Top Technologies Used to Develop Mobile App
If you’re a business with an expanding online retail footprint, your hard work actually begins once a customer places an order. Each new order triggers a multifarious chain reaction, right from confirming the order through payment acceptance to picking, packing, and finally shipping the consignment to the right location. As digital shopping becomes the primary buying method today, it’s important for brands to simplify online ordering for their customers.
How can you make your order processing and fulfillment smooth enough for both your customers and employees?
If you’re a small business, you might be able to handle your orders with basic pre-packaged software. But as your business grows, you need a customized order management system to fulfill the orders gushing in. With a custom order processing software, your business can bring the best of both worlds, that is, streamline your order processing and fulfillment and simplify order placement for your customers.
View Infographic: Custom Software vs. Commercial Off-the-shelf Solutions
Order management refers to the set of processes used by an organization to track, manage, and fulfill an order, right from the time when it (order) is placed by a customer to when it is safely delivered at the right destination.
Order management systems are software tools used to monitor the end-to-end customer order journey. With order management software, you can organize and automate processes, keep track of your merchandise, control the delivery process, and ensure that your customer receives the right order at the right time in a good condition.
Say you’re running an online medical procurement store. A clinic places an order with you for disposable saliva ejectors. Your order management software checks if the payment was successful, send the order details to your warehouse, tracks the order form when it is being picked, packed, and shipped, and finally ensures that the saliva ejectors were delivered properly.
Modern order management systems are capable of going beyond delivery and order fulfillment. They can record customer service actions, track returns or exchanges, prevent shipping errors and processing delays, and save profits by reducing refunds and reshipping costs. By collecting vital metrics that define your success and efficiency, your business can identify what’s working and what needs to be improved.
Investing in an off-the-shelf order processing system is enough if you’re content with your business’s status quo. But it wouldn’t suffice if you’re thinking of expanding your business. Offering personalization is the only way to make yourself stand out from the competition and attract more customers. That means, making some serious changes to your existing workflow. When you try to alter your current workflow to incorporate personalization, your canned software offers limited ways to do it successfully. This is where a custom software solution comes to your rescue.
Watch Video: Why Your Business Requires Custom Software
Custom order management software allows you to configure the workflows required to meet your specific business needs. If off-the-shelf software provides you with 80% of the functionality, custom software allows you to tailor the remaining 20% (or even more) to enhance your workflows and make your business future-proof.
We’ve done it in the past and we’re doing it now as well!
We’ve simplified what was once considered complex order processing, with custom-built ordering software that lets customers place orders quickly and allows businesses to track every order with improved efficiency and sophistication. Here’re a few inspiring stories.
Texas-based Cheetah Transportation Systems leveraged Fingent’s custom software development services to implement a personalized transportation management system. The new system allows Cheetah’s customers to view their order status in real-time and access up-to-date shipping data. With a customized software solution, Cheetah re-imagined their logistics and supply chain operations:
Another pretty interesting digital transformation story is that of AEC Advisors. The New York-based investment banking and corporate finance advisory firm experienced a business transformation with a customized survey management cum analytics and reporting software developed by Fingent.
A custom order management application for a manufacturer who builds customized sheds for growing families needing more space! That’s the story of Lakeside Cabins, headquartered in Ohio. The manufacturer wanted us to build an in-house software customized to support the different stages of their building processes. Fingent created a personalized, flexible, easy-to-maintain, and scalable order management software with the following features:
Interested to explore similar success stories? Click here to read our top case studies.
A customized order management software offers the best features your business would actually require. Collaborate with the right software development partner to identify your unique business needs. Avoiding unwanted features helps you get cost-effective custom software within a shorter development cycle.
Your customers may want to split orders and deliver them to multiple addresses. Using an off-the-shelf software to split your shipments will increase your fulfillment costs due to longer development cycles. A customized order processing software offers the flexibility to split consignments, choose multiple payment modes for a single order, and a horde of other capabilities that will enable you to deliver an Amazon-like experience to your customers.
Read more: Custom software solutions – the ideal way to build business apps
Most off-the-shelf software don’t offer flexibility in integration, making you spend more on missing software integrations. In contrast, custom order processing software offers makes it easy to integrate with necessary third-party ware that can improve the accuracy of your order fulfillment process. Fingent develops powerful APIs and plugins that support seamless integration of third-party tools with your custom software.
When your custom order management software does the heavy-lifting by automating invoicing, billing, banking integration, payment, and stock management, you can focus on improving your customer service. Automating mind-numbing operations will allow you to keep your order processing tasks much more organized and easier.
Most pre-packaged order management solutions offer functionalities that your business doesn’t require and demand you to pay extra for useful features. A custom software solution is designed and developed after defining your objectives clearly. So you end up paying only for the features you use.
Read more: Know What’s Driving Custom Software Development Costs in 2022
When you’re in complete control of your order management system, you will attain better visibility, productivity, and cost control. Custom software befits businesses of any size- small or large, as it can save your costs and support your long-term growth plans. Whether your requirement is to develop a custom inventory/ order/ warehouse/ transportation management software, our developers have considerable experience in handling anything that comes our way.
Read more: How to Choose the Right Custom Software Development Firm
Our core experience in developing B2B e-commerce applications, customized product ordering systems, tailored self-service payment portals, and an array of bespoke software solutions makes us a trusted software development partner to hundreds of organizations worldwide, including Fortune 500 companies.
