Category: Technology

Customer Experience – Two words that could make or break your business.

Today, customers expect businesses to provide nothing short of an excellent customer experience whenever and however they shop. This is going to be the main differentiator between you and your competitors. The race to own customer experience is on!

Some businesses are learning this the hard way, but you don’t have to. The solution is right here – Technology. Through this article, we want to help you understand how technology can improve customer experience. We will also discuss top technology trends to help your brand beat the competition.

But first, let us explain why customer experience matters.

Does Customer Experience Matter?

Did you know that 66% of customers expect companies to understand their needs and expectations?

Gone are the days when an unhappy customer used to complain directly to the brand. Today, they choose to complain to the rest of the world through social channels such as Twitter, Facebook, Instagram, and more. Creating a powerful and memorable customer experience is more complicated than ever in such a scenario.

While that is true, it is also true that these customers share positive customer experiences on these platforms as well. 71% of customers recommend a product or service just because they received a “great” customer experience.

As a brand, you may define your brand’s promises. However, the customer decides whether or not your brand delivers on its promises. According to market research by Gartner, customer experience drives over 60% of brand loyalty.

To satisfy customers, most businesses hire and train good people. But that is not sufficient. They need tools that will help them deliver a top-notch customer experience and make them want to come back to you. Using technology for customer experience can build your brand through satisfied customers.

That takes us to the next intriguing question: How does technology improve customer experience?

How Does Technology Improve Customer Experience?

Technology for customer experience gives customers unlimited access to information, allowing them to demand products and services whenever they want. As the speed of technology to enhance customer experience accelerates, businesses must evolve quickly. Brands that use technology to enhance customer experience will thrive, but you can be sure that those that are slow to react will not survive.

Here are three key ways in which technology enhances customer experience:

1. Increased opportunities 

Using smartphones, customers can research products, raise queries, and purchase products or services no matter where they are and what they are doing. A study revealed that consumers in the UK spend over 22.8 billion pounds per year on online shopping while using public transport.

With consumers becoming hyper-connected, businesses need to leverage increasing opportunities to engage new and existing customers. Technology can help companies integrate all marketing channels to deliver a cohesive customer experience irrespective of their channel. Technology can help you use customer data effectively to deliver seamless experiences.

2. Reach every audience segment

According to a Google report, 90% of online shoppers use more than one device to shop. A shopper may use one device to search for a product and another to check the pricing and complete the purchase.

Businesses need to be available with the right messaging at the right time. Technology for customer experience will help you reach your customers on any device. Technology can enable you to provide contextually relevant experiences that engage customers in the right place, at the right time, and with the right message.

3. Communicate better

Most customers switch brands because the purchasing process is too difficult. Technology offers solutions to reach customer demands. AI-powered chatbots enable your brand to communicate better with your customers.

Since chatbots provide detailed records of conversations with customers, you can use that data to analyze to reveal insights on consumer pain points. You can use these insights to improve products and services.

Top Technology Trends That Improve Customer Experience

1. AI chatbot

AI chatbot is restructuring the way brands communicate with their customers. These conversational AI chatbots are responsible for creating a personalized customer experience, making sentiment analyses, and more. Consider a use case:

Fingent helped one of the oldest state universities to develop an AI-driven ecosystem that allows students to interact with an AI chatbot (teaching assistant). These are built to be trained and allow instructors to upload the content that students need. These chatbots can manage student queries and allow for keyword and tag searches of teaching material.

2. Virtual reality

Virtual reality is a game-changer enabling customers to educate themselves about your company. Plus, VR redefines how your sales reps understand customers, increasing their empathy and enabling them to suggest better solutions to their issues.

Fingent recently built a highly interactive visual medium to enable medical students to quickly gain efficiency in stand medical procedures.

3. Augmented reality and 3D configuration

Augmented reality is considered a boon to improving the digital customer experience. It gives customers a clear picture of your product, helping in quicker purchasing decisions.

Fingent helps build interactive mobile apps that enable 3D purchase decisions. It also develops agnostic web solutions for eCommerce to better use AR capabilities.

Watch more: Take a look at how Fingent helps leading businesses thrive with 3d Web Configurator and other AR/VR capabilities.

Fingent- A Perfect Partner to Create Custom Technology Solutions To Enhance Customer Experience.

The impact of technology is a powerful catalyst for change, and the speed of that change is getting faster and faster. Fingent can help you identify technology trends and capitalize before it is too late.

You must acknowledge and meet consumer demands for your business to increase market share and stay relevant. Marrying customer service and technology can drive customer delight.

Fingent brings you deep expertise in experience strategy and design, harnessing best-in-class solutions. We can help you drive transformation across the customer lifecycle, sales, marketing, and more.

Fingent top custom software development company is equipped to provide support across channels. Our quick and easy setup allows you to cut time and lower costs. With the help of AI and automation, we can route your tickets to the right agent and boost customer satisfaction. Find out more about us and chat with our experts to see how this can be done.

Manufacturing has long been a driver of global prosperity and economic growth. We all see astounding growth as the manufacturing industry evolves and keeps up with changing consumer needs.

This has led industry leaders to shift their focus from traditional to smart factory technology. A smart factory offers many benefits to operators, managers, and executives of companies in this industry. And yet, a few companies hesitate to start their journey the ‘smart way.’ If you are one of those companies, this article will help you with details and show you how a smart factory can bring its business operations and customer satisfaction to a new level.

Let us begin by understanding what a smart factory is.

What Is a Smart Factory?

Take a manufacturing facility and completely digitize it – that is what a smart factory is. The smart factory is a digitized manufacturing facility that uses digitized manufacturing methods, devices, and systems to continuously collect and share data. This data is used to make informed decisions that improve processes and address manufacturing challenges. The smart factory is a new industrial revolution phase focusing on real-time data, connectivity, automation, and Machine Language.

A smart factory uses the best digital and physical worlds to monitor the entire production line, from supply chain management to manufacturing tools. It can even monitor the work of an individual operator on the factory floor.

Why Is It Smart to Embrace the Smart Factory Movement?

According to a press release by Marketsandmarket, the smart manufacturing market was projected to reach USD 228.2 billion by 2027. It is expected to grow at a CAGR of 18.5% from 2022 to 2027. Then, most businesses consider smart factories highly beneficial and crucial across industries and sectors. Here are some of those significant benefits:

• Measure key performance indicators: A smart factory provides managers with automated data that is accurate. This data gives them the ability to measure key performance indicators more efficiently.
• Think ahead better and faster: Smarter predictive maintenance allows managers to predict and resolve maintenance issues better and faster.
• Efficient demand management: It can forecast more accurately and thus reduce waste enabling efficient demand management.
• Boosted productivity:  Managers boost productivity as it can provide seamless data on machine maintenance and potential bottlenecks.

Read more: A Look Into The Future Of Manufacturing Industry: The Challenges, The Opportunities, and The Technologies That Will Help Revolutionize

Key Elements of a Smart Factory

There are a few elements that make the smart factory what it is. Understanding these elements will help you see how it fits into your business.

1. Robotics

Robotics is a crucial element of a smart factory. Robotics enables smart material handling and adaptive operations. Besides, robots come with flexible infrastructure that can scale depending on business needs.

