2024 DataIQ Summit Miami Agenda

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Day 1 (May 20) DataIQ 100 Live Reveal

3.00pm EDT– Registration

Dress Code: Smart casual

5.30pm EDT – Drinks and hors d'oeuvres reception

6.30pm EDT – Welcome address and DataIQ 100 reveal

7.30pm EDT – Close

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Day 2 (May 21) DataIQ Conference

8.00 - 9.00am EDT: Registration and breakfast

Dress code: business casual

9.00 - 9.15am EDT: Winning with AI - beyond the hype, what’s the plan?

Paul Hatley, Co-author of ’Winning with AI’ and managing director, DataIQ

To open this year’s conference, Paul will start with the big questions about artificial intelligence, GenAI and whether they are really about to change everything. In the face of this apparent mega-trend, what should individual organisations actually be planning to do? Leaning on the new DataIQ AI framework, he will examine how to move from legacy to leader without losing your way.

9.15 - 9.35am EDT: Data leadership through the AI Revolution at Colgate Palmolive

Diana Schildhouse, Chief analytics and insights officer, Colgate Palmolive

AI is going to create a wave of change on a par with the industrial revolution. As data leaders, not only what we do, but how we do it, is going to be critical to an organisations ability to survive this scale of change. Diana, DataIQ 100 No. 1 2023, will share her leadership approach to managing change, from partnering with business teams to drive value from AI, building a strong data culture and quantifying measurable value (dollars) from AI.

9.35 - 9.55am EDT: Leading Through AI Transformation

Sathish Muthukrishnan, Chief Information, Data and Digital Officer, Ally Financial

As artificial intelligence takes off, exploring and deploying the technology at scale should be top of mind for leaders. But who “owns” AI in the organization? Should it be led by the technology or data functions, or belong to individual business divisions? According to Sathish Muthukrishnan, Chief Information, Data and Digital Officer at Ally Financial, AI should be seen through the lens of enterprise transformation. Everyone plays a role. Thinking about your transformation strategy, not just your AI or data strategy, will have a tremendous impact on success with this emerging technology.

In this session, Sathish will discuss:

The similarities and differences between leading on AI compared to other tech or data-driven activities.
The importance of bringing an entire organization, including employees, along for the AI journey.
The need to build strong relationships across leaders in technology, business lines and control partners.

9.55 - 10.15am EDT: Data Storytelling: Absorbing Complexity and Delivering Simplicity

Avinash Tripathi, Vice President of Analytics, University of Phoenix

Across every enterprise, analytics serve as the caretaker of data. Yet, streamlining and harnessing that data is easier said than done. The remedy? Effective data storytelling—that is, how to effectively communicate insights that can have a huge impact on an organization’s success.

It can be noted that in many organizations, the data and analytical functions can be guilty of making complex situations even more challenging by providing insights that are complicated for the layperson executive. According to McKinsey, organizations are investing trillions of dollars to become more data-driven, but only 8% are successfully scaling analytics to get value from their data.

Join this session to ensure the data-driven insights you deliver are useful, trusted, and compelling to the business.

You will also learn:

If the job of analytics is to "understand the complexity and deliver simplicity," do we think analytics departments, overall, achieve this?
What do you think is standing in the way of many analytics functions from delivering simplicity?
How do you ensure the insights you’re delivering are useful to the business?

10.15 - 10.40am EDT: Keynote Q&A Panel

Keynote Q&A Panel featuring morning keynote presenters

Moderator

Paul Hatley, Conference Chair, MD, DataIQ, Co-author, Winning with AI

Panel

Sathish Muthukrishnan, Chief Information, Data and Digital Officer, Ally Financial
Diana Schildhouse, Chief Analytics and Insights Officer, Colgate Palmolive

Avinash Tripathi, Vice President of Analytics, University of Phoenix

10.40 - 11.00am EDT: Networking and refreshment break

11.00 - 11.30am EDT: Panel: Delivering value at scale with Gen AI

Moderator

Asha Saxena, Founder & CEO, Women Leaders in Data & AI

Panel

Grace Lee, SVP and Chief Data & Analytics Officer, Scotiabank
Dara Meath, SVP, Chief Technology Officer, Build A Bear

Raj Nimmagadda, Global Head R&D Data Office (CDO R&D) Sanofi

Avinash Tripathi, Vice President of Analytics, University of Phoenix

11.30 – 11.55am EDT: How AI is transforming the real estate market

Sachin Rajpal, Chief Data and Analytics Officer, CoreLogic

11.55 – 12.25pm EDT: A CDO’s Perspective: Getting Your Organization AI Ready

Chandra Donelson, Acting Chief Data and Artificial Intelligence Officer, Department of the Air Force

Nancy Morgan, CEO, Ellis Morgan Enterprises and Former Intelligence Community Chief Data Officer

Carin Quiroga, Chief Data Officer, U.S. Immigration and Customs Enforcement (ICE)

12.25 - 1.30pm EDT: Networking luncheon

1.30 - 1.55pm EDT: Responsible AI

Ellen Nielsen, Former Chief Data Officer, Chevron (former)

As companies harness the transformative potential of artificial intelligence, they will face ethical and practical challenges. How can companies define responsible AI principles aligned with their core values, while creating accountability?