If you want to learn more about custom software or would like to know how it can improve your bottom line, get in touch with us.
If you’re a business with an expanding online retail footprint, your hard work actually begins once a customer places an order. Each new order triggers a multifarious chain reaction, right from confirming the order through payment acceptance to picking, packing, and finally shipping the consignment to the right location. As digital shopping becomes the primary buying method today, it’s important for brands to simplify online ordering for their customers.
How can you make your order processing and fulfillment smooth enough for both your customers and employees?
If you’re a small business, you might be able to handle your orders with basic pre-packaged software. But as your business grows, you need a customized order management system to fulfill the orders gushing in. With a custom order processing software, your business can bring the best of both worlds, that is, streamline your order processing and fulfillment and simplify order placement for your customers.
View Infographic: Custom Software vs. Commercial Off-the-shelf Solutions
Order management refers to the set of processes used by an organization to track, manage, and fulfill an order, right from the time when it (order) is placed by a customer to when it is safely delivered at the right destination.
Order management systems are software tools used to monitor the end-to-end customer order journey. With order management software, you can organize and automate processes, keep track of your merchandise, control the delivery process, and ensure that your customer receives the right order at the right time in a good condition.
Say you’re running an online medical procurement store. A clinic places an order with you for disposable saliva ejectors. Your order management software checks if the payment was successful, send the order details to your warehouse, tracks the order form when it is being picked, packed, and shipped, and finally ensures that the saliva ejectors were delivered properly.
Modern order management systems are capable of going beyond delivery and order fulfillment. They can record customer service actions, track returns or exchanges, prevent shipping errors and processing delays, and save profits by reducing refunds and reshipping costs. By collecting vital metrics that define your success and efficiency, your business can identify what’s working and what needs to be improved.
Investing in an off-the-shelf order processing system is enough if you’re content with your business’s status quo. But it wouldn’t suffice if you’re thinking of expanding your business. Offering personalization is the only way to make yourself stand out from the competition and attract more customers. That means, making some serious changes to your existing workflow. When you try to alter your current workflow to incorporate personalization, your canned software offers limited ways to do it successfully. This is where a custom software solution comes to your rescue.
Watch Video: Why Your Business Requires Custom Software
Custom order management software allows you to configure the workflows required to meet your specific business needs. If off-the-shelf software provides you with 80% of the functionality, custom software allows you to tailor the remaining 20% (or even more) to enhance your workflows and make your business future-proof.
We’ve done it in the past and we’re doing it now as well!
We’ve simplified what was once considered complex order processing, with custom-built ordering software that lets customers place orders quickly and allows businesses to track every order with improved efficiency and sophistication. Here’re a few inspiring stories.
Texas-based Cheetah Transportation Systems leveraged Fingent’s custom software development services to implement a personalized transportation management system. The new system allows Cheetah’s customers to view their order status in real-time and access up-to-date shipping data. With a customized software solution, Cheetah re-imagined their logistics and supply chain operations:
Another pretty interesting digital transformation story is that of AEC Advisors. The New York-based investment banking and corporate finance advisory firm experienced a business transformation with a customized survey management cum analytics and reporting software developed by Fingent.
A custom order management application for a manufacturer who builds customized sheds for growing families needing more space! That’s the story of Lakeside Cabins, headquartered in Ohio. The manufacturer wanted us to build an in-house software customized to support the different stages of their building processes. Fingent created a personalized, flexible, easy-to-maintain, and scalable order management software with the following features:
Interested to explore similar success stories? Click here to read our top case studies.
A customized order management software offers the best features your business would actually require. Collaborate with the right software development partner to identify your unique business needs. Avoiding unwanted features helps you get cost-effective custom software within a shorter development cycle.
Your customers may want to split orders and deliver them to multiple addresses. Using an off-the-shelf software to split your shipments will increase your fulfillment costs due to longer development cycles. A customized order processing software offers the flexibility to split consignments, choose multiple payment modes for a single order, and a horde of other capabilities that will enable you to deliver an Amazon-like experience to your customers.
Read more: Custom software solutions – the ideal way to build business apps
Most off-the-shelf software don’t offer flexibility in integration, making you spend more on missing software integrations. In contrast, custom order processing software offers makes it easy to integrate with necessary third-party ware that can improve the accuracy of your order fulfillment process. Fingent develops powerful APIs and plugins that support seamless integration of third-party tools with your custom software.
When your custom order management software does the heavy-lifting by automating invoicing, billing, banking integration, payment, and stock management, you can focus on improving your customer service. Automating mind-numbing operations will allow you to keep your order processing tasks much more organized and easier.
Most pre-packaged order management solutions offer functionalities that your business doesn’t require and demand you to pay extra for useful features. A custom software solution is designed and developed after defining your objectives clearly. So you end up paying only for the features you use.
Read more: Know What’s Driving Custom Software Development Costs in 2022
When you’re in complete control of your order management system, you will attain better visibility, productivity, and cost control. Custom software befits businesses of any size- small or large, as it can save your costs and support your long-term growth plans. Whether your requirement is to develop a custom inventory/ order/ warehouse/ transportation management software, our developers have considerable experience in handling anything that comes our way.