2. Big data and IoT

The Smart factory provides augmented access to large amounts of data obtained through the cloud and connected devices. This can empower manufacturers to identify patterns and insights, thus enabling them to make more informed decisions to optimize operations and improve productivity in the long run.

3. Cloud-based management

Cloud-based management includes a suite of professional software architecture that can be developed to empower highly efficient business operations. This can offer market reactivity and scalability. It can also provide real-time visibility into a business’s inventory and manage supply chain operations from the manufacturing to the end customer.

4. Virtual reality

Manufacturers have been using virtual reality for some time now. It uses computer-generated visuals that help improve the experience of the user. It trains engineers to handle complex virtual processes, maintenance systems, and troubleshooting.

5. Cybersecurity

Smart factories tend to increase cyber security threats. Thankfully, smart factory technologies are equipped to streamline cyber threats. For example, AI-powered bots act as guards 24/7, ensuring data security.

6. Additive manufacturing

Additive manufacturing is used for rapid prototyping, on-site manufacturing, and more. It saves time and costs spent on production and tool replacements. Quick reproduction, reconfiguration, and validation can also enable reverse engineering.

Read more: ERP Systems for Manufacturing: How it Improves Business Process

A Look into The Future of Smart Factories

Manufacturers that leverage smart factory technologies will unlock game-changing flexibility and agility. Emerging imperatives for the manufacturing industry include supply chain resilience, enhanced productivity, flexibility, and sustainability. In simple terms, only those manufacturing systems that enable a demand-driven and dynamically optimized value chain will survive and thrive.

1. Increasing demands

In the coming years, factories will face more stringent regulatory and compliance requirements ever. Such demands also merge with global trends toward adopting digitization. Given their ability to drive exponential productivity and sustainability benefits, digital technologies are at the heart of these changes.

2. Automation and beyond

Across the world, manufacturers began their digital transformation with automation to minimize manual operations and maximize output. But technological advances are enabling manufacturers to empower operators to understand operational data. Furthermore, newer platforms and integration technologies are driving down the cost of digital transformation.

3. Transformational gains

By implementing an integrated automation system, manufacturers can accelerate their sustainable manufacturing vision. Driven by the unrelenting need for agility and resilience, manufacturers can empower their workforce by adopting smart factories. By building future smart factories, they can unlock value benefits for all stakeholders along the way.

Creating a Smarter Future for Manufacturing with Fingent!

A smart factory is a direct way for manufacturers to excel in a competitive and dynamic marketplace. Partnering with the right app development company could mean make or break for you. Manufacturers need the right partner to help them implement solutions correctly. Fingent has been a consulting partner to several manufacturing companies and proved its mettle. Have a look at our Case Studies:

With the right partner, upgrading a traditional factory to a smart factory is much simpler than most imagine. Fingent builds custom solutions to integrate factories with smart solutions. Through our experience, we have already helped many businesses transform their traditional factories into smart factories.

Our experts at Fingent can help retrofit most existing manufacturing equipment and set up a centralized hub that can receive data from all the sensors. A cloud service could be set up to monitor and analyze from offsite. What is more, these solutions are upgradeable.

This allows established factories to upgrade at their own pace while keeping the upgrade cost low. Do you have a traditional factory that needs to become smart? Contact Fingent today!

The ongoing digital revolution is forever reshaping how businesses interact with their customers.

Modern technologies such as artificial intelligence, chatbots, machine learning software, and other solutions have allowed businesses to break away from traditional phone-based support models in favor of an omnichannel approach.

Countless businesses now allow customers to connect with support agents across multiple mediums, such as email, messenger applications, SMS, and on-site chat apps. However, far too many are still neglecting a core component of the service experience — self-service.

Whether your organization operates within the business-to-consumer (B2C) space or the business-to-business (B2B) space, you must offer customers self-service

options. We explore the role that self-service plays in the modern support experience.

When businesses understand the benefits of offering self-service, which technologies enable them to provide this type of support, and how to leverage ambitious custom software development services, it is easy to transform the high-value customer support vision into a reality.

Read more: Why Your Business Needs a Customized Order Management System

Why Customer Self-Service Experiences are Invaluable in the Digital Age

Consumer expectations are evolving as technology becomes increasingly ingrained in our daily lives. Smartphones allow consumers to access virtually limitless information on a whim.

When most individuals encounter a problem or want to acquire new information, they typically break out their smartphones, conduct a quick internet search, and select the most relevant results.

“How does this apply to customer service?” you ask. Simply, consumers have become much more self-reliant when encountering an issue with a product or service. The majority of your customers would much rather troubleshoot a product independently without having to

connect with a service agent. It’s also true when they want to purchase products or services.

Therefore, your organization must offer self-service support options if you want to meet the expectations of current consumers. By doing so, you can mitigate consumer frustration, expedite the resolution process, and demonstrate that your company is responsive to the needs and wants of your target audience.

That said, creating a self-service experience on your website can be a challenging and tedious process. That is why many companies turn to experienced digital transformation companies when they need a custom technology solution.

What Technologies Facilitate Self-Service?

When businesses partner with a software development team to provide custom services, a broad range of technologies is available that provide clients with a competitive advantage. Some of these technologies include:

1. Artificial Intelligence

Artificial Intelligence technologies are essential for creating dynamic self-service experiences. Without these technologies, self-service tools would be rigid and provide minimal assistance to your clients. Fortunately, AI allows developers to create innovative solutions unlike any off-the-shelf option.

2. Machine Learning

When used in conjunction with AI, machine learning software offers an immersive self-service experience. Over time, machine learning technologies can provide curated assistance based on past interactions with customers.

3. Chatbots

While chatbot technology is often used for lead generation, it can also be deployed to enhance the self-service experience. For instance, a consumer could provide information about their problem to a chatbot, and the program could connect them with resources to resolve the issue.

This approach will prevent the consumer from searching through your support page or reading your entire FAQs section to find the necessary information.

Read more: Prepare for the Future of Digital Innovation with these 10 Services From Fingent!

Top Ways Self-Service Enhances Customer Experiences

Self-service is rapidly becoming one of the most popular methods of customer support, and for a good reason. Reliable self-service enhances great customer experience in several distinct ways.

1. Reduces the Workload on Staff

If service tools handled even 20% of your customer support requests, then your staff would experience a significant decrease in their daily workload. Naturally, a lighter workload would improve morale and employee retention. Ultimately, this will reduce your hiring and recruiting costs.

In addition, reducing the workload on your staff directly impacts the quality of service they can provide your customers. Your team will have more time to devote to your customers because they will not be in a rush to handle the next service call.

2. Empowers Customers

They feel empowered when you provide customers and clients with user-friendly self-service options. They are no longer at the mercy of your support staff and can freely take matters into their own hands to resolve frustrating product issues.

Self-service can also minimize any product issue’s negative impact on brand loyalty. If a consumer experience only minor inconveniences when a problem occurs, they will be more willing to continue doing business with your company.

3. Reduces Costs

Performing support tasks manually is labor-intensive and time-consuming. As a result, you must maintain a fully-staffed support center to handle incoming customer service requests. The overhead associated with this can be excessive.

