EVENTS

Summit North America
Agenda

12-13 May 2025
Nashville, USA

DATA AND AI: MOVING TO THE MAINSTREAM!

Data and AI are no longer emerging technologies—they are critical to the future of every business. But turning potential into impact isn’t straightforward. Success relies on overcoming challenges like limited buy-in, unpredictable funding, compliance barriers, and scaling issues, while simultaneously fostering collaboration and driving engagement.

The DataIQ Summit US is designed to help data and AI leaders navigate this journey, providing the tools, insights, and connections to move data and AI into the mainstream of business operations.

 

At this year’s Summit, you will:

  • Learn from dynamic brand-side keynote speakers and leading solution providers.
  • Hear senior CDOs and CAIOs share practical approaches to solving real-world problems.
  • Join interactive knowledge exchange roundtables to collaborate with your peers on pressing challenges.
  • Leave equipped with actionable strategies to transform your organization.

 

PLUS:

  • Celebrate data and AI excellence at the 2025 Data & AI Awards, network with the finalists and winners.
  • Learn who made 2025’s DataIQ100 list and watch the Top 10 Reveal live as we countdown to our most influential data & AI leader.

Day 1
Conference

Monday May 12

 

1.00 – 2.00pm – Registration and Lunch

The event starts at 1:00pm with registration and lunch. Take this opportunity to connect with senior data and AI leaders, setting the stage for a day of insightful discussions and networking. 

2.00 – 2.15pm – Welcome and Introduction

 

Richard PopeCEODataIQ Conference Co-chair
Richard Pope, CEO
DataIQ
Paul HatleyMDDataIQ Conference Co-chair
Paul Hatley, Co-author, Winning with AI, Managing Director
DataIQ

2.15 – 2.40pm – Fireside chat: Navigating the evolving role of the CDO in the age of AI

Explore how the role of the CDO is evolving in the age of AI and digital transformation. Gain insights from into the strategic priorities, challenges, and opportunities facing CDOs today. Find out how Amy is driving innovation, aligning stakeholders, and embedding data as a critical enabler of business success within Capital One.

Amy Lenander Chief Data Officer Capital One

Amy Lenander
Chief Data Officer
Capital One

 

Moderator:

Randy BeanTLDataIQ Randy Bean
Author, Thought Leader and DataIQ Advisor

2.40 – 3.00pm – Keynote: Scaling AI: Turning Promising Models into Sustainable Solutions

In this session, explore the latest market trends and actionable strategies for scaling AI initiatives. Learn how to transform promising AI models into sustainable, impactful solutions that drive long-term success. Unlock best practices, common pitfalls, and key considerations for navigating the complex landscape of AI transformation.

 

Ashish Verma Deloitte

Ashish Verma

US Chief Data and Analytics Officer

Deloitte

 

3.00 – 3.05pm – Knowledge Exchange Introduction

Each Knowledge Exchange roundtable will focus on an expertly curated scenario designed to address a challenge facing data leaders. Choose two tables based on the scenarios which most resonate with you. There will be two rotations, and each discussion will last 40 minutes. Come prepared to share your experiences and challenges as we collaborate to build actionable solutions for the future of data leadership.

 

Paul HatleyMDDataIQ Conference Chair
Paul Hatley, Co-author, Winning with AI, Managing Director
DataIQ

 

 

How do I accelerate AI / Gen AI readiness adoption by getting Data ready?

Sagar25

Sagar Paul
Senior Vice President Enterprise Sales & Solutions
Modern

Amy Grace Vice President Data Science Analytics Otis Elevator Co Amy Grace
VP, Data Science & Analytics
Otis

 

The Future CDO: Data, AI, or Both? – As AI reshapes leadership roles, how is the Chief Data Officer evolving in the enterprise?

Meaghan24AI 1 Meaghan Ferrigno
Senior Vice President & Chief Data and Analytics Officer
Destination Canada

AI Ethics and Governance at Scale – What frameworks and strategies are needed to ensure responsible and explainable AI adoption across the business?

Sam Ramachandran Tiger

Sam Ramachandran
Chief Sales Officer
Tiger Analytics

Vishal Puri Tiger

Vishal Puri
Practice Head – VP, Data and AI Solutions Group, North America
Tiger Analytics

From Legacy to AI-Driven Data Strategy – How are companies overcoming legacy challenges to enable AI-powered decision-making at scale?