Read more: How to Choose the Right Custom Software Development Firm
Our core experience in developing B2B e-commerce applications, customized product ordering systems, tailored self-service payment portals, and an array of bespoke software solutions makes us a trusted software development partner to hundreds of organizations worldwide, including Fortune 500 companies.
If you want to learn more about custom software or would like to know how it can improve your bottom line, get in touch with us.
Every small business requires an array of software to run its operations smoothly and successfully. When starting a new business, it may seem like your off-the-shelf software would suffice all your needs. As your business grows, your business management software should scale to meet your team’s evolving needs, boost the efficiency of your workflows, and be flexible to support new use cases. Custom software or a software application tailor-made to address your specific business requirements helps improve your market competency and realize ROI at a faster pace.
How will you determine if custom software is the right fit for your small business?
Read on this post to learn more about custom software for small businesses.
Read more: 5 Reasons Why Custom Software is Important for Your Business
The classic “build vs. buy” decision is a pertinent question that every small business faces when addressing their software needs. Considering the cost, time, energy, and resources dedicated to custom software development, many SMEs adopt packaged software in a haste. Look out for these warning signs before deciding whether to build or buy.
Find out if your employees are satisfied with your existing off-the-shelf software. Do they still stick to old-school tricks or find manual methods faster and more convenient? Are your employees forced to discover alternative workarounds to use the software? Do they still rely on spreadsheets and how-to guides for using the software? All these signs indicate that your off-the-shelf software lacks employee approval and can fail your business eventually.
Rolling out enterprise-wide canned software that commands an advanced level of technical expertise will inflict more harm. It will complicate the processes for your employees and incur heavy training costs. Complex shelf software will fail the very purpose of technological innovation, that is, to simplify human efforts. If only less than 20% of your employees find the software workable, it’s better to build a customized solution.
View Infographic: Custom Software vs. Commercial Off-the-shelf Solutions
Is your software forcing your employees to spend their valuable time on routine activities that don’t require human thought and creativity? If your software isn’t allowing you to leverage the potential of automation, it can minimize your employees’ productivity and workplace efficiency. Automation of mundane tasks with minimal or adequate supervision is a must for small business growth and success.
Adapting a rigid off-the-shelf solution for your small business needs requires you to subscribe to third-party apps and pay multiple licensing fees. Most biz owners end up paying full price for unwanted features. Some companies would want to integrate estranged business applications to increase the usability of their shelf software. All these challenges lead to increased software spending.
Your business data comes from multiple sources such as your website, emails, social profiles, chat, and conversation histories, helpdesk, and so on. How far is your canned software allowing you to make use of this data? Are your decisions driven by live data? If your dashboards aren’t getting updated in real-time and reports throw only past information, it’s time to consider custom software. Integrating multiple business systems and exporting all the useful data insights onto a centralized, user-friendly platform in real-time will empower small businesses to make rightful decisions.
Watch Video: Why Your Business Requires Custom Software
Small business competition has intensified in recent years. Thanks to the increasing democratization of digital innovation! Access to technological advancements is no longer limited to large enterprises. With a custom-built software, your small business can stay relevant and competitive.
Custom software development guarantees 100% alignment with specific business needs. You can rest assured that no crucial operations are left unsupported and there aren’t any wasted features. Share your unique requirements with a trusted custom software development company like Fingent and get exactly the features you would require on a long-term.
Ready-to-use software is highly vulnerable to cyberattacks due to the widespread availability of code and proliferation of users. Owning custom code places your small business under lock and key and keeps your sensitive information hack-proof. Customized solutions offer built-in security with a specialized approach to development. Better compliance and data governance improves your organization’s reputation and trust.
Attaining profitability amid stiff competition needs your employees to put in their best performance. Experienced custom software companies like Fingent can help you identify the workflows or business functions that can be improved with the right technology. This makes your business more efficient and maximizes the productivity of your employees.
Improved business efficiency transforms to lower operational costs. Technologies like automation enable your employees to complete more tasks in less time, without feeling monotonous. Custom software actually costs lesser than off-the-shelf solutions, considering the extra dollars you would spend on subscriptions, licenses, third-party integrations, software upgrades and maintenance, and other overheads required to make the shelf software workable.
Read more: Know What’s Driving Custom Software Development Costs in 2022
Modern business might come to a standstill if technology stops working. A typical readymade software provider puts you into a long wait with back-to-back support tickets and repeated calls, whereas a dedicated custom software development partner offers access to a direct line of technical support to resolve your issues immediately.
Read more: The Dos and Don’ts of Custom Software Development
Hiring the services of an experienced custom software development agency will help you focus on developing a sustainable business model. How can you identify the right software development partner for your small business? Here’re a few tips we recommend:
Selecting the right custom software development partner is a meticulous job. Check out our earlier post covering these and more crucial tips in detail.
Also read: How to Choose the Right Custom Software Development Firm
Over the past two decades, Fingent has been serving as a reliable and capable tech partner for many leading global brands, including Fortune 500 companies. With an impeccable track record as a successful custom software development partner, we’ve helped improve cash flow and business efficiency for many clients. If hiring in-house developers is costing you a fortune, extend your development team with our dedicated talent pool at reasonable rates.