While self-service solutions will not eliminate the need to employ support staff, you can reduce the size of your support department. Each team member can work more efficiently and focus on handling complex product issues. Self-service will address the majority of minor problems.

4. Expedites the Delivery of Service

Few things negatively impact a customer’s brand perception than excessive hold times. By partnering with software development experts to deploy self-service solutions, you can significantly reduce wait times and expedite support delivery to your clients.

This approach will boost customer satisfaction and optimize the average lifetime value of each client.

How a Software Development Partner Can Help

When you partner with an innovative team of cloud-native software development professionals, you can expect cutting-edge solutions that leverage the latest self-service technologies.

In addition to custom software development services, your partner should offer business technology consulting. With proper consultation, you can refine your vision with timely advice that will improve your approach, incorporate more suitable technology, or align with your budgetary constraints.

If you would like to work with a passionate software development company dedicated to helping you shatter growth barriers with dynamic tech, let’s chat today.

The strategic significance of advanced technologies as a critical business component is recognized by enterprises like never before. Besides business modernization and cost reduction, advanced technologies allow you to compensate for labor shortages, improve brand value and competency, and expedite research and innovation processes. However, several companies jump onto the bandwagon without properly understanding the practical applications and benefits of advanced technology in their business. Only 23% of small and medium-sized enterprises (SMEs) worldwide can invest in and grow with new digital tools, indicates the World Economic Forum. This data proves why companies should analyze advanced business technology examples before adopting digital tools.

Read more: Using technology to build customer trust: Your business plan for 2022

To simplify your understanding, here’s a quick rundown of five advanced business technologies we believe will help you cope with the new business and economic environment. 

• Simplifying Workflows With Cloud
• Low-code Applications
• Robotic Process Automation (RPA)
• Document Data Extraction
• AI Assistants

As these business technologies become more affordable and handy, businesses are ardently pursuing them to automate customer service, streamline workflows, differentiate products and services, and reach new markets. Depending on your budget, implementation timeline, priorities, and unique business requirements, our team at Fingent helps you build the roadmap for technology adoption. 

Let’s take a closer look at the five inevitable technologies for business transformation today:

Read more: How to gain maximum value from your technology investments?

1. Simplifying Workflows with Cloud

Workflow management is a highly overlooked enterprise strategy that directly impacts productivity. Managing different stakeholders, heaps of confidential data, and a series of preset and conditional tasks manually can lead to several errors such as employees missing key steps, policy violations, compliance issues, and monetary losses. By taking your workflows online, cloud-based workflow management applications increase your productivity. 

Cloud-powered workflows or workflow management tools:

• Are scalable, centralized, customizable to your needs, easy to integrate, secure, reliable, and hassle-free. 
• Offer a seamless and unified collaboration interface by preventing users from toggling between different messaging apps or communication channels.
• Reduce your dependency on in-house IT team by passing on the software maintenance responsibilities to the third-party software vendor. 
• Can be accessed via any authorized network (with approved access credentials), on any device, from anywhere, 24/7. This has been a huge game-changer for several companies that switched to remote operations during the pandemic. 

Example of a Cloud-based Workflow Tool

Finding a cloud workflow management tool that can be customized to your company’s requirements is daunting. The platform should integrate well with your organizational processes without disrupting your existing workflow. This is where digital workplace applications like InfinCE make the difference. 

With InfinCE Digital Workplace, Fingent has improved its productivity by 20% through real-time, effective, and easy collaboration. Data-powered dashboards, dedicated servers, collaboration apps, productivity tools, virtual desktops, private mobile apps, and a host of exceptional business management features enabled us to achieve a significant operational breakthrough in streamlining workflows. 

Read the full case study here.   

2. Low-code Applications

Gartner estimates that by 2025, 70% of enterprise applications will use low-code or no-code technologies. Digital business transformation requires pushing custom software solutions to the market at lightning speed. This demand has given rise to low-code applications that will break the technological and organizational silos of application development, automation, integration, and governance. Low-code development enables business users to bring innovative ideas to life by just dragging and dropping low-code elements through a graphical user interface. 

In simple words, low-code development enables “citizen” developers or non-tech users (such as business analysts or marketers) to build dashboards and survey or contact forms faster. Professional developers, on the other hand, can leverage low-code techniques to perform more efficient tasks such as legacy application modernization or back-end integrations with improved agility and velocity.

Use Cases for Low-code Applications

• Customer engagement applications and portals
• Mission-critical applications such as ERP software, payments manager, etc.
• Data analysis applications, BI dashboards, and data management software
• Mobile apps for customer engagement
• Order processing, inventory, order fulfillment, supply chain, and accounting apps

Salesforce Lightning, Microsoft Power Apps, and Zoho Creator are some of the leading low-code applications today. SAP users can leverage the unified low-code/no-code (LCNC) solutions on SAP Business Technology Platform (BTP) to rapidly build and extend applications, and automate tasks and processes.

3. Robotic Process Automation (RPA)

Robotic Process Automation (RPA), often referred to as software robotics, is an easy-to-use software technology that allows anyone to automate digital tasks within their business processes. RPA allows users to create software robots or “bots” that can learn, emulate, and then execute rules-based business processes. According to Forrester Research, RPA software revenue is expected to reach $6.5 billion by 2025, while RPA-related services revenue could hit $16 billion in the same year. 

Potential Use Cases for RPA 

We offer free proof of concepts to help you understand how RPA can improve your business efficiency and customer experience. Some of our top use cases include:

• Automating discharge protocols and data management to increase HR productivity in healthcare.
• Daily retail process automation such as order processing, inventory and warehouse management, etc. to save time and resources.
• Reducing customer wait times through RPA-enabled chatbots that answer customer queries in real-time. 
• Error-free, automated billing and invoices to keep your financial systems and reports up-to-date.
• HR teams can automate the maintenance of personnel data and records, streamline onboarding, and manage payroll seamlessly. 

Download our white paper to learn more about how Robotic Process Automation can simplify your business operations

4. Document Data Extraction

Extracting quality data out of unstructured or poorly structured data sources and documents for further processing, migration, and storing has been a biggest obstacle in automating back office operations. If you are entering structured invoices to a robust ERP tool like SAP, your payments can be automated and system records can be generated automatically. Due to the high costs of data extraction, several businesses extract only critical information fields, for example, the payment field within an invoice. Businesses are compelled to manually extract data from other important fields, such as validating the invoice’s compliance with VAT.  

AI-integrated OCR Software for Document Extraction

Optical Character Recognition (OCR) is an affordable, game-changing technology that automatically extracts data from the digital images (photos) of large files, scanned documents, and sub-titles or captions superimposed on an image. It reduces the time spent in manual data entry and extraction by automatically converting typed, handwritten or printed text into machine-readable text. AI-powered automated data extraction tools like DocuSign, Docsumo, Kofax Capture, and Amazon Textract leverage OCR technology to reduce the chaos involved in document data extraction and enable businesses to create an efficient workplace. 

Our team helps customize document data extraction software that can save your time and money by eliminating transcription and transposing mistakes.

5. AI Assistants

One of the most common examples of small business automation today is the use of AI-powered virtual assistants. They can save your employees’ productivity by automating the most repeatable customer interactions, such as technical support, appointment scheduling, lead qualification, and order management. AI virtual assistants like Google Assistant and Alexa can understand and act according to your voice commands and customize responses to your queries. Understanding customer intent through natural language processing and recognition allows AI assistants to maintain a human-like conversation.

