Demystifying Ways To Build AI Products That Gets Adopted

Abstract

In the past year alone, we saw several instances of malfunctioning AI products. Due to this, consumers have become increasingly wary of them and has several reservations about purchasing an AI product. 

In this scenario, how do you build an AI product that gets consumers trust? How to bring in transparency and manage people’s expectations from an AI product? How do you increase your AI product’s adoption rate? 

In this webinar, Joydeep Bhattacharjee, Nineleaps - Principal Engineer, will address all these questions and will enable you in developing an AI product that people will trust and adopt.

Topics to be covered:

• Case studies of different AI products that have not worked well in the market
• Best practices when designing the AI product
• Increasing the trust factor and adoption rate of your AI product
• Improving AI workflow

About the Speaker:

Joydeep Bhattacharjee is a Principal Engineer at Nineleaps, who has been involved in developing Analytical and Machine Learning solutions for various customers across different industries. 

He has a rich background of product architecture and development experience with technologies such as Python, Spark, Tensorflow, MySQL, Neo4j, Airflow. He has also authored a book, FastText Quick Start Guide, which talks about fasttext, a popular natural language processing software.