Amit Srivastava

Amit Srivastava

Job Title: Director, Research Engineering

Company: eBay

Amit Srivastava is the Director of research engineering in the New Product Division at eBay. He currently leads the eBay ShopBot and eBay Assistants initiatives where he is exploring the application of cutting-edge Artificial Intelligence (AI) techniques to power multimodal and conversational experiences for eBay’s customers. His team focuses on the development and integration of algorithms in the areas of computer vision, speech recognition, machine translation, natural language understanding, knowledge-base population and statistical inferencing, conversational dialog management, and natural language generation to develop e-commerce chatbots and digital assistants that will allow customers on multiple platforms to search and procure their version of perfect from eBay’s extensive product inventory. In addition to researching solutions to difficult AI problems, Amit is also passionate about cloud-based tools and software engineering methodologies for the development of distributed, highly-scalable, and reliable micro-services that encompass these novel algorithms and can be deployed and integrated in the Google Cloud Platform.

Before joining eBay, Amit led the Media Exploitation Solutions group in the Speech, Language, and Multimedia business unit at Raytheon BBN Technologies. In this capacity, he managed the integration of cutting-edge speech and natural language processing research into robust products and services that were transitioned to several operational installations, both within the United States and abroad. Amit guided the expansion of BBN’s media monitoring solutions from just one to six products and services that formed the backbone of BBN’s speech solutions business. Amit holds a Master’s degree in Electrical Engineering from Northeastern University in Boston, MA and a Bachelor’s degree in Electronics and Electrical Communication Engineering from the Indian Institute of Technology in Kharagpur, India.

Speaking at the following:

2.30pm - 3.15pm
Discussion Group 1B: Creating a Long-Term Strategy for AI

• What are the financial, operational, and technical challenges in getting AI off the ground, how should you resolve them? • How does the CAIO act as an evangelist across the business, and convince business units who aren’t traditionally data savvy to embrace data-driven insight? • Understanding the need for both top-down and bottom-up advocacy… Read more.

2.45pm - 3.15pm
Panel Discussion: Right Here, Right Now – Real Time Data Science

• What tools and technologies are required in order to implement real-time decisioning? • Examining the potential applications for real-time automated decision making – are they viable? • Are additional data governance processes required to make real-time decisioning work?