Read more: Top Benefits of Outsourcing Software Development Services
We’re in track of the latest tech development trends and help our clients explore new and emerging tech such as Augmented Reality (AR), Virtual Reality (VR), Internet of Things (IoT), 3D Web Configurator, Robotic Process Automation (RPA), Artificial Intelligence (AI), and so on. If you’re an aspiring small biz owner trying to make the most of technology without burning a deep hole in your pocket, connect with our team and get started. Let’s help you build scalable and robust small business software.
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.
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!
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.
Conversational AI technology has substantial benefits for businesses across industries. Here are the most important benefits:
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.
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
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.
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.
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.
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.
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.
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.
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.
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.
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
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.
Give us a call, get your business set up with Conversational AI, and get set to reap the rewards.
Data is the very foundation of insurance operations. Until the introduction of modern data analytics technologies, insurers used to make decisions based on the insights garnered from historical data. The advent of cloud computing, the divergence of data sources, the instrumentation of datasets, and the availability of real-time data have fundamentally transformed the way insurance operates today. Modern insurance carriers seek innovative methods to visualize and contextualize data from both physical and digital assets. With digital twins, insurance leaders can make the most of data, assess their readiness to face disasters, prevent damages before they occur, and optimize core insurance operations. This post explores why digital twins are vital for insurance companies in the future.
Read more: Is Digital Twin Promising A New Era for Healthcare?
Digital twins are computerized models or virtual replicas (simulations) of physical objects such as devices, assets, products, or processes. The biggest advantage of digital twins is that they operate in real-time, taking cues from updated data. This holds immense potential for the insurance industry, which heavily relies on data insights to make critical business decisions. Digital twins leverage connected technologies (IoT, sensors, real-time data monitoring systems) to help insurers define new policies or packages, mitigate risks, reduce administration costs, and enhance core insurance operations such as underwriting, claims processing, new policy creation, fraud detection, customer assets evaluation, etc. They also allow insurance companies to prevent unplanned downtimes and discover new growth opportunities.
These stats prove why digital twins are important for insurance companies going forward:
Digital twins can act as a virtual insurance lab for executives to predict and evaluate any risk scenario and make smart decisions. With digital twins, Insurance is moving to Assurance, a new business model that saves huge compensations from being paid off by averting losses before they occur. Let’s consider the example of a cargo vessel that is ferrying goods from one port to another. Telematics is alerting the vessel’s crew that the ship will soon be exposed to a sea storm. The vessel’s digital twin can collect data from the entire ship’s systems and assess how the storm will impact the vessel. This enables the captain to quickly turn their route and reach the safest port nearby. This is a classic example of how digital twins help upgrade insurance into assurance.
Digital twins transform five core areas of insurance operations:
Underwriting refers to the process of pricing risks based on risk assessment. With real-time streaming of data and virtual simulations, underwriters can gain a better understanding of pricing risks based on different scenarios. Digital twins allow insurers to analyze more heterogeneous datasets within a short span of time, such as cases of heart attacks, house fires, vehicle mishaps, earthquakes, floods, and other catastrophic incidents that don’t occur frequently. This enables underwriters to fix more competitive premiums. Commercial line insurers can leverage digital twins to process workers’ compensation claims more effectively, reduce premium audits, and customize premiums to match the changing workforce.
By creating virtual replicas of customer habits, insured assets, and external events affecting customers’ assets and decisions, insurers can gain a more comprehensive view of the volatile market. Digital twins can simulate consumer behavior patterns based on their online activities, shopping data, and search habits. This allows insurance executives to understand customer journeys and practice context-relevant selling across the omnichannel spectrum. Insurers can also push one-click purchases across different customer touchpoints to boost distribution. The more you know about the customer, the better you can provide personalization. With online simulations and near-real visualizations, insurers can improve cross-selling and upselling.
Digital twins help fast-track claims processing by reproducing the scenarios or circumstances behind the appeals, such as conditions of damage, car accidents, fire breakouts, etc. Claim adjusters can leverage digital twins to simulate accidents and assess their impact on the claimant’s property or other valuable possessions. This avoids the need for expert examination and helps precisely determine the insurance company’s liability. To prevent unwanted delays in claims processing, executives can compare the virtual and physical records of an accident or a house fire. Thus, digital twins in claims processing allow insurers to respond quickly to their customers.
Like HR, Finance, Procurement, Inventory, and other corporate functions that can be augmented with automation, several back-office operations in insurance companies can be improved using digital twins. It’s possible to create the virtual simulation of a blockchain-based smart contract prior to implementing the actual contract. Insurance carriers, customers, claim adjusters, and relevant policy stakeholders can explore how the smart contract would work in real-life and ascertain how secure the contract would be. While blockchain ensures transparency and trusted execution of smart contracts, digital twin stores and evaluates the insurance data in real-time. This helps avoid any legal disputes and complications in the future.
Read more: How Blockchain enables the insurance industry to tackle challenges
FBI reports that in the United States, the total cost of non-health insurance fraud alone accounts for USD 40 billion per year. The rising insurance fraud costs force carriers to increase their premiums, which has a direct bearing on many American families who will have to pay higher premiums every year. Thanks to digital twins, it’s now possible to reproduce an event that resulted in a catastrophe or damage. Claim adjusters can determine the claim’s accuracy by comparing the applicant’s data with the simulated version of the incident. As a result, inconsistent claims can be detected quickly to reduce the carrier’s liability and save costs.
