher-value tasks that AI technology cannot handle.
Such a well-calculated balance helps businesses minimize the costs associated with mundane tasks while maximizing the talent of human capital.
2. Shorter business timeline
Businesses are moving faster in this digital age. However, AI empowers businesses to move faster as it enables shorter development cycles and reduces the time taken to move design to production output. In turn, this shortened timeline delivers better and more immediate ROI.
3. Improved customer service
Delivering a positive customer experience has become a determining factor between a successful and an unsuccessful way of doing business. Best customer service includes knowing the customer, their needs, and presenting customers what they need when they need it. That is exactly what AI can do constantly.
4. Near-instantaneous monitoring capabilities
AI’s capacity to process massive amounts of data can help businesses stay alert to issues, recommend action, and initiate a response. This prevents costly and disruptive breakdowns and thereby eliminates the cost of maintenance work. AI’s monitoring capabilities can also be effective in enterprise cybersecurity operations.
5. Error-free results
Human employees are prone to mistakes. By adding AI technologies businesses can ensure that errors are minimized as it can automate repetitive, rule-based tasks. This speeds up and enhances the entire process. Plus, it can be trained to improve and take on broader tasks.
Though AI has proven to be important for business success, some hesitate. Why? Let’s find out.
Read more: The future of Artificial Intelligence: A game-changer for industries
Why Do Businesses Still Hesitate?
Some decision-makers remain hesitant because they feel they are venturing into the unknown. Here are some additional reasons:
- Limited AI talent: Larger organizations are more likely to have the necessary technical skillset to understand the business case for AI investment. Some lag behind because they do not understand AI’s value proposition.
- Data issues: Insufficient quantity or quality of data is a common barrier to AI implementation.
- Concerns about responsible AI: Some have concerns about ethical breaches with AI.
- Concerns about AI investment: Many companies are concerned about moonshot investment.
Answering Top Burning Questions On AI Business Application
The rise of the popularity of AI welcomes several questions that must be answered to help businesses make informed decisions.
1. How does my business benefit from AI implementation?
AI cannot do everything. However, it can give your organization the ability to run automated tasks, pull reports and analyze data at the touch of a button. This can give you a strong competitive advantage. AI is capable of processing enormous amounts of data to unlock actionable insights.
2. When should I consider building an in-house AI-powered solution?
- When you are building something that differentiates your core product. If the project is not central to your business mission it probably isn’t the best use of your team’s time and resources.
- When you have a sizeable engineering infrastructure because you will need dedicated resources to build, maintain, train, and improve your solution.
- When no vendors can meet all your requirements. Here’s a tip: when evaluating a vendor, ensure to ask for customer references and case studies of companies where they successfully implemented their AI solutions. Using a vendor can often be faster, cheaper, and provide better results than what a company can build on its own.
3. How to evaluate if a company’s AI is “good?”
Here, “good” depends on human talent, data, algorithms, and computing power. In other words, it depends on the company’s ability to gather the best data and the best skill set to solve the problem at hand. So, it can be helpful to ask companies what is the quantity of data, compare the relevance of their data with yours, and how the system was built.
4. Why is AI relevant to customer service?
The businesses that skillfully weathered the storm caused by the pandemic provided their customers and employees with reassurance, stability, and easily accessible information whenever needed. Deploying bots on websites will increase the use of self-service and provide relief to phone or chat queues.
Read more: 9 Examples of Artificial Intelligence transforming Business Today!
5. How can AI be used for a quick win?
AI bots can handle high volume repetitive tasks as we have already discussed. These tasks include answering questions, scheduling appointments resetting passwords, and more. Automating these tasks can provide quick and economically substantial wins.
6. What are the pitfalls to avoid?
There have been designs that left customers adrift in a sea of endless menu options. To avoid repeating this pitfall, design your bot thoughtfully and within the context of the end-to-end customer journey. This must include a seamless path to agents where customers do not have to repeat the information.
7. How can Fingent help leverage the best of AI?
AI systems require training and Fingent understands that. We are here not just to implement AI solutions. We will train, monitor, and make sure that it works. We have an excellent track record with business cases showing the financial value of implementing AI.
Our experts at Fingent custom software development experts can develop solutions that quickly show financial benefits. We have invested in extensive training, which is why Fingent’s AI specialists can strategically plan data warehousing and cloud computing in their sleep!
We can build on a foundation of open-source software and develop an AI solution that fits your needs on commodity hardware. We can also choose a platform that is simple to deploy and manage. We assure you that Fingent can understand and support the complete lifecycle. Fingent can provide AI applications to solve the previously unsolvable. Let’s discuss your project.
How Your Business Can Reap Profits Through AI Integration
“Is it the right time for companies to capitalize on AI?” – This question is lingering around the tech air for almost a decade now.
Fear of losing jobs to automation, soaring IT budgets, lack of adequate skills and infrastructure, inability to perch on the ideal technology partner, and many other reasons are refraining businesses from venturing boldly into artificial intelligence initiatives.
Engaging with clients across the globe, Fingent has realized that many of them believe AI to be the next thing in their business. Research suggests that next-generation enterprise IT systems that include AI components — called “future systems” — will grow revenues among leading companies by as much as 33% over the next five years. Many have adopted machine learning and other forms of AI into their core business processes.
Moving from data-driven to AI-driven digital environments is the next evolutionary phase in business. By embracing AI into their workflows in strategic ways, business leaders will transform how data adds value to the business. This will introduce new ways for humans to contribute as well.
As business leaders consider AI for their organizations, the top question is no longer “What is AI?” or “How does it work?” but “What can AI do for us?” In our effort to help our customers take advantage of AI, we have curated the pain points faced by businesses and how they can identify business capabilities and opportunities with AI in our latest white paper.
The insights you will gain by downloading our white paper:
- Understand more about AI and its broad categories
- Identify business capabilities and opportunities with AI
- Key business areas where AI brings the most value
- Steps to build a successful AI strategy for your business
- The simplest way to integrate AI into your business
- How to involve all in the AI wave to gain positive outcomes
Link to Download: How Can Your Business Use AI to Achieve Higher Profits Now?
Fingent’s technology solutions ensure that technical implementation and strategic adoption of AI into your business happen in accordance with your long-term goals. Connect with our AI experts today to start a conversation about your first AI initiative.