How to Start & Scale Innovation in Data, Analytics & AI Projects


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May 20 2024 29 mins  

This episode of the D-Suite delves into the complexities of managing innovation in data and analytics, with a special emphasis on AI projects. The discussion provides valuable insights for data and analytics leaders on understanding the importance of aligning innovation with business priorities, focusing on value over tools or techniques, and exploring new ways of funding potentially high-return initiatives.

The main topics covered include:

  • The need for chief data and analytics officers (CDAOs) to strike a balance between delivering immediate results and investing in innovative projects that may have longer-term payoffs
  • Constantyn’s unique approach of running his team like a startup within a large corporation, focusing on delivering value and gaining stakeholder buy-in
  • The role of change management, communication and talent management in innovation

Constantyn Chalitsios is the chief digital officer at Westlake, leading the AI and digital program driving digital innovations to reimagine products and processes. Constantyn has over 30 years of industry experience and expertise in manufacturing, R&D, engineering and supply chain. He holds master’s degrees in electronics and robotics, along with an MBA in finance and nine patents in applied nuclear physics applications.

Michael Gabbard is senior director for Gartner’s data and analytics leadership and value research team. He focuses on major operational concerns for the office of the CDAO, including strategy development, operating model design, organizational structure, delivery model, information architecture and business architecture for data and analytics. Michael helps Gartner clients develop and maintain operational excellence for their data and analytics functions.


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