Rashmi Tiwari, Director – Technical Architect, Automation & AI, Thomson Reuters

16.5 years of diverse international experience in Digital Transformation space including Quality Assurance, Platform Engineering, Robotics process automation (RPA), Chatbots, AI/ML and Document Intelligence. Currently leading the Intelligent Automation Centre of Excellence at Thomson Reuters as a part of larger change program.
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Ms. Theresa Kushner, Senior Director, Data and Analytics Solutions, NTT DATA Services

Theresa Kushner is passionate about AI, data analysis and how it gets applied to today’s business challenges.  For over 25 years she has led companies – like IBM, Cisco Systems, VMware, Dell/EMC – in recognizing, managing, and using the information or data that has exploded exponentially. Using her expertise in journalism, she co-authored two books on data and its use in business:  Managing Your Business Data:  From Chaos to Confidence (with Maria Villar) and B2B Data-Driven Marketing:  Sources, Uses, Results (with Ruth Stevens). Today, as the Data and Analytics solutions lead for NTT DATA, Theresa continues to help companies gain value from data and information.  She concentrates specifically on how companies are applying AI, ML Ops and overall governance to their everyday challenges. She was recently installed on the boards of Women in Big Data and AI Truth.   For her efforts in leading analytics, Theresa was inaugurated as Analytics Practitioner into the Analytics Hall of Fame at Pace University in New York in 2019.
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Thomas Normark, Global Head of AI & Robotics, Innovation Technologies, NTT DATA Business Solutions, Denmark

Thomas Nørmark is known as the Robot Whisperer and Father of Avatars. In his role as Global Head of AI & Robotics at NTT DATA, Thomas is one of the most experienced profiles in the space of artificial intelligence. Thomas has been involved in a wide number of AI projects all over the world, which gives him the ability to talk out of real experience instead of theory. Over the past years Thomas has had a deep focus on the ethical aspects of working with AI and Big data.
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