Chatbots are a popular category of AI assistants that are designed specifically for text-based channels like SMS, email, and live chat. Recent years have witnessed a rise in chatbot adoption among several business verticals, product and service lines, websites, mobile apps, customer portals, and so on. Data shows that 58% of B2B companies and 42% of B2C websites are using chatbots to make their websites and mobile apps more interactive. More than 56% of businesses believe chatbots to be driving digital disruption in their industry. 

Case Study: AI Virtual Assistant for HR     

Fingent’s HR team was pressed to transform their service delivery model as routine, transactional tasks affected their performance and efficiency. To solve their struggle, Fingent developed MUSA, an AI-powered virtual assistant (a chatbot) and integrated it with Fingent Hub, Fingent’s internal employee management system. MUSA is short for Multi Utility Assistant. Employees can ask MUSA any queries related to HR and IT DevOps processes at Fingent, and they’ll get answered instantly. MUSA has improved our HR team’s response time by minimizing their workload and allowing them to focus on areas requiring more attention.     

Read the full case study here.

Business and Technology Are Inseparable

Gartner writes that businesses leading with technology employ advanced tech to boost their customer experience and revenue growth, have a clear understanding of their priorities, goals, and strategies, and invest in solutions tailored to their needs. Technology allows businesses to lower the walls within and between their organizations, customers, providers, suppliers, and so on. Organizations perceiving technology as a key business consideration will be able to match the pace of business change and stay relevant and competitive. 

How can your company embrace growth in a new era of transformation and business technology trends? If you feel you’re getting caught in the technology maze, take a quick break to contact us.

Our consultants can simplify your technology adoption strategy based on your priorities, customer needs, financial resources, and technical requirements. 

It apparently took 20,000 to 30,000 men to lay 2.3 million blocks to build the pyramid of Cheops, and it would have taken approximately 20 years to complete if the stones were laid at the rate of one every two minutes. Manual labor – tedious and time-consuming! Thanks to Robotic Process Automation (RPA) technology, most businesses can now be liberated from arduous work and improve their business process to gain increased profit. 

Robotic Process Automation technology is bolstering businesses across industries. Software robots do repetitive and lower-value work and advanced robots can even perform cognitive tasks like interpreting the text, understanding unstructured data, and plying advanced ML models to make complex decisions. 

Are you a business leader considering whether to move to RPA or not move to RPA? This blog can clarify any doubts you may have about RPA.

But what exactly is RPA?

What is RPA?

Robotic Process Automation is a software technology that is capable of imitating human actions while interacting with digital systems and software. Like us, it can understand what is on the screen and perform a wide range of defined actions. The only difference between us and RPA is that software robots can accomplish tasks faster and more consistently than we can ever do. Plus, they don’t need to stretch or go for a coffee break. 

How RPA Is Impacting Today’s Businesses

Robotic Process Automation is a clear and viable way to maximize efficiency, reduce costs, and enhance productivity. Though RPA is fairly new, it is gaining rapid traction across industries. Businesses are turning to RPA to minimize human effort.

According to a Deloitte RPA survey, 53% of respondents have begun their RPA journey by 2020, and this is expected to increase to 72% in the next couple of years. Why are so many companies adopting RPA? Here are a few reasons:

• Employees spend 10%-25% of their time on repetitive tasks. Implementing RPA will save that time for more productive work.
• Typical rule-based processes can be automated by 70% – 80%.
• IT departments of an organization spend 30% of their time on basic low-level tasks. Obviously, RPA adoption can save precious time for the IT department, which can be better used elsewhere.

Why Your Business Needs RPA? 

RPA is a user-friendly and cost-effective tool. The advantages it can provide are drawing interest from organizations from various sectors globally. Here are some business benefits for your consideration:

• Easy implementation: RPA implementation does not require programming skills. Non-technical staff can teach the bot how to perform an automated task with the help of a process recorder feature. 
• Less prone to make mistakes: RPA bots are extremely accurate and consistent. They are less prone to typo errors than a human worker. This feature is extremely beneficial in tasks such as setting up or removing user accounts, onboarding and offboarding employees or filling out information from another system. 
• Meet strict compliance standards: Once configured, RPA bots strictly follow the step and provide an audit trail for each step. This controlled nature is well suited for companies that want to automate their processes end-to-end while meeting regulatory compliance standards. 
• Work with existing systems: RPA doesn’t require any changes to your current system. It can be included as part of your automated business process. 
• Increased productivity: RPA improves process cycles and completes them faster when compared to manual processes.

Read more: Is It the Right Time for Your Business to Invest in Robotic Processing Automation?

Now that you know why your business needs Robotic Process Automation, would you like to know what some potential areas of your business that can effectively implement RPA are?

Potential Business Areas to Implement RPA Effectively

Here are some sectors that use Robotic Process Automation effectively:

1. Report Generation: Report generation is a time-consuming and tedious task as data must be collected from multiple sources and collated accurately. RPA takes care of this task allowing employees to directly get to drawing actionable insights from the collated information.

2. Customer Service: RPA can be set up to quickly handle the first two or three customer interactions before reaching a human executive. 

3. Accounting: RPA helps increase the speed of accounting, such as on-time invoicing and quicker fund release. You can fine-tune it to ask the vendor for relevant documents in case of any complexity.

4. Fraud detection: RPA enables banks to detect any anomalies in transactions and flag them against a fraudulent customer. It can reduce the time taken for fraud detection and investigation.

5. Data exchange: Data exchange is often time-consuming and error-prone. RPA can maximize productivity by reducing transaction times from hours to minutes. It can also minimize errors and maintain clean and organized data for business compliance results. 

6. Reduce cost and manual labor: RPA limits your labor expenses and increases productivity. This contributes to consistent work. It also reduces errors at work, which prevents time wasted on correcting errors and redoing the work. Thus, it is more cost-effective while minimizing manual labor. 

Top Sectors That Can Benefit From RPA

• Property management: Real estate businesses can use RPA to generate invoices automatically regarding property management. It can also reduce the turnaround time, leading to reduced operational costs. 
• Retail: These businesses can use Robotic Process Automation to monitor inventory and email sales. It allows retail businesses to monitor competitors’ websites to gain insights on products or customer service. 
• Finance: Finance companies can use RPS to manage customer accounts, data migration within accounts, sending and receiving payments, and more. 
• Healthcare: Manually recording patient data and updating it can take enormous time. You can automate this process through RPA to reduce workforce concentration. Also, you can leverage these insights to provide more personalized healthcare services.

Read more: Deploying RPA for Finance, Healthcare & IT Operations

Tips To Choose The Right RPA Partner

Once you have your strategy in place, consider these points in choosing the right RPA partner:

• Skills: What skills or certifications matter to you most?
• Bots: What kind of bots do you need for your strategy?
• Capabilities: Do these bots have the cognitive capabilities to handle unstructured data sources?
• Recorders: Does your provider have tools to record workflow?
• Scalability: Can your partner scale as per your requirement?
• Solutions: Are their solutions reliable?
• Reusability: Does your partner follow a modular automation approach?
• Process designer: Can your partner provide you process designer approach that suits your business?
• Cost: Find out upfront if the cost includes licensing, ongoing maintenance, and support.