Erin Miller LP

Erin Miller
Client Service & Strategic Partnerships
Logic Pursuits

Deepak Jose Vice President %E2%80%93 Head of Data Sciences Business Intelligence Data Analytics Niagara Bottling Deepak Jose
Vice President – Head of Data and Decision Intelligence
Niagara Bottling

 

The Rise of AI-Generated Insights – With AI now analyzing and interpreting data, what role remains for human expertise?

RobBlend25

Rob Fuller
Chief Solutions Officer
Blend

Saqibjp25

Saqib Malik
Managing Director – Global Technology Strategy
JPMorgan Chase

 

AI vs. Data Teams: New Operating Models – How are organizations structuring data, AI, and engineering teams to maximize collaboration and impact?

Vijayanand Rajandram Chief Data Officer Northern Trust Asset Management Vijayanand Rajandram
Chief Data Officer
Northern Trust Asset Management

The GenAI Revolution: Real-World Use Cases – What practical AI applications are delivering measurable success in customer experience, operations, and analytics?

Ash25

Ash Dhupar
Chief Data and Analytics Officer
Analog Devices

Beyond Chatbots: AI in the Enterprise – Where is AI making a meaningful impact beyond automation, and what’s next for AI-enabled decision intelligence?

Avinash24AI 1 Avinash Tripathi
Vice President of Analytics
University of Phoenix

Monetizing Data in an AI World – As AI transforms data into a strategic asset, how are businesses unlocking new revenue opportunities?

Ashish Verma Deloitte

Ashish Verma
US Chief Data and Analytics Officer
Deloitte

Mike Vaughn Chief Data Officer Brown Brown Insurance Mike Vaughan
Chief Data Officer
Brown & Brown Insurance

Future-Proofing Your AI and Data Stack – What tech investments and strategies will ensure long-term AI scalability and flexibility?

Bharathi Swire

Bharathi Rajan
Vice President
Swire Coca-Cola

RandyQ25

Randy Rouse
Field CTO
Quest Software

3.05 – 3.45pm – Knowledge exchange #1

3.45 – 4.05pm – Break

4.05 – 4.45pm – Knowledge exchange #2

4.45 – 5.00pm – Knowledge exchange summary

5.00pm – Finish

Evening

Monday May 12

DataIQ 100 Live Reveal

5.45 – 6.30pm – Networking Reception

6.30 – 6.40pm – Welcome address

Adrian GregoryCEODataIQ Adrian Gregory
Co-founder
DataIQ
Adam Mincham SVP of GTM Strategy Blend Adam Mincham
Chief Marketing Officer
Blend

6.40 – 7.10pm – The DataIQ 100 & Top 10 Reveal

An exclusive first-look at the 2025 list and the new power players across data and AI, including the Top Ten Reveal.

Susan Feigenbaum SVP North America DataIQ Susan Feigenbaum
SVP North America

DataIQ
Adam Mincham SVP of GTM Strategy Blend Adam Mincham
Chief Marketing Officer
Blend

7.30pm – Finish

Day 2
Conference

Tuesday May 13

DataIQ Summit

8.00 – 9.00am – Registration and Breakfast

9.00 – 9.15am – Welcome and Introduction

For the first time, the 2025 edition of the DataIQ 100 captures fundamental data and intelligence on how data offices are structured, staffed and service their stakeholders. This evidence set offers critical insights into the way data offices are set up, from the ratio of staff to their operating model, from proximity to the C-suite to the level of data maturity.


In this session, Paul will unveil the insights gained from this data set and the models it offers to all CDOs considering the right size, shape and impact they should pursue.

 

Paul HatleyMDDataIQ Conference Chair
Paul Hatley, Co-author, Winning with AI, Managing Director
DataIQ

9.15 – 9.40am – Keynote: AI-Driven Data Strategy: Balancing Innovation and Risk for Value

A successful data strategy is deeply connected to business strategy and must balance both offensive (value-driven) and defensive (risk-driven) approaches. Hear from this top ranking CDO how, by proactively integrating innovation- such as leveraging GenAI for value creation- with robust safeguards like privacy by design, organizations can unlock greater value for investors while ensuring resilience and trust.

