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Conversational Intelligence: The Next Big Thing In Customer Experience

2 minutes 30 seconds read

Conversational AI is the technology that makes human-computer conversations emotionally intelligent, and less scripted. It allows AI-led chatbots to interact with people in a human-like manner, thereby keeping this human-computer interaction as natural as possible, yet high on its emotional quotient.

Conversational AI is trained to comprehend and engage in contextual dialogue using Natural Language Processing (NLP) and additional AI algorithms.

Conversational AI is one among a few other new-age technologies that continue to emerge on the scene including augmented intelligence, edge AI, data labeling, and explainable AI.

How Conversational AI helps with better CX? 

Conversational AI uses a combination of natural language processing (NLP), machine learning (ML), speech recognition, natural language understanding (NLU), among other language technologies to process and contextualize voice or text messages and accordingly respond with the most suitable answer. 

Through NLP, the computer can ascertain the intents and entities of the customer on the other end, while identifying statistically significant patterns that it has been trained on. This enables it to learn your business needs and get smarter with time, thus helping a more evolved customer experience. 

Why is it important to invest in Conversational AI?

Gartner had predicted that, by the year 2020, customers would manage 85% of their interactions with businesses without interacting with a human. It’s predicted that in the upcoming decade, basic automation and apps will be replaced with advanced AI technologies with an objective to improve the overall customer experience metric by proactively gauging the customer’s needs and intent and engaging on an emotional level. 

An increased amount of AR and VR innovations across industries are set to be the norm by 2025 as part of an expected customer experience offering. 

“The greatest advantage of having a conversational AI solution is the instant response rate. Answering inquiries within an hour means 7X greater probability of converting over a lead. Clients are bound to discuss a negative encounter than a positive one,” reports AnalyticsInsight.net. 

Image Courtesy: www.kore.ai

Conversational AI in Insurance 

Conversational AI is an ideal addition for service, healthcare, insurance organizations to name a few, as it helps with helping support agents streamline their work, take after-call notes in the CRM system, or complete the missing details that will help by building a seamless customer service system. The technology also helps predict or react to changing call patterns and/or any real-time guidance the agent might require. 

Additionally, customers can first engage in self-service aided by conversational intelligence to save time, improve efficiency and get the desired results sooner. While rebranding Care Health Insurance’s (erstwhile Religare) website and app, Mantra Labs deployed Hitee, their AR-based virtual support that helped with the first-level solution for the customer and in turn, led to higher New Business Conversions by a factor of 10X and an overall drop in customer queries over voice support by 20%.  

2021 Customer Support Trends Report says that inferior customer experience costs companies at least $62 billion annually. 56% of support leaders shared that their current chatbot implementations don’t carry intelligent tools in this report, and customers are increasingly demanding convenience from businesses they interact with. 

Intelligent chatbots make apps simple, and more human to use. Their USP is to create device-agnostic experiences across channels, thus becoming a key factor in driving intelligent customer experiences. 


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Open Finance: Reality or Hype?

3 minutes read

Open Banking has reshaped the fintech industry. Customers want a seamless experience with more convenient and flexible access to services. Technological innovation and digital transformation have led to the emergence of neobanks which offer a banking experience similar to delivery apps. Now the customers can avail of services like opening an account in minutes. In the last few years, another new concept- Open Finance has joined the queue. What exactly is open finance? Is it just hype or reality? And how open finance might improve customer experience (CX). These are some of the questions that we’re going to talk about in this blog. 

Open Banking

In open banking, banks and other financial institutions allow third-party financial service providers to access the bank’s customers’ data via APIs (application programming interfaces). This helps banks to create more personalized offerings and meet the changing needs of their customers.

What is Open Finance?

Open Banking and Open Finance are similar. However, Open Finance is slightly more advanced in the process. Simply put, it is the next step in open banking. 

Open Finance is a more customer-centric approach. It gives users a safe and dependable way to share their data with the financial tools and apps they prefer to use.

How is Open Finance different from Open Banking?

How is Open Finance different from Open Banking?

Source: Accenture

Open Banking has certain limitations when it comes to sharing of financial data. Here, only that data can be shared which is related to financial operations made within the bank’s app or in a branch office. Open finance goes beyond this limitation.

In Open Finance, non-banking financial data including mortgages, savings, pensions, insurance, and consumer credit – basically your entire financial footprint – could be opened up to trusted third-party APIs if you agree.

Open finance will help open new gateways for financial institutions to improve CX. Let’s dig deeper to understand how this concept will change CX in the Fintech world for the next-Gen customers. 

  1. 360-degree Customer Insights: Data acts as a tool to study deeply about your customers. Organizations can analyze the customer data and extract some valuable insights to design the complete customer journey. Open Finance opens a more secure pathway for financial institutions and gives a more complete picture of their customer’s finances. 
  2. Partnerships & Collaborations: With open finance, comes an opportunity for the financial institutions to network and collaborate with various providers. This means they could deliver a wider variety of services based on consumer data, uncovering new business models and innovations.
  3. Transparency for the Lenders: Lenders can evaluate and measure the creditworthiness of potential borrowers, audit documents, and offer customized solutions by securely collecting customer data. Machine learning algorithms may help to extract valuable insights from raw data.

Open Finance offers freedom and flexibility to consumers giving more options and control over the data they share and how they engage with their finances. With just 8 seconds of attention span, the new age consumers want better experiences to get hooked to one brand. Open finance creates unparalleled access to a broader range of products and services. With data sharing, banking organizations can keep track on the changing customer expectations who want frictionless interactions and hyper-personalized experiences across all touchpoints of the customer journey.

The Road Ahead

Statista predicts that there will be 63.8 million open banking users globally by 2024, increasing at an average annual rate of about 50% between 2020 and 2024. This means there will be more demand for innovative products and services in the industry. Banking organizations would need to analyze the rising customer expectations more closely than ever. And for this, data would act as a key to designing the experience of tomorrow. 


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