• Liliana Horne: Director, AI Accelerator, Global Chief Data Office, IBM

One thing is certain—there’s no AI without data. But where does responsibility for AI start and stop within the CDO role and how do you design a data strategy that allows these technologies to thrive?

In this session we’ll explore recent AI trends and how they align with the 4 characteristics of the most successful CDOs from the 2023 Chief Data Officer Study: Turning data into value.

• Inderpal Bhandari: Global Chief Data Officer, IBM

Some technical users of data want to be able to flex their coding skills, and others prefer more out of the box solutions. Line of business users don’t always care about the brilliant work that makes their day to day seamless, but the tools and software you select to help them action data insights is very much on their radar.

In this panel session, explore how you can cultivate a modern data foundation that excites technical teams and entice business users to get data literate.

• Tim Davis: Executive Director, Data and AI Architecture, IBM (moderator)
• Anjali Gupta Reddi: Chief Data Officer, Dow Jones
• Arun Kumar: Chief Data and Marketing Technology Officer, Interpublic Group
• Eric Hirschhorn: Chief Data Officer, BNY Mellon
• Gary Kotovets: Chief Data and Analytics Officer, Dun & Bradstreet

A successful data strategy means getting buy-in from stakeholders across the organization early on and having true partners in execution.

Listen to IBM’s Chief Human Resources Officer (CHRO) discuss how, in partnership with the Global Chief Data Office, HR has overcome data and AI adoption hurdles to become Client Zero for AI and automation at IBM.

• Nickle LaMoreaux: Senior Vice President & Chief Human Resources Officer, IBM
• Inderpal Bhandari: Global Chief Data Officer, IBM

It’s understood that AI will drive business transformation, but not one single area is responsible for successful AI implementations. For CDOs it’s crucial to adapt to think collaborative environment and help lead the c-suite to a truly data-driven organization with AI solutions at its core.​

The Data & Trust Alliance was founded by CEOs who believe that the future of business will be powered by the responsible use of data and AI. Members include CVS Health, Deloitte, IBM, Mastercard, Nike, Pfizer, Transcarent, UPS, Walmart and more than a dozen other companies. They are actively engaged in creating practical tools and management practices aimed at responsible and profitable usage of data and AI. This panel will cover the ways in which Alliance companies built and adopted Algorithmic Bias Safeguards for HR (in advance of regulation around bias in HR) and ‘new diligence’ for M&A teams to better evaluate AI-centric businesses, as well as work underway to establish data provenance standards that will help foster the trustworthiness of data (and therefore of AI).

• Saira Jesani: Deputy Executive Director, Data & Trust Alliance, and Partner, SYPartners (moderator)
• Travis Carpenter: Vice President, Data Sources, Mastercard (On "Data Provenance")
• Richard Andrews: Senior Counsel, Transcarent (On "M&A of AI-centric businesses")
• Meredith Feiner: Talent Managing Director, HR Strategy & Transformation, Deloitte (On "Algorithmic Bias in HR")

Innovations like ChatGPT have brought significant attention to the enormous technical advances in the area of foundation models and generative AI. How do businesses harness the power of these advances in an effective and trustworthy manner to power automation and accelerate their digital transformation? Join us for a conversation on the business opportunity of generative AI and foundation models, and how IBM’s next-generation AI and data platform, watsonx, can help multiply the impacts of AI across your business through three powerful components.

• Nicholas Fuller, PhD: Vice President, Automation and Edge, IBM Research, IBM

• Liliana Horne: Director, AI Accelerator, Global Chief Data Office, IBM