This session will consider:

Addressing responsible AI
Principles for responsible AI
Wrapping AI into existing data governance frameworks and managing the complexity
Communicating and building awareness

1.55 – 2.20pm EDT: AI at scale: Building out an enterprise-grade approach to GenAI

John Lee, Chief Data Officer, NBCUniversal
Ozgur Dogan, President of Solutions and Service Lines, Blend

To fully leverage the potential of generative artificial intelligence in the enterprise, it’s crucial to move beyond mere proof-of-conceptvexperiments. Achieving this involves strategic planning, a laser-sharp focus on defined objectives, assembling the right team, and securing strong executive commitment.

Enterprises often face questions like: Where should we start? How can we effectively address the challenges that come with scaling AI solutions?

This session will consider:

The implications of scaling generative AI for essential business functions.
Examples from various industries that successfully scaled AI initiatives.
Common challenges in scaling AI and strategies to overcome them.
Spotlight Success Story: NBCUniversal’s GenAI Audiences – Powering Audience Segments with Generative AI

2.20 - 3.05pm EDT: Roundtable discussions

Each roundtable will have two moderators. The delegates will rotate to a new roundtable after 45 minutes.

Topics include:

AI and data strategy: What are the main considerations for creating and accelerating an AI and data strategy?
AI ownership: Who should be accountable for AI?
The impact of AI on the CDO and the wider organization
AI transformation: How are you preparing your organization for AI adoption and change management?
Value in AI: How are organizations doing genAI and ML at scale?
Culture: Embedding a successful data and AI culture
Talent acquisition and retention: Where do data leaders find the best talent?
Skills: Mapping skill sets against emerging AI needs.
AI investment: How is the rapid pace of AI tech development challenging data budgets?
GenAI: How does genAI support data ops in a compliant environment?
Sustainability: How do we bring the sustainability (ESG) agenda into the planning of AI?
Regulation: What should organizations do to ensure inconsistent or inadequate regulations don’t hinder responsible AI development?
Governance: What guardrails, if any, should organizations put in place to ensure that their internal AI usage is effectively governed and controlled?
Compliance: How do you prioritize your limited resources to support effective AI and data governance?
Quality: Is data quality the real bottle neck for AI adoption? What are the main issues and how are organizations tackling these?

Moderators:

John Tucker, Director of Enterprise Data Governance, McDonald’s
Yvonne Li, Vice President of Enterprise AI, Data, & Decision Science, Advance Auto
Ash Dhupar, Chief Data Officer, Analog Devices
Manik Gupta, N.A. Chief Analytics and Insights Officer, Bayer HealthCare LLC
Vignesh Shetty, SVP and GM, Digital Health Services, GE Healthcare
Meenakshi Thanikachalam, Executive Head of Data & Analytics (Chief Data & Analytics Officer), Popular Bank
Harveer Singh, Chief Data Officer - Retail, Digital, and Small Banking, Truist
Zwick Tang, Vice President, Data Science and Advanced Analytics , Universal Music Group

Eileen Vidrine, Chief Data & Artificial Intelligence Officer, Department of the U.S. Air Force (former)

3.05 - 3.50pm EDT: Second Round of Roundtables

Attendees rotate to a new roundtable discussion.

3.50 - 4.10pm EDT - Afternoon networking and refreshment break

4.10 - 4.45pm EDT: Panel discussion Gen AI - How to lead business transformation

Moderator
Rob Fuller, SVP, Technology, Blend

Panel
Ido Bigier, EVP, Chief Technology and Digital Officer, Delek

Satya Choudary, VP & Head of Cloud Platform, Data Engineering, Data Science & ML/AI, Credit Suisse

Ronke Ekwensi, Vice President – Data, T-Mobile
Meaghan Ferrigno, Senior Vice President, Chief Data & Analytics Officer & Chief Financial Officer, Destination Canada

It’s believed by many that Gen AI offers unrivalled potential to transform business and industry performance, driving innovation, business revenues and/or cost savings to deliver significant business value and sustainable competitive advantage.

But what areas to focus on? How to scale up in an ethical and secure way? What are the likely hurdles to overcome? Not to mention the people and cultural, or quality data challenges on which success depends.

Our panel of proven data leaders from the DataIQ 100 will share their experiences and advice to address these questions and others from the audience.

4.45 – 5.10pm EDT: Value creation: Taking a value-first approach to AI at Mars

Deepak Jose, Global Head and Senior Director of One Demand Data and Analytics Solutions, Mars Wrigley

Rushing towards the introduction of a disruptive technology like AI is a risk. Having a clear value-first perspective on the benefits to be derived – and the business issues that will be solved – not only mitigates that risk, it enhances the likelihood of success.

In this session Deepak will explore:

How to combine data, analytics and AI for maximum benefit
Why the business problem comes first, not the technology
Where to find the sweet spot between complexity and value

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Day 2 (May 21) DataIQ AI awards

7.00pm EDT: Welcome address

Dress code: celebration attire (smart but not black tie)

7.15pm EDT: Presentation of the AI Awards

8.00pm EDT: AI Awards Dinner & Networking

10.00pm EDT: AI Awards networking reception

Learn more

Day 3 (May 22) Optional charity pickle ball and barbecue

7.15pm EDT: Presentation of the AI Awards

8.00pm EDT: AI Awards Dinner & Networking

10.00pm EDT: AI Awards networking reception

8.45am EDT: Networking breakfast

9.30 – 12.00pm EDT: Charity pickle ball competition and barbecue lunch

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