 

Ryan Swann CDAO Vanguard

Ryan Swann

Chief Data Analytics Officer

Vanguard

9.40 – 10.05am – Fireside chat: Beyond POCs: Mastering Scalable AI Implementation

Discover how leading organizations are overcoming the staggering 90% failure rate of AI initiatives by reimagining implementation through the proven “Critical 7” framework. Join Oz Dogan and Tracy Hewitt as they share battle-tested strategies for transforming proofs-of-concept into enterprise-grade production systems that deliver measurable ROI. Learn how to secure essential executive sponsorship, build talent capacity for scale, and leverage generative AI to solve persistent data challenges that have historically consumed 80% of analytics resources.

This conversation will explore how forward-thinking leaders are abandoning linear thinking to create AI factories that enable parallel execution, breaking free from historical constraints to reimagine what’s possible in the age of AI.

 

Ozgur Dogan President of Solutions and Service Lines Blend

Ozgun Dogan

Co-Founder & President

Blend

Tracy Hewitt Echostar

Tracy Hewitt

Vice President, Data/AI Products and Monetization

EchoStar Corporation

10.05 – 10.30am – Keynote: Maximizing ROI: A Strategic Investment Framework for Data Leaders

In this session, Bhagyesh will uncover strategies on how analytics-led businesses can maximise ROI, efficiency and productivity to break down data silos and create seamless integration across their organizations. Learn how Starbucks have turned fragmented data into actionable insights that fuel innovation and drive decision-making.

 

Bhagyesh Phanse VP Data Science Analytics Starbucks Coffee Company

Bhagyesh Phanse

Chief Data and Analytics Officer

Starbucks Coffee Company

10.30 – 11.00am – Morning networking and refreshment break

11.00 – 11.15am – Research Exchange: The future of data leadership

Explore the evolving landscape of data leadership in an AI-driven world, based on insights from Randy’s annual Data & AI Executive Research Report. Hear how data leaders are adapting to challenges, fostering innovation, and aligning strategies with business goals. These exclusive findings will be revealed for the first time at this event, offering actionable insights for success.

 

Randy BeanTLDataIQ Randy Bean
Author, Thought Leader and DataIQ Advisor

11.15 – 11.50am – Panel Exchange: Delivering business value with data & AI in 2025 and beyond

Join influential data leaders as they share actionable strategies for leveraging data and AI to deliver lasting business value. Explore emerging trends, leadership principles, and transformative approaches that will define success in the years ahead. This session will equip you with practical insights to future-proof your data initiatives and lead your organization with confidence throughout 2025 and beyond.

 

Moderator:

Randy BeanTLDataIQ Randy Bean
Author, Thought Leader and DataIQ Advisor

 

 

Panelists:

Ido Bigier EVP Chief Technology and Digital Officer Delek

Ido Biger
Executive Vice President, Chief Technology and Digital Officer
Delek

Krishna Cheriath Chief Digital Officer Thermo Fisher Krishna Cheriath
Chief Digital Officer
Thermo Fisher
Diana24Sum2

Diana Schildhouse
Chief Data, Analytics, & Insights Officer
Colgate Palmolive

Margery Connor 1 Margery Connor
Chief Data and Analytics Officer
Chevron

11.50 – 12.15pm – Keynote: Connect the Dots in Data & AI: From Risk to Responsibility at Scale

AI is only as powerful—and as safe—as the data it’s built on. In this keynote, we’ll explore what it really takes to drive responsible AI across the enterprise: connecting the dots between data governance, security, compliance, and AI innovation. From shadow AI and model sprawl, to regulatory pressure and trust gaps, today’s data and AI leaders are navigating new challenges with no playbook.

This session will unpack the real-world risks, reveal the blind spots, and offer a practical framework for closing the gap between ambition and accountability. Hear how leading organizations are managing AI risk at scale—by rethinking the role of data, aligning governance with innovation, and building a foundation for AI that’s as secure as it is smart.

 

Dimitri Sirota CEO Co Founder of BigID

 

Dimitri Sirota

CEO & Co-Founder

BigID

12.15 – 1.15pm – Lunch and Networking

Track Sessions

Track 1
Transforming Business with Data and AI Solutions

Track 2:
Advanced Strategies for Overcoming Data and AI Challenges

1.20 – 1.50pm – Track Sessions A

1A: AI-Powered Decision-Making: From Insights to Action

AI and advanced analytics are reshaping business strategy, but unlocking their full potential requires more than just data. This session explores how organizations can move from AI-generated insights to real-time, impact-driven decisions. Discover best practices for embedding AI into workflows, ensuring model trustworthiness, and getting leadership buy-in for AI-driven transformation.