Leading reinsurer Swiss Re has partnered with Microsoft to establish a Digital Market Center for building “risk digital twins” – a virtual world that leverages AI and big data to create simulations expounding different risk scenarios. Swiss Re uses this knowledge to forecast supply chain risks, disasters, and other financial exposes. It allows insurers, business owners, and end consumers to make cost-effective and timely interventions.
Read more: Transforming Insurance with AI
Piprate, an Irish Insurtech startup joined the Digital Twin Consortium in 2020 to promote the potential of digital twin technology in the insurance industry. Piprate builds digital twins of insurance risks to solve the industry’s predicaments related to vital financial data acquisition and data sharing.
AI Journal reports that the insurers who participated in their pilot study titled “Digital Twins of Risk AI” (a UK grant-funded project) were able to gain a 360-degree view of risk in real-time across 100% of their portfolios.
To face the disruption and navigate the uncertainty triggered by the COVID-19 pandemic, insurers need to evolve from self-contained businesses to strategic players in a partnership ecosystem. Besides streamlining data from discrete devices, digital twins offer a valuable source of intelligence for insurers. Following the unpredictable times ahead, insurance leaders will have to rethink their long-term plans and gain the ability to amend packages and make interventions in real-time. Fingent enables insurance leaders to prepare for a more agile and intelligent future by leveraging digital twins and other leading insurance technologies.
Get in touch with us to know more!
Reinventing. Transforming. Scaling – that is what Cloud Native can mean for businesses today!
Cloud-Native can help businesses achieve phenomenal success and improve their ability to deliver more features faster to their customers. It can bring in a major competitive advantage.
This technology increases the velocity of the business and the method to structure their teams to take advantage of automation and scalability.
Are you a business that is starting a digital transformation journey? Or are you wondering what Cloud Native is and why you need it?
This blog describes the advantages of Cloud Native capabilities to speed up your productivity and increase your company’s innovation output. It also discusses upcoming trends to look for.
Read more: Unlocking Opportunities with Cloud Continuum!
Most organizations today are in the midst of a massive data transformation to out-innovate their rivals. The Cloud Native approach allows organizations to build modern applications by leveraging its benefits based on the pay-as-you-go pricing model.
Here is how moving to a Cloud-Native approach improves your business agility:
Moving to the Cloud Native approach enables developers to build apps that function like building blocks that can be used later for other projects. It makes it easier for developers to access and reuse components created for earlier projects.
How does this improve business agility?
Two types of customers are affected by the Cloud Native approach – external customers (those who purchase from you) and internal customers (those development teams).
Downtime can be detrimental to a business’s survival. However, Cloud Native offers a remedy to this. Moving to Cloud-Native keeps operations lean enough to survive whatever turn the market takes.
It also improves business continuity and aids in disaster recovery as it reduces downtime and increases resource availability. It allows employees to work from any location and enables integrated and automated backups. It can also unify processes on a single interface and improve visibility.
Cloud-Native is a significant means of spotting an opportunity a moment before a competitor. It provides businesses the ability to respond in hours to sudden changes in the market.
Cloud-Native apps are ideal instruments in turbulent or hypercompetitive markets. Whether a business needs new ways to connect with customers or is undergoing digital transformations, Cloud Native apps enable them to take advantage of sudden opportunities in the market.
Read more: Cloud-Native Application Development: How It’s Powering App Delivery
Here are the most relevant Cloud-Native trends businesses can watch out for:
Serverless computing is a next-gen technology that ensures agility, cost-effectiveness, and scalability. Essentially, it is a new way of running applications and services that enables developers to focus on building customer-centric applications and optimizing application design.
The operational cost of serverless computing is much lower as it enables IT and development teams to work together. It allows them to share the responsibility of developing and maintaining a product.
Another noteworthy trend is the adoption of distributed cloud. It is a method that combines the benefits of the public cloud with an organization’s ability to maintain governance of the infrastructure.
Distributed cloud or Multicloud allows businesses to use the infrastructure of multiple cloud providers simultaneously. You can leave IT management to the providers by deciding the location of the individual services and data archives.
In the future, businesses will have to free themselves from the rigid divisional barriers that are not compatible with the flexibility of organizations.
A composable application will allow for a more modern software design and organization model. This will allow businesses to quickly create and dispose of the features that are according to the specific business needs.
The ability to perform multiple business operations with minimum dependency on the technology team is key to business growth and sustainability.
Using Kubernetes, organizations can create flexible solutions that extensively use low-code or no-code tools. Given that, the non-technical team is free to focus on their roles without specific programming skills.
Read more: A Comprehensive Guide To Modern Cloud Application Development
The Cloud Native approach proposes a truly effective model and makes business innovation through the integration of applications.
To embrace the benefits of the cloud, be ready to embrace changes within your entire project lifecycle. In other words, adopting Cloud Native applications means being ready to welcome future developments in cloud services.
It means opening the doors to opportunities for the future digital business. The cloud-native approach not only helps business innovate faster but help them react to marketplace events with more agility. Wondering how to make this happen for your business?
Let’s have a chat!