Read more: Robotic Process Automation: Choosing The Right Solution For Your Business

Ready to Transform Your Business With RPA?

Given the apparent advantages of Robotic Process Automation is one of the best tools to adopt in the current business world. However, selecting the right RPA partner can be a demanding process. Do your due diligence, speak with our experts and see what exactly you need to be looking for and if we are a good fit for you. 

Once implemented, you can be confident that your business will benefit from better results and improved efficiency, which translates into higher revenues. 

Businesses are unique, like fingerprints! Their external and internal processes make them unique even in their sector. This makes it important to work on customizable solutions. After all, why would a customer come to you if you offer the same products and solutions as others? An end-to-end custom software solution will help you deliver unique customer experiences so that they are drawn to your business over other market leaders. Now is the time to take steps to start investing in end-to-end custom software that can offer you a competitive edge. 

Whether to gain greater connectivity for IoT devices or to develop your own software, there is a horde of reasons why buyers and sellers gravitate toward end-to-end custom software solutions. Here is what you must know about end-to-end software and the impact it can have on your business growth and scalability. 

What Is an End-To-End Custom Software Solution?

As the name suggests, an end-to-end custom software solution is a tool that has all the features necessary to execute the workflow from the very first step to the last one. This solution allows you to use an entire range of tools that you need to support and grow your business without using any third-party platforms. 

Read more: Custom software development weighed against pre-packaged commercial software

Why And When Must You Think of Investing in A Customized End-To-End Solution?

End-to-end custom software solution serves specific needs and day-to-day requirements of your business. More importantly, it can automate your organization’s manual tasks and business activities. Being flexible to your business needs, these custom solutions can be more productive and have a positive influence on your business. It is easy to work with it. And it can even suggest which professionals could execute a task if the operating person leaves. 

Here is when you must invest in an end-to-end custom software solution:

1. Do you need to juggle between software systems?

If so, an end-to-end custom software solution makes connecting different functionalities effortlessly. Even other software systems can operate in sync through an end-to-end custom software solution.

2. Do you need to automate daily activities?

The end-to-end custom software solution is an excellent resource for performing automation with utmost ease. 

3. Are you looking for ways to streamline your business methodologies?

For business productivity, you need streamlined and effective methods. And that is exactly what end-to-end custom software solutions can help you generate. Also, it can aid the structured collection and storage of all data.

4. Are you struggling to optimize business services and improve business efficiency?

An end-to-end custom technology can optimize business services by saving time and effort. Besides, since it supports the business processes, you will ensure to satisfy your clients and earn their loyalty.

5. Are you struggling to enable workforce productivity?

Most custom software comes with templates that allow you to customize the entire process, from start to finish. This solution enables email automation, marketing automation, and content management. These elements enable workforce productivity. 

6. Do you want to keep tabs on your business growth and maturity?

Since end-to-end technology works for multiple stakeholders, you will be able to keep tabs on income sources. This improves your brand identity.

Read more: 5 reasons why custom software development is important to your business

Top 6 Benefits of Implementing End-To-End Technology

All businesses across various industries can truly benefit from end-to-end custom software solutions. Here are the top 6 benefits for your consideration:

1. The ability to unify various processes in one concise format

Custom software provides an all-in-one cloud-based system that can correspond with your business goals, operations, and users. This system can unify hundreds of various processes into one concise format. This all-in-one tool allows you to streamline the payment process, optimize sales, and enhance logistics. It also allows you to monitor daily operations and take care of accounting. Above all, it smoothens the onboarding process.

2. Faster data migration

Transferring data from one source or tool to another is time consuming and tedious task. Implementing an end-to-end custom software solution smooths the data flow and enables easier and faster data migration from one source to another. This way, you have a complete overview of your prominent KPIs, metrics, and more within one platform. 

3. No need to overpay

One of the most important benefits of investing in an end-to-end custom software solution is its cost-effectiveness. You will have to overpay if you have multiple systems from multiple vendors. Though the initial cost of off-the-shelf may seem lower, you are expected to take care of licenses, support packages, and other expenses that increase your initial cost. 

Investing in end-to-end custom technology will cut your expenses significantly. On the flip side, you will also save money because of reduced errors, enhanced communication, improved productivity, and a simplified onboarding process. 

4. Improved efficiency 

Dealing with several vendors can lead to confusion. However, working with one vendor can help you optimize and automate your business. A custom solution can enhance overall efficiency and productivity. Minimized errors, improved security, optimized performance, and more lead to increased efficiency.

5. Grow and change along with your business needs

In business, change is inevitable. Changing an off-the-shelf software can be too expensive as you will have to buy additional licensing and add-on packages. With end-to-end custom technology, the developers can build it to scale as needed. This will allow you to keep up with the changing workflows, tasks, and integrations. 

Additionally, custom software technology allows you to easily add new technologies and solutions, thus helping you stay on top of the latest innovations. Such a solution can bring your ideas to life and meet your specific business goals and requirements. 

6. Competitive advantage

Off-the-shelf software is publicly available, and every other business uses it. How can using the same software will help you stand apart? Using the same software is like using a uniform; you cannot see the difference. To stay above the competition, you need an end-to-end custom software solution with unique features and functions configured solely for your business. 

Watch more: How your business can stay Compliant, Smart, and Reliant with Custom Software!

Not an Expense but an Investment! 

An end-to-end custom software solution will cover your basic business needs and empower your company to accomplish more. An end-to-end custom software solution is an investment rather than an expense. Fingent has worked with many leading businesses to create innovative and cost -effective custom software solutions that gained leverage and a competitive edge. We can help you too take your business to new heights! Give us a call, and let’s get started!

Custom software tackles the specific needs of users more comprehensively than traditional off-the-shelf packages. Efficiency, scalability, lower integration cost, uniquely tailored features, functions, profitability, and independence are a few of its major benefits. In simple words, custom software creates a more customer-centric approach to your business, which translates to more business.

Globalization has pressured companies to take bold steps in expanding their horizon and potential. The rapid increase in market trends, technological innovations, and increasing competitor growth has changed and raised customer expectations. Deploying custom software development solutions in your business can be a strong weapon in this vicious battle. This blog will show you why and also help you see if this might be the right time to implement it for your business.

Why Is There a Need For A Custom Software Solution?

Evolving times have made it necessary for businesses worldwide to step up to the challenge of being bold, unique, and versatile. “Be different or be forgotten” has never before been more relevant than today. Custom software gives you the tools you need to satisfy your customers.

Here are some more reasons why custom software development is the current need for businesses on a global scale:

1. High Security

Security nowadays is a prime preference provided by most companies. Getting hacked by cyberpunks is a nasty affair that not only compromises your company’s data and security but also ruins the reputation of your business. Compared to commercial off-the-shelf (COTS) Software, customized business software is better in terms of security and competence in saving data.

Mobile app formulating corporations exemplify this feature by merging features like two-way authentication and data encryption.

