Lessons Developing Conversational AI Virtual Agents
Mitul Tiwari, Director of AI and Machine Learning Engineering | ServiceNow
This talk will cover building conversational AI using deep learning technologies and lessons learnt in developing conversational interfaces. The first part of the talk will describe recent advances in deep learning that has led to tremendous progress in natural language processing and is making conversational AI a reality. Conversational AI includes intent classification, sequence labeling, understanding dialogs and context, and coming up with responses to users messages. The second part of the talk will address lessons learned developing conversational virtual agents. A conversational virtual needs to be personable in addressing, adaptive in understanding, and available to automate different supported tasks. Overall, key take aways from the talk will be better understanding of (1) deep learning techniques for natural language processing and (2) interaction patterns for automation using a conversational virtual agents.
Mitul Tiwari
Director of AI and Machine Learning Engineering | ServiceNow
Mitul Tiwari is the Director of AI and Machine Learning Engineering at ServiceNow. Earlier he was CTO and Co-founder of Passage AI (acquired by Servicenow). His expertise lies in building data-driven products using AI, Machine Learning and big data technologies. Previously he led People You May Know and Growth Relevance at LinkedIn, working on technical innovations in large-scale social recommender systems. Prior to that, he worked at Kosmix (now Walmart Labs) on web-scale document and query categorization, and its applications. He earned his PhD in Computer Science from the University of Texas at Austin and his undergraduate degree from the Indian Institute of Technology, Bombay. He has also co-authored more than twenty publications in top conferences such as KDD, WWW, RecSys, VLDB, SIGIR, CIKM, and SPAA.