The COVID-19 pandemic has accentuated the need for resilient supply chains and human-machine collaboration at work. Full or partial shutdowns, as well as social distancing regulations, impose factories and workspaces to operate with the minimal onsite crew. Despite labor shortages, supply chain disruptions, and other production challenges, manufacturers are under constant pressure to respond to the evolving market needs. The demands for mass customization, quality expectations, faster product cycles, and product variability are at an all-time high. Tackling these persistent challenges requires combining human skill and ingenuity with the strength and speed of robots. To bring the best of both worlds – human creativity and robotic precision – manufacturers should adopt cobots (collaborative robots) that can reduce human interaction in feasible situations and accelerate production cycles.
Cobots allow manufacturers to maximize production and address the changing demands while ensuring the safety of their employees, clients, and partners. Why are cobots the future of manufacturing? How do they help build manufacturing resilience? Let’s explore further in this blog.
Read more: What are cobots and how can they benefit industries
Collaborative robots or cobots are designed to safely work alongside humans in tedious, dull, and hazardous environments. Unlike the traditional industrial robots that work in fenced premises to avoid close proximity with people, cobots operate in a shared workspace alongside human labor. For instance, a robot that helps humans sort foam chips in a lab is a cobot, while a robot welding a sharp cutting tool in a restricted factory area is a typical industrial robot.
Conventional industrial robots have long enabled manufacturers to leverage automation and compensate for labor shortages, but they are typically designed to execute one specific task. Moreover, they lack the cognitive capabilities possessed by humans to reprogram their operations based on new circumstances. In contrast, cobots don’t require heavy, pre-programmed actuators to drive them. Cobot motions are steered by computer-controlled manipulators, such as robotic arms, which are supervised by humans. Thus, cobots facilitate effective human-machine collaboration at work.
Cobots can be programmed to perform a wide range of tasks in a factory setting such as handling materials, assembling items, palletizing, packaging, and labeling, inspecting product quality, welding, press-fitting, driving screws and nuts, and tending machines. While cobots attend these mind-numbing jobs, human workers can focus on tasks that require immense resourcefulness and reasoning.
Read more: Digital Transformation in Manufacturing
Modern manufacturing requires effective human-machine collaboration to cut expenses, reduce time-to-market, and address growing customer demands. Here’s how cobots empower manufacturing enterprises.
1. Easy to Deploy and Program
It takes days and weeks to install and program a traditional industrial robot. A cobot, on the other hand, can be set up in less than an hour. They are lighter than conventional robots. With user-friendly mobile applications and customized software, you can swiftly program the cobot to get started. Right software configurations enable cobots to learn new actions, without any specialized training. Using intuitive 3D visualizations or simple graphical representations, you can move the robot arm to preferred waypoints. Your employees can focus on more critical tasks while the cobot takes care of mundane jobs.
2. Flexible to Perform Different Tasks
Cobots can be easily shifted from one workstation to another due to their flexible hardware. With minimal software customizations, cobots can be re-deployed or repurposed to perform different functions across various departments. For example, a cobot that performs picking and packing can be re-programmed as a filler by replacing its robotic arm with a tube and nozzle.
Read more: Challenges, Opportunities, and Technologies That Will Revolutionize Manufacturing
3. Save Production Cost and Time
A study conducted by the World Economic Forum in association with Advanced Robotics for Manufacturing found that collaborative robots can cut nearly two-thirds of the cycle time required to pack boxes onto pallets. Because cobots are designed to work without any breaks, they reduce the idle time between cycles. The International Society of Automation reports that cobots can save production costs by reducing 75% of manual labor. Traditional robots increase the installation costs for manufacturers as they need to set up additional safety measures around the deployment area. Cobots don’t incur such extra expenses as they can be set up in close proximity to humans.
4. Improve Employee Engagement and Productivity
Cobots work in collaboration with people to refine and process the tasks better. They can never replace the human touch in production. When cobots take care of repetitive tasks such as screwing a bottle or packing medical equipment, employees can focus on more important functions such as running quality checks or inspecting a worksite. It allows manufacturers to optimize their productivity and boost employee morale. Businesses can also prepare their workforces to learn new skills.
5. Maintain Consistency and Accuracy
From the first to the hundredth task, cobots maintain the same level of accuracy and consistency. Humans can get drained easily, whereas a cobot never deviates from the actions for which it is set up. This helps ensure high product quality and uniformity. With the right software and hardware configurations, cobots can produce more finished goods at an incredible pace, faster than handcrafting.
Industry 4.0 paved the way for automation and smart manufacturing powered by data-driven technologies such as IoT, cyber-physical systems, wearables, AR, cloud computing, artificial intelligence, cognitive computing, and so on. Though the sole focus of Industry 4.0 is to improve process efficiency through physical and digital integration, it accidentally ignores the significance of human value in process optimization. Industry 5.0 re-shifts its focus on human value by fusing the roles of mechanical components and human workers in production. This makes cobots the very foundation of the next wave of the industrial revolution, that is, Industry 5.0.
Denmark-based Universal Robots reports that cobots are at the heart of Industry 5.0. Cobots democratize robotic capabilities, thereby serving as a personal tool that can be leveraged by any member of the workforce to apply creative skills and generate more value. Cobots can be used as a plug-and-play solution across a variety of manufacturing and industrial operations such as automotive production, food processing, chemical plants, medical devices, and kits, among others.