2. Efficiency

Custom Software is purpose-built to support unique operations and workflows promptly and productively. It refines the workflow by removing unnecessary factors and automating monotonous and tedious manual jobs. This way, it fulfills the fundamental goal of improving your company’s and its employees’ operational efficiency and productivity.

Read more: How Fingent helped Impact XM improve their marketing management capabilities and enhance their business performance with a custom software solution!

3. Scalability 

Since customized software is created based on the unique needs of a business, it can easily be modified and embellished depending on the growing needs and requirements of the company. Scalability is one of the greatest significant advantages of custom software. It allows you to construct relatable software based on your business requirements. It can also cut costs associated with purchasing extra licenses and subscriptions to commercial software.

4. Cost-Effective

COTS software generally fails to work with existing and legacy applications. Businesses must invest further to ensure the software works well with their existing infrastructure. On the contrary, custom software can be built to adapt easily to an organization’s needs and integrate with any environment. Custom cloud software development goes one step further and enables you to build cloud-native applications at a much lesser cost.

Read more: Know What’s Driving Custom Software Development Cost This 2022!

5. Independence 

Deploying custom software means freedom from the clutches of a commercial software vendor. You can avoid incessant price hikes for licensing and support. You will also remain unaffected when packaged software goes out of business, or a vendor terminates a product. With custom-developed software, you are in charge of creating and maintaining the software, which means you can update and modify it as regularly as you need.

These are just a few reasons for the increasing need for custom software solutions. It can effectively meet the demands of businesses irrespective of the company’s size. Technically progressive solutions can give you a stepping stone over opponents.

Using custom applications reports a 77% reduction in manual data entry! Learn more about why choosing custom software works over commercial off-the-shelf solutions. Scroll through our Infographic now!

Does Your Business Need Custom Software Solution Right Now? 

Now that you know the benefits of custom software, the question is: do you need to implement it right now, or can you put it off for a while? Here is a checklist of symptoms. If you tick any of these boxes, it might just be time to get that ball rolling on a custom software solution:

1. Lack Of Efficiency 

Are your employees struggling with mundane manual work? Is it resulting in delays, lower productivity, and errors?

Custom business software developed according to your requirements will empower your business to tackle these challenges by providing an all-in-one environment for employees to plan and execute the workflow, communicate effortlessly, and procure data anytime. By enabling automation and AI in the software, you will be able to eliminate the element of human error and conserve your human resources for more focused tasks.

2. Data Management Issues

Do you often struggle to access and track crucial data? Does it take ages to make sense of the data and put it to good use? Are you struggling with the threat of data leaks?

Data is probably the essential asset of any business. It is usually challenging to store, analyze and track crucial information, and keep the data secure from theft to maintain the data integrity in your industry.

A custom software solution can be built to include Business Intelligence (BI) solutions that can help you convert data into actionable insights. This will help you make intelligent data-driven decisions for your business. You can also customize security layers for your software to address the particular security risks associated with your business.

3. Low Customer Satisfaction

Have you been receiving more customer complaints lately? Are they dissatisfied with their interaction with your business?

Nobody knows your customers as you do. Integrating this knowledge into your software can be priceless in ensuring customer satisfaction. Custom software allows you to do just that. You can work with your developers to integrate insights from your customer base and market analysis and provide features that your customers will be happy with, which can lead to a seamless customer experience.

4. Business Expansion

Is your business expanding? Do you need to grow technologically?

Expansion and development are two constants in a business owner’s mind. Whether your business is expanding in terms of location, the number of employees, or customers, you unquestionably need to grow technologically.

You don’t want to add technological issues to the chaos of a quickly expanding business. Looking for new software solutions every time a component of your business grows will be a real challenge. With custom software, you can easily build on the existing software and add features as you scale.

Read more: Choosing the Right Software Development Vendor

How To Get Started?

As you can see, custom software can play an integral part in the operation and success of your business by improving productivity and increasing efficiency. It is an excellent investment in time-saving, cost-effectiveness, and risk reduction.

The first step is hiring a professional technical team to help you develop custom software. Fingent, a leading custom software development company, excels in crafting tailored software solutions for clients, perfectly aligned with their unique requirements. We can help you too.

Give us a call, and let’s discuss your requirements.

Your Financial Service business needs software solutions that fully consider all the individual features of your services.

Why?

The best financial advice must be provided in real-time and should be based on customer behavior. Their services must be original and unique for successful business development. This is what will make you different and will help you stand out from your competition and emerge a winner.

How do you achieve that?

Custom software for financial firms can solve complex challenges of business workflow. With custom software leading the way, the finance industry is seeing a significant shift in multiple areas including customer experience and business operations. 

You see, to stay competitive it is important not to cut corners when dealing with customers. To win a customer and retain his financial services, you need versatile capabilities that will help you stay customer-centric despite the rigid nature of the industry.

A financial custom software application can help financial services match customers’ high expectations while managing the company’s unique needs. They offer simplified transactions between people and enable financial institutions to create a wider customer base. 

In this article, you will find out how you can deliver services that separate you from your competition. 

Read more: Digital Transformation in Financial Services: All You Need to Know!

What Is Custom Software and Why Do You Need It Now?

Unlike off-the-shelf solutions, custom software is designed and developed exclusively for each customer’s tasks and requests. The custom software solution can be designed to handle the roadblocks specific to you. Given that, you can choose to eliminate features that your business does not need.

1. Custom software is built around your business landscape

Off-the-shelf applications are rigid and do not allow you to adapt quickly when market dynamics change. Whereas custom software can be responsive to your customer base and market advancements. 

2. Ensures robust data protection

The foundation of financial services is based on trust as it deals with private and sensitive data that demand robust protection. Custom software gives you control over the level of security you need to keep your customer’s data and your reputation uncompromised. 

Trust is a fragile thing in the finance industry. A small mistake or a performance issue can drive your clients away from you to your competition. Essentially, one mistake due to data vulnerabilities can cost your company and your customer millions. 

There are hordes of hackers looking for opportunities to steal financial data. Custom software ensures your security requirements are adjusted to keep your customers’ data secure. 

While keeping your customers’ data secure is of paramount importance, those measures should not jeopardize customer engagement. This balance can be achieved through custom software development as it allows you to create an engaging digital tool that also helps keep your data safe. 

3. Competitive advantage

Custom software is dedicated to achieving the results that you want. So, it is a strategic initiative and investment that allows you to align with your business. When you custom-build your software with a futuristic outlook, your business can outperform your competitors in the long run. 

4. Address errors in real-time

When customers encounter a bug while making a transaction, they will expect an immediate resolution. Custom software allows your team to provide a quick response without depending on scheduled maintenance. 

5. Scale up as required

The market is always in flux with changing customer demands. Responding quickly to those changes is only possible if the software is flexible and agile. Custom software can be built with the ability to scale as and when required. It allows you to add new features and integrate 3rd party services that enhance your app’s performance. The ability to scale as required can support rapid business growth.

6. Seamless customer experience

Today’s customers expect convenience, speed, and seamless experience across multiple touchpoints. Custom software can make it easy for your organization to intelligently and adequately handle any business challenge.

To become customer-centric, financial services need to integrate digital capabilities to keep up with market dynamics. It provides the technological backbone that can adapt to your organization’s growth. 

