Interview with Dr Premlatha KR, PhD & Assistant Professor at PSY Engineering College

AI for Education Initiative, Education, Highlights, Interviews / By

Dr Premlatha KR is an Assistant Professor and Head of the Department of Computer Science and Engineering at Pandian Saraswathi Yadav Engineering College in Sivaganga, Tamilnadu, India. Dr Premlatha KR is also a committee member in the AI for Education 2019 Initiative, an AI Time Journal initiative which aims to identify and highlight the most beneficial …

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Complete Tutorial on Named Entity Recognition (NER) using Python and Keras

Data Science / By

Let’s say you are working in the newspaper industry as an editor and you receive thousands of stories every day. How will you find the story which is related to specific sections like sports, politics, etc? Will you go through all of these stories? No, right? How about a system that helps you segment into …

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What Language to Choose to Talk to AI

Tech / By

The development of the modern technologies of artificial intelligence requires implementing the latest approaches to its programming and learning. Scientists are opening up new opportunities for using AI and its areas of application to developers. All this requires updating software development tools. How developers choose the language for AI The choice of a programming language …

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How Banks Can Build a Great Conversational Banking Experience

Conversational AI, Customer Service, Featured / By

This is the second of the two-part series on application of conversational AI within the banking industry. Read the first article here. If great customer engagement is the overarching objective of any digital initiative, then it’s more than just about technology. At the heart of any digital banking success lies a well-planned, well executed strategy.    The rising adoption of conversational …

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Interview with Martin Frascaroli, CEO and Founder of Aivo

Conversational AI, Highlights, Interviews / By

Martin Frascaroli is the founder and CEO of Aivo, a company that helps enterprises solve their challenges in customer service and sales growth with omni-channel solutions powered by Artificial Intelligence.  In this interview, Mr. Frascaroli shares insights on how enterprises can leverage technologies such as conversational AI, voice-enabled interfaces and omnichannel virtual assistants across several …

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How Can Enterprises Prepare for the Changes Brought by Conversational AI?

Conversational AI / By

We asked this question to four CEOs of prominent Conversational AI and chatbot companies: here are their answers. A big thank you for the insights they provided to Alex Terry, Richard Smullen, Lars Selsås and Antonio Giarrusso. Alex Terry, CEO at Conversica The smartest companies will embrace this opportunity to use conversational AI technology to …

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The Future: Databricks’s Ambition and Influence Over Spark And Cloud-Services

Big Data / By

Over the past few years, most of the industry reports, market signals, expert opinions, global trends, technology-related debates, and many more across the world are hinting at only one direction – “The adoption of Apache Spark is on the rise”. The community of Spark is growing exceptionally and most of the prominent platforms of big …

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Data Science Platform for a Successful Enterprise Digital Transformation

Tech / By

Enterprises today are in a unique position where it is imminent to digitally transform, stay relevant in the business and realise the business value. While enterprises transform their business with a new set of technological innovations that are driving the digital industry. The adoption of these require the enterprise to be well prepared and ready …

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Introduction to Conditional Random Fields (CRFs)

Data Science / By

CRF is intended to do the task-specific predictions i.e. we have the input X (vector) and predict the label y which are predefined. CRF is a probabilistic discriminative model that has a wide range of applications in Natural Language Processing, Computer Vision and Bioinformatics. The conditional random field is used for predicting the sequences that …

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