Past Webinar

Evolution of Data and AI Webinar Series Part 2: Innovations in Data and AI in 2024 and Beyond

Date and Time

Tue, Jan 30, 2024
Read the 3-minute summary


Artificial intelligence (AI) has quickly become a part of everyday life, with the emergence of generative AI (GenAI) accelerating its global accessibility. In business, GenAI expedites code development and personalized marketing campaigns for maximum impact. As AI continues to advance at an unprecedented pace, this evolution is instigating a transformative shift that is reshaping the landscape of data and its myriad applications.This session will explore cutting-edge innovations and challenges shaping the future of AI in 2024 and beyond.

Join our industry experts as they explore:

  • The significance of data quality in ensuring successful AI development and deployment, and strategies to achieve it
  • Why traditional master data management (MDM) is no longer adequate in the face of AI and how data products are emerging as a more powerful solution
  • The evolving role of data teams in an AI-driven era, necessitating a shift from purely technical expertise to a more strategic, business-oriented approach
  • The new data culture that fosters collaboration, enabling organizations to fully leverage the potential of AI

This session is essential for organizations seeking to remain at the forefront of the rapidly evolving world of data and AI.


Randy Bean
Founder and CEO, NewVantage Partners, Innovation Fellow, Wavestone
Salema Rice
Founder and CEO, CDO Today
Anthony Deighton
Data Products General Manager, Tamr
Moderator: Jim Halcomb
Head of Product Management, EDM Council

Post-event summary

The webinar titled “Innovations in Data and AI in 2024 and Beyond,” co-hosted by the EDM Council and Tamr, featured a dynamic and insightful discussion among industry experts:

  • Randy Bean, Founder and CEO, NewVantage Partners, Innovation Fellow, Wavestone
  • Salema Rice, Founder and CEO, CDO Today
  • Anthony Deighton, Data Products General Manager, Tamr
  • Moderator: Jim Halcomb,Head of Product Management, EDM Council

The panel delved into the evolving relationship between data and AI, emphasizing its significance in various sectors, especially healthcare and financial services. A key theme was the imperative nature of AI and its inevitable integration across industries. The webinar highlighted the critical importance of data quality, underscoring that AI’s effectiveness is directly tied to the quality of underlying data. The panelists discussed the concept of data as a product and the shift towards managing data with a focus on solving specific business problems. They noted that this approach could lead to the creation of data marketplaces where trusted, curated data is readily available for creating AI models.

A significant part of the discussion was dedicated to the challenges and opportunities presented by generative AI. Panelists noted a substantial increase in investments in this area, coupled with a need for robust governance frameworks to ensure responsible and unbiased AI deployment. The webinar also touched upon the importance of data literacy and the role of Chief Data Officers (CDOs) in driving cultural change within organizations to embrace data-driven decision-making. The transformational potential of AI in enhancing productivity, customer experience, and operational efficiency was a recurring point.

A pertinent quote from Anthony Deighton of Tamr encapsulates the essence of the discussion: “AI really changes how data products are realized.” This statement emphasizes the transformative role of AI in shaping the future of data management and its applications across industries. As a conclusion, the panelists emphasized the importance of collaboration and community in the data and AI space, assuring that CDOs and data professionals are not alone in their journey towards leveraging AI for innovation and competitive advantage. They encouraged continued dialogue and support within the industry to navigate the complexities and maximize the benefits of AI and data management.