Since they collaborate well with humans in a safe environment, cobots will:
Read more: How Custom Software Development Helps Manufacturing Industry
As technology matures, manufacturing enterprises need to build use cases that prove the inevitability of human-robot collaboration. We help develop POCs and use cases that demonstrate how your business can benefit from cobots. Our experts can develop your cobot management software or mobile app from scratch or customize your existing software to address the evolving market demands. Fingent can work along with your cobot hardware manufacturers to develop a robust software orchestration layer that can control the movement of your cobots. We also simplify the training process to help you get started in no time.
Better businesses need better cyber security.
Regrettably, threats to cyber security have become the new norm across public and private sectors. The pandemic affected all types of businesses. If anything, uncertainties around remote working amplified cybercrime. As a result, cyber security’s importance has become more clear now than ever before.
As cyberattacks become more sophisticated, businesses will have to stay one step ahead. Security professionals need strong support from advanced technologies like Artificial Intelligence (AI) to protect their companies from cyber threats.
AI can enable security teams to handle greater and more complex threats than ever before. More specifically, it has proven to identify and prioritize threats. In some cases, AI has even taken automated action to quickly remediate security issues. This article considers how AI can redefine the cyber security needs of an organization.
Before we discuss further, let’s find out the impact cyberattacks can have on businesses.
Protecting a company against cyber threats is costly. It can impact the relationship between your company and your customers.
Unfortunately, cyber threats are never static. Millions are created each year and are becoming more and more potent.
In a survey conducted by Hiscox-Cyber Readiness Report, 28% of the businesses that suffered attacks were targeted on more than five occasions in 2020. Companies have lost millions to such cyber security breaches. Companies like financial services, technology, and energy were hit the hardest.
That is not all. Cyber security breaches have caused several other damages including:
Read more: Quantum Vs Neuromorphic Computing – What Will the Future of AI Look Like!
Cyber threats are real and certainly worrisome to businesses. It is important to protect critical digital assets.
However, it takes planning and commitment of resources. With good security operations, you can stay on top of most of the most serious cyber threats. True, there may be smart thieves, but Artificial Intelligence can provide smarter security.
Here are 5 specific ways AI can contribute to cyber security:
Malware is unpredictable. And signature-based tools will not detect attacks that have never occurred before. Given that, is it possible to defend against something unpredictable? Yes!
AI is cable of grasping all the possibilities and finding relationships that traditional security tools would miss. While traditional security strategies have their place in cyber security, they are insufficient to detect and prevent zero-day attacks.
Zero-day attacks are best detected by automatically identifying aberrant behavior and alerting administrators immediately. AI can enable organizations to be more proactive and predictive with their security strategies.
Artificial Intelligence provides visibility and security for an organization’s entire data flow. AI helps organizations gain such visibility by dismantling each incoming file to search for any malicious elements. Simultaneously, it also looks at the user and network behavior and anomalies from expected activities.
Together with ML, AI adapts its behavior to new network conditions, constantly adapting to evolving security conditions. Even those hackers who use modern ML penetration methods cannot be fool AI-enabled cyber security.
We cannot stop security breaches from happening. But Artificial Intelligence helps organizations avoid potential disruptions before attackers wreak havoc.
Whether a company is small or mid-sized, there is a lot of data exchanged between customers and the company every day. This information must be safeguarded from potential cyber threats. Cyber security experts cannot always inspect all the data for potential threats.
AI is the best option to detect threats to routine activities. Because of its automated nature, AI can sift through large amounts of data in real-time and identify any hazards lurking amid the chaos.
Read more: Artificial Intelligence and Machine Learning – The Cyber Security Heroes Of FinTech!
Hackers constantly modify their methods but the fundamental security practices do not change. Plus, they may weary your cyber security worker.
Artificial Intelligence takes care of redundant cyber security operations while imitating the best of human traits. It also does a thorough analysis of the network to locate security flaws that may harm your network.
Ideal security is the one that can detect security threats in real-time. The principle of ‘a stitch in time saves nine’ applies here.
Integrating AI with cyber security measures is a sure way to detect and respond to attacks immediately. Unlike humans, AI does not miss a spot when examining your system for risks. Besides, it can detect risks early, thereby boosting response time.
Most websites allow users to log in and access services or make purchases. You will need greater protection as such a site contains private information and sensitive material. To maintain customer trust, it is important to ensure all data about your guests remains safe while accessing your site.
Artificial Intelligence can provide an enhanced security layer. AI can secure authentication when a user wishes to connect their account. Login measures like CAPTCHA, fingerprint, and facial recognition are used to determine if the attempt is legitimate or not.
Read more: Safeguarding IT Infrastructure from Cyber Attacks – Best Practices
Fingent is your reliable security partner. We provide professional security with reliable service. As a proactive security partner, we look ahead to ensure your business is successful far into the future.
Using AI’s real-time monitoring capabilities, we can spot potential issues before they become a major problem. Security experts Fingent are aware that cyber security threats are not limited to work hours. Our professionals here at Fingent will be there for your business whenever you need us.
We are in business today because of the reputation we built with our customers. We offer a unique level of enterprise IT support, and our clients can rest easy knowing that their business is always protected.
Give us a call and let’s discuss your security needs.
AI is not just a technology; it has become part of daily lives. Thanks to AI, we witness new kinds of development in each sphere of life every day. We can access many points with AI now more than we could ever before. From the research that we do on the internet to the goods that come to our doors, AI is directing our lives and business. It has solved many problems faced by humanity. And, revolutionized technology in all industries.
