Rethink 2023

NTT DATA is a strategic sponsor of Rethink 2023, the Manufacturing Leadership Council's premier event for manufacturing executives.


6/26/2023 - 6/28/2023


Marco Island, FL

This annual conference, devoted to digital manufacturing, brings together senior operational executives and their teams as they gain insights into how the world’s leading manufacturers are tackling digital transformation for operations.

If you are unable to join us at Rethink but would like to talk with one of our industry leaders please contact us today!

Visit Our Booth

While at the conference, we invite you to learn more on how we enhance manufacturing agility with digital value chains. Meet with our industry specialists to discuss smart factories, supply chain resilience, sustainability and more.

Join Our Sessions

Executive Interview: Connecting Manufacturing to the Customer Experience

11 a.m. ET
Wednesday, June 28


  • Mike Adams, Chief Information Officer, Brunswick
  • Prasoon Saxena, President, Manufacturing Business Unit, NTT DATA
  • David R. Brousell, Co-Founder, Manufacturing Leadership Council

This session discusses Brunswick’s digital transformation focus from the CIO perspective including specific steps the organization is taking to strengthen customer ties and drive better customer experiences. A focus will also be put on the pattern of customer experience driving manufacturing needs across the board.

Think Tank: Creating Effective Machine Learning Models

1:25 p.m. ET
Wednesday, June 28


  • Sudhir Arni; Senior Vice President, Manufacturing Transformation, Sight Machine
  • Shamlan Siddiqui; Vice President, Consulting & Digital Transformation Services, NTT DATA

Machine learning, a subset of artificial intelligence, enables machines to learn from past data or experiences without being explicitly programmed. The benefits of doing so have become clear to manufacturers: 70% of respondents to a 2022 MLC survey said they have invested in the technology or plan to by the end of 2024. This session will explore how manufacturers can get the most from the ML systems.