Agenda 2022

November 9, 2022
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09:00 - 10:00: Registration, Breakfast, and Networking
10:00 - 10:15: Welcome Address and Kick Off
Ranjan Sinha, PhD, IBM Fellow, VP and CTO, Global Chief Data Office, IBM

MIT-IBM AI Lab Study: Economic Attractiveness of AI
Liliana Horne, PhD, Director, AI Accelerator, Global Chief Data Office, IBM
10:15 - 11:00: Keynote Discussions
Data, AI, & Automation: How they are used together to transform the enterprise
Dinesh Nirmal, General Manager, Data, AI, and Automation, IBM
Inderpal Bhandari, Global Chief Data Officer, IBM

Data and technology challenges that companies are going to encounter when implementing ESG
Inderpal Bhandari, Global Chief Data Officer, IBM
Tanya March, Sustainability Software, IBM
Nicole Jackson, ESG Data Office Leader, Global Chief Data Office, IBM
11:00 - 12:00: Panel: Data Literacy
First there was computer literacy, now it's data literacy
A data-driven organization requires data access, infrastructure, and tools. But these are meaningless without a workforce that has the skills to access relevant data, understand what it means related to their role and use it to achieve business objectives. In this session, we'll talk about how data literacy is the next evolution of computer literacy, and the 4 foundations of a data literate organization that facilitate adoption of your data strategy.

Ana Manrique, Vice President, Design, Data and AI, IBM

Bernardo Rodriguez, Chief Digital and Technology Officer, J.D. Power
Daniel Morris, Global Head of Analytics & Business Intelligence, HBO Max
Zoher Karu, VP, Chief Data & Analytics Officer, Blue Shield of California
12:00 - 13:30: Lunch + Networking
13:30 - 14:30: Panel: Data Fabric and Data Mesh
A modern data architecture isn’t either a data fabric or a data mesh, it covers both
With the democratized data access of a modern data architecture, teams can access the data they need to make better decisions, faster. In this session we'll talk about the value you can deliver with the right architectural approach, why we believe data fabric is the foundation for a data-driven organization and how data mesh fits into the conversation.

Ana Manrique, Vice President, Design, Data and AI, IBM

Krish Swamy, Senior Vice President, Enterprise Analytics and Data Science, Wells Fargo
Sham Kashikar, Global Head of Analytics & Data Management, Meta/Facebook (former)
Sibito Morley, Senior Vice President & Chief Data Officer, Lumen Technologies
14:30 - 15:30: Panel: Data Governance, Privacy, Trustworthy AI
How data and AI governance streamlines regulatory compliance and data protection—and paves the way for innovation
With the right governance approach, organizations can deliver on the data security, data ethics, and data privacy needs of the organization amidst ever evolving and compounding global regulations. As a data leader, you’re responsible for making that happen, plus implementing dynamic and transformative AI solutions into workflows along the way. This discussion will dive deeper into the business value data governance delivers as it expands to address privacy, security, and many aspects of AI—from regulatory compliance to workflow innovations.

Betsy Greytok, Vice President, Ethics & Policy, IBM

Krishna Venkatraman, Chief Data Officer, Kueski
Rolland Ho, Chief Data Officer, Sequoia Consulting Group
Ronke Ekwensi, Vice President, Chief Data Officer, T-Mobile
15:30-16:00: Mid-afternoon break + Networking
16:00-16:30: Emerging Technology and Trends:
The Role of the CDO/CTO in Public Company Boards
Inderpal Bhandari, Global Chief Data Officer, IBM, Independent Director for Walgreens Boots Alliance
David Mathison, CEO, CDO Club

Quantum Safe: Addressing data encryption in a post-quantum world
Inderpal Bhandari, Global Chief Data Officer, IBM
John Buselli, Offering Manager, Research, IBM
Thomas Ward, AI Project Leader, Global Chief Data Office, IBM
16:30 - 17:30: Panel: Building the CDO Organization
Build and run a data office that delivers cross-organizational business value
What are the critical elements of an effective chief data office where stakeholders see the value of your efforts? From people to processes and technology, we'll cover what it takes to create a CDO that sets your organization up for success—and the KPIs to prove it.

Timothy Humphrey, Vice President, Global Chief Data Office, IBM

Danielle Crop, Chief Data Officer, Albertsons Companies
Das Dasgupta, Chief Data & Analytics Officer, Saatchi & Saatchi
Ronke Ekwensi, Vice President, Chief Data Officer, T-Mobile
17:30 - 17:40: Wrap Up
Steven Eliuk, PhD, VP AI and Governance, Global Chief Data Office, IBM
17:40 - Close: Networking Reception