Custom software is personalized to meet customers’ business needs. With a simplified business process, and operations your customers will find it easy to use. As a result, tailored software always scores high on the customer satisfaction front. 

Read more: FinTech: Safeguarding Customer Interest In The Post Pandemic World.

7. Technologies under control

Preconfigured software does not offer much control over the choice of technologies. But custom software can make any technology more competent, sustainable, and efficient. You can tailor it to meet your expectations and deploy it into your existing business process. 

8. Exclusively yours

Each finance service is unique, and fulfilling the unique needs of the business is only possible with tailored software. This makes customized software a requirement and not an option. 

It will work exactly the way you want it to work. Instead of you adjusting your business process according to the software, custom software fits right into your business process to help you achieve your business goals. 

9. Optimized cost control

As mentioned earlier, customized software allows you to choose preferred features and functionalities based on your business priorities. 

You are at liberty to opt-out of a particular functionality if you feel it is irrelevant to your business. So, you pay only for the features and functionalities that you need. This can considerably save your technology investment costs. 

10. Real-time reporting

Finance services rely heavily on reporting. You may have to spend hours digging your way through a number of excel sheets and other files. Customizing your software can spare you that pain and save you time as it can give you a summarized report.

11. Compatible with your existing process 

You may have been using many useful tools and technologies. Creating custom software does not mean you have to revamp your entire business process. 

Conversely, since the custom development process involves consideration of the various tools that you already have, the software can be built to be compatible with your existing process.  

12. Reduced risk factor

With off-the-shelf software, your business will be highly affected if you decide not to maintain your application, or your business goes bankrupt. During such dire circumstances, you will have to either change your business process or find another vendor to develop another software. 

This can mean extra expense on your business investments. On the contrary custom software can be maintained as long as you need it to be maintained.

13. Relieves you from constant concern

Each business has its own concerns. When a custom software does its work perfectly and serves its purpose optimally, you will be relieved to focus on your core job instead of spending enormous amounts of time finding solutions to your routine business concerns.

An Essential Boost for Your Business

Custom software is the right decision for your business and within your budget. It works more efficiently and can provide your business model with the much-needed lift. 

So, take time to analyze the needs of your business and choose the right software for your business.

Give us a call and let’s discuss what that is for you.  

Old is gold … but is it? There are some things that get better with age of course, but when it comes to software, it’s a hard NO.  

Business after Covid is not the same as when you started it. So, using legacy software to run your business is like using bullock carts for transportation even when bullet trains are available. 

True, there are some systems that are hard to be replaced. On the other hand, there are some that need to be modernized or even completely scrapped. One of these is legacy software. Nevertheless, the modernization or replacement of legacy software is not always defined by its age. It might be that it is no longer relevant to the current business strategy and goals. When such software becomes difficult to maintain and improve, it is time to pivot to the platform ecosystem. 

This article discusses the benefits of pivoting your legacy software into a platform ecosystem. Before that let’s understand when and how a company should consider pivoting to the platform ecosystem.

Let’s start by understanding what a platform ecosystem is.

Read more: 5 Ways Application Modernization Enables Your Business to Grow and Reap ROI During a Pandemic

What Is Platform Ecosystem?

A platform ecosystem is a connected system of companies that share large amounts of data with a common goal. When executed well, it has a massive impact on solving societal challenges successfully establishing and launching a viable ecosystem. 

When Should a Company Consider Pivoting to AI-enabled Platform Ecosystem?

Legacy software may have been useful in the past. Today, you no longer see enough ROI. The longer you allow it to interfere with your business, the more resources you will have to devote to keep your current system functioning. 

After all, any company would expect to profit while ensuring to invest in the right places. Recognizing the obvious downsides will help you understand when and why you must pivot to the platform ecosystem. Here are three examples that increase the cost of running legacy software:

1. Maintenance cost

Overhead cost: When your legacy software needs constant patching and repairs, your overhead costs can increase exponentially. 

Human resource: If your team spends most of their time on maintenance, they will be distracted from higher-value projects that can contribute to increased ROI.

2. Cost of Integration

Integrations: You may feel tempted to look for workarounds that allow your system to work with current software and hardware. This can lead to reinventing your entire system. Essentially, you will be left with a lot of new patches on the old system that can increase your integration cost and maintenance costs. 

Equipment: You will have to retain some of the old software and hardware because of compatibility issues. Maintaining such old equipment also can increase your cost in terms of money and human resources. 

3. Cost of brand image

Customer retention: Because legacy software may become cumbersome and slow for today’s fast-paced customers, they may move on to your competition. These customers may include some of your loyal customers who lose patience. Gradually, such loss of customers will diminish your market share. 

Brand reputation: Cumbersome legacy software can change the way your existing customers and the general public view your brand. Remember, if it costs your reputation, it will cost your business!

Read more: Why modernize your legacy systems. What is the best approach?

Steps to Pivot Your Legacy Software

Steps to pivot legacy software to a platform ecosystem vary from business to business. But there are common threads in how they can approach this journey. The companies wishing to grow with AI-enabled platforms must carefully assess and plan the transition. Doing so will ensure long-term success.

1. Assess and document your current software

Analyze and document how your current software fails to meet your business needs. Such analysis will help you understand what you need. 

Create a journey map to visualize the UX and CX of your legacy system. Find out how your partners, customers, and stakeholders are using your current system. 

This is a preliminary step so do not rush through your assessment. A thorough review now can provide you with a clearer picture of your journey and save you much time and resources during the journey. 

2. Find out the right strategy for your organization

Some of the strategies you could consider are replace, rebuild, rehost, and re-platform. The right strategy depends on various factors including the expected ROI, the timeline, and more. It is important to get your stakeholders involved in this step. 

3. Access to partners’ data

Access to partners’ data plays a huge part in driving value. Ensure to include access to partners’ data. Also, ensure this relationship comes with the ability to use AI models like customer matches and recommendations. 

4. Create an interface and a timeline

Ecosystem partners need access to AI data and decisions. This is made possible by creating an API architecture. API network allows providers to interface with the company. 

When mapping out your journey, factor in the time you will need to locate any other resources and the current projects your team is working on. 

5. Identify and gather

Most decisions are made by AI. Hence, Identify the key decisions that you would want AI to make and then use that data to train the models.

6. Design and implement a smooth process

The frictionless platform model can simplify the process for your customers.  Work with your partners to design and implement a seamless process that meets your customer needs. 

7. Data is power use it wisely

The machine learning process will continue to improve as they make decisions, and they will get better at predicting or recommending. Retrain them as soon as you source new data. You can also train them when you notice that they are not doing their job very effectively. 

8. Begin implementing your project plan

Once you start implementing your project plan, ensure to keep all lines of communication open and clear. Sharing information across the team about changes will help prevent problems.

Advantages Of Pivoting to Platform Ecosystem

The primary value of the platform is to grow your business. It is also useful for gathering data to train AI models. Each new member of the ecosystem provides more value to the network and more data. As result, you will have better AI models. 

Data powers AI-enabled decisions in order to quickly and efficiently process claims for your customer. In a platform ecosystem, companies work together towards a common goal. They create value for each other and their customers.  Clearly, new technology delivers a bigger return than keeping the existing software. At Fingent, we work with our clients to make this transformation smooth and seamless. 

