It's no secret the recent success of AI has pushed organizations to rethink their data governance program. Data leaders have become increasingly concerned with the origin, use, and safety of their data - especially before their data is deployed in AI models. These concerns, combined with the struggles of stakeholder buy-in, have presented a unique challenge for data leaders going into 2024.

Join us for our session as we explore tips and tricks to ensure your data governance program is ready for AI. Leave with clear takeaways to build the right data infrastructure using data lineage, integration, and governance capabilities to acquire, prepare, and organize data before it can be readily accessed by AI builders. 

Speaker: Scott Buckles

Worldwide Business Unit Executive, IBM Data and AI, IBM

Scott Buckles is currently the Worldwide Business Unit Executive for IBM’s Data and AI solutions. Scott has over 20 years of industry experience and remains focused on helping customers achieve their business goals by leveraging technology, process optimization, and people within an organization. Scott’s passion for customers and technology has helped deliver results from the early e-commerce days to today’s burgeoning world of advanced analytics and artificial intelligence.

In his current role, Scott is responsible for customer satisfaction around the globe, where he leads a team of Data and AI specialists and subject matter experts. Scott and his team have a deep focus on helping customers transform their raw data into business-ready data that drives more revenue, competitively differentiates themselves, reduces costs, and ensures compliance. In addition, Scott helps companies glean insights from all their data, no matter where it resides, and engage with AI to transform their business. Ultimately, staying committed to delivering meaningful and sustained business value to his clients and partners.

Scott lives in Columbus, Ohio, with his family. He spends his spare time coaching his boys, golfing, skiing, and playing hockey.