Speaker

Chandra Khatri

Chief Scientist and Head of AI, Got-It.ai

Chandra Khatri is the Chief Scientist and Head of AI at Got It AI, wherein, his team is transforming the AI space by leveraging state-of-the-art technologies in order to deliver Self-Discovering, Self-Training, and Self-Optimizing products. Under his leadership, Got It AI is driving the Conversational AI ecosystem towards automation. Prior to Got-It, Chandra was leading various kinds of applied research at Uber AI such as Conversational AI, Multi-modal AI, and Recommendation Systems.

Prior to Uber AI, he was leading R&D for the Alexa Prize Competition at Amazon, wherein he got the opportunity to significantly advance the field of Conversational AI, particularly Open-domain Dialog Systems, which is considered as the holy-grail of Conversational AI and is one of the open-ended problems in AI. Prior to Alexa AI, he was driving NLP, Deep Learning, and Recommendation Systems related Applied Research at eBay. He graduated from Georgia Tech with a specialization in Deep Learning in 2015 and holds an undergraduate degree from BITS Pilani, India.

His current areas of research include Artificial and General Intelligence, Reinforcement Learning, Language Understanding, Conversational AI, Multi-modal and Human-agent Interactions, and Introducing Common Sense within Artificial Agents

Company

Got-It.ai

Got It AI has developed a next-generation Conversational AI platform focused on Customer Experience Management. Leveraging Transfer Learning and the paradigm shift in NLP caused by Transformers (BERT, GPT-3, T5, and Proprietary models.) Got It AI has developed the first Conversation AI Platforms with Self-Discovery, Self-Training, and Self-Management: making conversational solutions easy to deploy and manage compared to existing solutions that involve manual flow building, and constrained training of chatbot NLU and NLG.