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Do You Want To Deploy Responsible AI In Your Organization? Join This Session To Operationalize Responsible AI

This session is designed to help you learn best practices & techniques for driving Responsible AI in your organization, achieve fairness in AI deployment and gain customer trust.

As AI adoption increases across industries, the emphasis has shifted heavily to developing and deploying ethical, responsible AI applications.

Responsible Artificial Intelligence is a positive force. According to Gartner, Responsible AI encompasses several aspects of making the right decisions when adopting AI, aspects that are often addressed independently by organizations. A responsible AI framework focuses on bias detection, privacy, governance, and explainability to help organizations harness the power of AI.

Nevertheless, the practical implications of Responsible AI are unclear. Can this be applied across industries and domains? How can we responsibly deploy AI? 

During this complimentary fireside, we will discuss the most critical aspects of responsible AI. 

To address these queries and more, Tredence is conducting a Fireside Chat session with dignitaries like Professor Balaraman Ravindran, Head, Robert Bosch Centre for Data Science and AI, Professor at IIT Madras; Soumendra Mohanty, Chief Strategy Officer & Chief Innovation Officer at Tredence Inc.; and Aravind Chandramouli, Head of AI CoE at Tredence Inc. The session would be conducted around the theme of ‘Responsible AI: Decode, Contextualise and Operationalise.’ 

This session is designed to help you learn best practices & techniques for driving Responsible AI in your organization, achieve fairness in AI deployment and gain customer trust.

Date and Time: 23rd November 2021, 5 – 6 PM 

Who should attend?

  • Data scientists & AI practitioners
  • Data Analysts
  • Data engineers
  • Analytics & data science working professionals looking to pivot
  • Aspiring data science candidates & AI enthusiasts
  • Developers, coders and programmers

Meet the Panel

Prof Balaraman Ravindran, Head, Robert Bosch Centre for Data Science and AI, Professor at IIT Madras

Prof Ravindran is the head of the Robert Bosch Centre for Data Science and Artificial Intelligence (RBC-DSAI) at IIT Madras and a professor in the Department of Computer Science and Engineering. He is also the co-director of the reconfigurable and intelligent systems engineering (RISE) group at IIT Madras, which has nearly 80 members associated with it currently. He received his PhD from the University of Massachusetts, Amherst. He has nearly two decades of research experience in machine learning and, specifically, reinforcement learning.

Soumendra Mohanty, Chief Strategy Officer & Chief Innovation Officer, Tredence Inc.

Soumendra Mohanty is the Chief Strategy Officer & Chief Innovation Officer at Tredence. He has led key growth portfolios (IIOT, Data, Analytics, AI, Intelligent RPA, Digital Integration, Digital Experience, Platforms), bringing in world-class capabilities, innovative solutions, and transformation-led, outcomes-led value propositions to our clients. Under his leadership, Tredence has established a wide range of digital and data analytics capabilities and an enviable client-centric innovation culture to solve problems at the convergence of physical and digital.

With a career spanning over 25 years, Soumendra has held various leadership roles at Accenture (Global Data Analytics Lead), Mindtree (SVP & Digital Lead), L&T Infotech (EVP & CDAO), leading multi-faceted P&L functions, including M&A advisory for technology growth strategies and startup ecosystems.

Aravind Chandramouli, Head AI C0E, Tredence Inc.

Dr Aravind Chandramouli has a PhD in Computer Science from the University of Kansas with a focus on Information Retrieval and Machine Learning.  He started his career at Google in 2007 and stopped at Microsoft, GE Research Labs, and Fidelity Investments over a 15-year career.  Currently, he heads the AI CoE at Tredence with a focus on innovation. At Tredence, his team focuses on solving complex problems for clients using the right AI techniques. These problems span a wide range of data types like text, images/videos and structured data. He has six patent grants based on solving hard industry problems that had a direct impact on the stakeholders. He has won innovation awards at Microsoft, Fidelity Investments and Tredence. In addition to the patent and innovation awards, he also has over ten publications at top international conferences and journals.

Date and Time: 23 November 2021, 5 – 6 PM 

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