nli – Proxzar Labs

May 25, 2024 Healthcare, Natural Language Interface praveen.rayal

When you are planning to use Artificial Intelligence for assorted applications in your organization, where do you start?

More than a score articles have been published online that speak of the applications of Artificial Intelligence in Healthcare. Some of them have done an in-depth study of these AI applications and also, have projected savings in terms of time and money. For example, a Harvard study has identified top 10 AI applications with projected […]

April 30, 2024 Natural Language Interface praveen.rayal

Types of applications implementing NLI

Types of Applications Implementing Natural Language Interface This post is the second of a three part series on Natural Language Interface (NLI). The first post was Natural Language Interface: Advantages & Dis-advantages and the last post in the offing is: Tools/ Technologies that are used to build NLIs. Applications that implement Natural Language Interfaces, in […]

April 26, 2024 Natural Language Interface praveen.rayal

How a Conversational AI differs from a rules or workflow-based Chatbot

A Chatbot is a traditional natural language interface that is designed for primary and linear-driven interactions. Rules-based chatbots can be built quickly and are guided by pre-defined workflows. These type of chatbots have minimal application of AI or NLP technology.

April 24, 2024 Natural Language Interface praveen.rayal

What Tools and Technologies are used to build NLI applications?

This article is the third and last part of the series of articles –

April 15, 2024 Automotive, Natural Language Interface praveen.rayal

How building NLIs could address some of the disruptive trends in Automotive aftermarket in 2030?

In their article on the Automotive aftermarket in 2030, McKinsey predicts several disruptive trends that effect the entire value chain in the Automotive aftermarket as depicted in the featured graphic.

April 3, 2024 Discrete Manufacturing, Healthcare, Natural Language Interface praveen.rayal

Implementing Voice of Customer program using NLI to drive innovations in an organization

How to Implement Voice of Customer Program Using NLI for Innovation This article suggests how a Natural Language Interface (NLI) when developed for implementing Voice of Customer program could drive product innovations in an organization. What is Voice of Customer (VoC)? PDMA says VoC is a process for eliciting needs from consumers that uses structured […]

March 30, 2024 Natural Language Interface praveen.rayal

How can AI increase the efficiency of marketing operations

With the advent of Artificial Intelligence, the marketing operations space is evolving everyday. It is typical that marketers focus on creating campaigns that are customer oriented and technology based.

March 20, 2024 Natural Language Interface praveen.rayal

The 7 NLP Techniques That Will Change How You Communicate in the Future

As part of my research to understand the advances being made in AI / NLP technology, I read the excellent article titled ‘The 7 NLP Techniques That Will Change How You Communicate in the Future‘ by James Le that was published online on Medium. James vividly explains these techniques in detail – which makes it an excellent read for anyone who is interested in NLP. In this article, I attempted to put my own understanding of these advances in NLP technology.

March 20, 2024 Natural Language Interface praveen.rayal

A quirky explanation of the difference between an interface (I) and an experience (X) as in UI and UX

A Quirky Explanation Of The Difference Between An Interface (*I) And An Experience (*X) As In UI And UX As builders of Artificial Intelligence powered platform that can deliver experts curated content using proxies, we often get questions on what is a NLI and how is it different from a graphical user interface and also, […]

March 7, 2024 Customer Service, Natural Language Interface praveen.rayal

3 Use Cases Of Artificial Intelligence For Enhanced Customer Experience

Customer Engagement is the key to a brand’s success and can be only achieved when brands understand the customer needs, interests and respond to them in real-time through right resources and using right technology.

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