Coined at Dartmouth College in 1956, Artificial Intelligence (AI) gave succeeding generations a potential for information technology that can benefit humans in a profound way. Apart from bringing efficiencies, AI is also bringing new possibilities. These possibilities continue to create new models and opportunities for businesses that tap into them. Quantum and neuromorphic computing is the way forward.
This blog takes a deeper look into quantum and neuromorphic computing and explores which companies can benefit from these technologies.
The possibilities Artificial Intelligence can create are seemingly endless. Innovations are constantly taking place in the AI world. Given that, many business and information technology leaders are looking to better understand how it will affect their business now and in the future.
Taking a look at the future scenarios for how AI could evolve can help IT leaders demystify this emerging technology. Two such technologies are called neuromorphic or quantum computing. They offer us a new way forward by fulfilling our AI-related dreams. The quantum computing market alone is expected to reach $2.2 billion by 2026, so it’s definitely worth looking into.
The future of AI also depends on improving the capacity of intelligent systems by using powerful hardware. Hardware such as neuromorphic computing and quantum computing will allow companies to build AI solutions that are extremely fast and can encapsulate more data and knowledge.
For example, a virtual assistant may now have the computing capacity to handle one or two products. But with more powerful hardware, it could cover more products. Advantages in this area are ongoing.
Let’s examine these in detail.
Read more: Answering The Top Burning Questions On AI Implementation For Businesses!
Neuromorphic computation and quantum computing always seemed that they were years away. The fact is commercial neuromorphic chips and quantum computers are in use today. These two new technologies are going to change what looked like a straight path to Artificial Intelligence.
Neuromorphic computation attempts to imitate the way a human brain works. In simple terms, hardware and software elements of a computer are wired to mimic the human nervous system and cerebral system.
The goal of neuromorphic computation is to create devices that can learn, retain information, and make logical deductions just like a human brain does. It also attempts to imitate the human brain by searching for new information.
However, unlike quantum computing neuromorphic computing does is not that demanding. Where quantum computers need temperatures close to absolute zero, neuromorphic computers can easily work in normal conditions.
This increases its practicality and potential to integrate this technology in all kinds of devices.
Quantum computing deals with the world of atoms and subatomic particles inside those atoms. Unlike neuromorphic computation, quantum computing works on the principle of quantum entanglement.
So, the smaller the computer gets, the more powerful they seem to become. Quantum computing provided powerful new possibilities.
Though it is more complex than traditional computing, quantum computing opens the door to potentially solving very large and complex computational problems. It can potentially deliver a big computational upgrade for ML and AI computing.
Quantum computers will not replace traditional computers. Instead, they will require the support of traditional computers for their specialized abilities.
Read more: Driving Business Innovation and Success Through Sustainability
a) Aerospace and defense: Neuromorphic computing architecture can help in pattern recognition, event reasoning, and robust decision-making. It can also aid in adaptive learning and autonomous tasking for energy-efficient agile Air Force platforms.
b) Self-driving cars: Similar to space communications, neuromorphic computing enhances self-driving. In imitation of the human brain, neuromorphic chips attempt to think and learn on their own and then adapt their learning to unexpected scenarios on the road.
While conventional computers run commands sequentially, neuromorphic computers process and store data almost at the same time. This makes self-driving cars more energy efficient. It can also help autonomous vehicles learn skills and execute tasks more efficiently.
c) Healthcare: Neuromorphic platforms can be used for the hardware-based implementation of ML methods in treating Chronic Obstructive Pulmonary Disease (COPD) in home-care environments. Real-time analysis of data can be obtained by bringing data from the backend onto a neuromorphic chip.
Furthermore, securing sensitive medical data on a single chip complies better with patient privacy regulations. Since neuromorphic platforms process data near a patient, it offers a large fault tolerance for medical applications.
Moreover, hardware-based neuromorphic systems require less computational power making them perfect for PoC medical devices.
a) Aerospace: By considering an exponential number of variables, quantum computing could help determine the optimal alternative for each route. It can also help find the best way to allocate resources so that the crew and passengers are impacted as little as possible.
b) Healthcare and Pharmaceuticals: Harnessing the power of quantum computing can significantly accelerate the timelines of various stages of the pharmaceutical research and development process. It can help life science companies by accelerating the speed of the pre-clinical phase and reducing the cost of drug development.
c) Finance: Quantum computing will be able to help solve the problems of customers in finance institutes. It can optimize investment portfolios and financial derivatives. It can also enable the institutions to accurately characterize anomalous transactions and rapidly detect fraud.
d) Chemistry: It is likely that quantum computing can be applied to simulate the properties and behavior of new molecular structures in chemistry. It can address the probabilistic challenges of quantum mechanics. In the future, quantum computing is expected to predict molecular properties for new molecules.
Read more: Data and AI: How It Has Transformed Over The Years And Trends To Watch out For!
In the coming years, advances in Artificial Intelligence will reach the superintelligence stage. However, the transition to new technology has already begun.
Most businesses are incorporating this unique fixture as it has helped with better sales and forecasts. It has also given businesses growth opportunities. We are sure you want to get started with this too.
Give us a call and let’s discuss what is best for your business.