Give us a call and allow us to help you effortlessly pivot your legacy software into a platform ecosystem.

The popularity of edge computing and artificial intelligence (AI) has risen in recent years due to the widespread adoption of mobile technology and the Internet of Things (IoT) by various industries. The Linux Foundation’s State of the Edge Report 2021 predicts that the global market capitalization of edge computing infrastructure would reach $800 billion by 2028. If edge computing garners a wider attention span, the number of enterprises investing in AI is also growing year over year. According to the State of AI 2021 Report, the global AI funding witnessed a whopping 108% increase in 2021. More than 54% of the organizations surveyed by McKinsey in 2021 said that they have adopted AI in at least one function. 

Individually, both AI and edge computing help businesses in incredible ways and hold immense potential for future development. Many forward-looking organizations are investing in these two technologies as part of their digital transformation journey. “Two heads are better than one”, goes the saying. True to this, many enterprises and technology champions are discovering new opportunities by combining edge computing and AI, or Edge AI. In this blog, we’ll see how edge computing and AI are being put to work together and discuss some use cases that will take AI applications to the edge.   

Read more: Future-proof your business with 5G, edge computing and cloud

What is Edge Computing?

Edge computing refers to a distributed computing framework that brings the deployment of computing and storage resources closer to the data sources, such as local edge servers or IoT devices. By bringing enterprise applications closer to the data sources, edge computing offers a multitude of business benefits; including faster data processing and insights generation, better response times, and enhanced bandwidth availability.  

In edge computing, all your device-generated data is processed and analyzed close to the source where it’s created. By preventing your data from traveling over a network to a centralized or cloud data center, edge computing reduces latency and improves bandwidth availability. 

Example: Electric vehicles (EVs) leverage edge computing for data aggregation and insights generation, which help optimize charging stations and monitor the health of EV batteries.  

Read more: 9 examples of artificial intelligence transforming business today

What is AI?

Artificial Intelligence or AI refers to machine intelligence, where a computer-controlled (software-programmed) machine simulates human intelligence to perceive its environment and take corresponding actions that help the machine achieve its goals. AI uses machine learning and deep learning techniques to churn robust input datasets (labeled training data) and enable rapid problem-solving. 

The content recommendation systems used by Amazon, Netflix, or YouTube and Google’s advanced web search engine are some of the leading examples of AI today. The growth of artificial neural networks and deep learning technologies enable AI systems to process massive amounts of data at an incredible pace and predict future states with exceptional accuracy.     

AI-powered applications command a larger share in today’s enterprise landscape. AI helps banks, insurance companies, and financial institutions with fraud detection. AI is being used by conversational bots to enhance customer service. Smart assistants like Siri and Alexa leverage AI to improve customer experience. Hospitals and healthcare providers use AI-embedded applications for making clinical decisions and delivering remote patient care. 

Case Study: MUSA, Fingent’s AI-powered virtual assistant minimizes day-to-day workplaces struggles related to PeopleOps and DevOps. Read Now! 

Edge AI: The Next Wave of Enterprise Digital Transformation

AI applications give the intended results by relying on seamless data transmission and computation of complex ML algorithms. Edge computing helps move AI systems close to the source where the data is generated. When AI computation is done at the edge of the network, next to the data source, it gives more accurate and desired results. This process has given rise to a new computing paradigm: Edge AI.

In edge AI, both data generation and computation take place at the network’s edge, instead of sending and processing data in a faraway cloud computing center. Here, “edge” of the network could connote anything – mobile devices, retail stores, factories, hospitals, medical equipment, traffic lights, autonomous vehicles, and so on. 

Read more: Quantum vs. Neuromorphic Computing: What Will the Future of AI Look Like? 

Here’s how your business can benefit from the adoption of edge AI: 

1. Low-power, offline capabilities

Traditional AI applications require enormous amount of processing and computational power to operate some of the complex ML algorithms. Distance from the cloud servers often affects the deployment of AI systems in remote locations. Edge computing helps overcome this challenge as the technology is designed to operate in low-power, offline environment. For instance, blockchain and smart contracts that rely on decentralized ledger technology (requiring no central broker or mediator) can independently run on computation-heavy AI algorithms within the edge devices.

2. Faster computing and real-time insights

Edge AI enables your applications to respond to users’ requirements in real-time. This is because edge computing analyzes data locally, close to the source where it’s generated, instead of a remote cloud data center, which usually delays responses due to long-distance communications. 

3. Better data security

If AI ensures the privacy of data that needs to be analyzed by securing if from getting exposed to cyber miscreants, edge AI adds an additional layer of privacy by containing that data locally. Edge AI uploads only the insights and analysis to the cloud and even anonymizes the data uploaded for training purposes to protect user identities. Thus, edge AI enables businesses to ensure data regulatory compliance. 

4. Constant improvement

AI models can improve their accuracy when they get access to more training data. When an edge AI application confronts data that it is unable of processing, the application will upload the data so that it can retrain and learn from it. Since the new data set is captured right at the production edge (without any transmission delays), the edge AI application will quickly learn from the new data, ensuring constant improvement through learning.   

5. Cost reduction

Offline capabilities and decentralization enable Edge AI to process data without larger internet bandwidths. This reduces your networking costs significantly. Enhanced performance of AI-enabled applications keeps your operating costs down. 

Potential Use Cases of Edge AI

The rapid growth of intelligent applications and the increasing enterprise workloads on cloud are driving the adoption of edge AI. The edge AI software market is estimated to be worth $1,835 million by 2026, states a recent study. The amalgamation of edge computing and AI has led to many breakthrough advancements in recent years. Here’re a few potential uses cases of edge AI:

Healthcare

AI-powered medical devices and instruments at the edge deliver on-demand insights for clinicians to make crucial and faster decisions about patients. During surgical procedures, surgeons can rely on the ultra-low latency surgical videos streamed into AI-powered medical data processing applications to quickly detect abnormalities and identify chances of excessive bleeding. Devices out of the operating room, such as CT and MRI imaging scanners, DNA sequencers, cryo-electron microscopy, and other life science instruments also benefit from edge AI. 

Energy and utilities

Edge AI models can leverage past insights, weather patterns, grid conditions, and other crucial meteorological information to create advanced simulations that help define new ways to improve the generation, distribution, and management of energy resources. This facilitates intelligent forecasting in the energy sector, which helps prevent discontinuous power and energy supply affecting the day-to-day lives of people.  

Manufacturing

Edge AI applications can collect data from sensor-enabled devices installed across the factory floor and process the same in real-time, with ultra-low latency. This advantage gives rise to new use cases in manufacturing and distribution, where real-time and rapid data processing is required. Examples include detecting workplace hazards, finding product defects in assembly lines, flagging machines that require attention or human intervention, and more.  

The list of edge AI use cases keeps growing every day. Smart virtual assistants, voice commands that replace text-based searches, autonomous vehicles, self-driving cars, video surveillance, motion detectors, and industrial IoT security are a few typical use cases that could be enhanced through the integration of edge AI. Fingent helps build faster, reliable, and cost-effective enterprise applications powered by edge and AI.

Are you ready to explore the possibilities of Edge AI in your business operations? Contact us today!