Jim Brownson SDG

Jim Brownson

Head of AI

SDG Group USA

2A: Agents Missing in Action: Hard Truths About AI’s Next Chapter

 A year into the adoption of Gen AI agents, how far have organizations come in building agents? During this session, Austin Cook, RVP Solutions Engineering and Customer Experience will break down the novel challenges of developing agents at the individual and organizational levels. From the bottom-up technology to the top-down strategy, what are the blockers for agentic success? How can organizations not only build effective agents, but ones intended to scale?

 

 

Austin Cook Dataiku

Austin Cook

Regional VP of Solutions Engineering & Customer Experience

dataiku

1.55 – 2.25pm – Track Sessions B

1B: Beyond Automation: How Next Generation AI-powered Solutions are Reshaping Business Models

AI is no longer just a tool for automating routine tasks—it is fundamentally transforming how businesses operate, compete, and create value. This session explores how leading organizations across industries are using the next generation of AI-powered platforms for mission critical needs at scale including increasing fraud detection, unlocking new revenue streams, delivering hyper-personalized customer experiences, and reinventing traditional business models.

 

RajeevTG

Rajeev Shrivastava

Chief Executive Officer

TigerGraph

2B: Decision-Making in the Age of AI with Security at the Helm

AI is accelerating decision-making like never before, but speed without security risks everything. This interactive session explores how to design responsible AI systems that protect what matters most: our data and our people. Join Sol Rashidi, Best-Selling Author and Cyera’s Chief Strategy Officer for Data and AI, for a discussion on how leading with security at the core, ensures that AI enhances trust, safeguards human capital, and empowers better decisions without compromising integrity.

 

 

Sol Rashidi Cyera

Sol Rashidi

Best-Selling Author & Chief Strategy Officer – Data & AI

Cyera

2.25 – 2.45pm – Afternoon networking and refreshment break

2.45 – 3.05pm – Keynote: From Data to Destination: How We Embedded AI into the Heart of Canadian Tourism

What if AI didn’t just streamline operations, but redefined how a nation understands its places and its people? Discover how Destination Canada turned a bold idea into a national data platform that delivers real-time insight, reshapes how destinations are seen and experienced, and puts intelligence in the hands of thousands of communities and businesses. Built in response to pandemic recovery, the platform now plays a central role in Destination Canada’s 2030 strategy. This is AI as infrastructure – designed for adoption, built with the sector, and delivering measurable ROI at national scale.

 

Moderator:

Meaghan24AI 1

Meaghan Ferrigno
Senior Vice President & Chief Data and Analytics Officer
Destination Canada


 

3.05 – 3.40pm – Panel Exchange: Data & AI: Moving to the mainstream?

Hear from an expert panel featuring leaders from the DataIQ 100 as they explore what it truly takes to bring data and AI into the mainstream of business operations. Hear insights on overcoming barriers to adoption, driving cultural change, and delivering measurable business value. This session will uncover real-world experiences, innovative strategies, and bold visions for embedding data and AI at the heart of organizational success.

 

Moderator:

Randy BeanTLDataIQ Randy Bean
Author, Thought Leader and DataIQ Advisor

 

 

Panelists:

AndreMichelVargas

André Vargas
Chief Data Officer
Creative Arts Agency

Tom Henry Chief Data and Deputy Chief Information Officer Schnucks Tom Henry
Chief Data and Deputy Chief Information Officer
Schnucks

Bharathi Swire

Bharathi Rajan
VP – Data & Insights
Swire Coca-Cola, USA

Luke Gee

Luke Gee
Chief Analytics and
 AI Officer
TD

3.40 – 3.45pm – Summit Wrap up

Paul HatleyMDDataIQ Conference Chair
Paul Hatley, Co-author, Winning with AI, Managing Director
DataIQ

3.45pm – Finish

Evening

Tuesday May 13

DataIQ Awards Americas

7.00 – 7.30pm – Drinks Reception

7.30 – 9.00pm –Dinner

9.00 – 10.30pm – Awards ceremony

 

Susan Feigenbaum SVP North America DataIQ

Susan Feigenbaum
SVP North America
DataIQ

 

Stream 1: Innovation

  • Transformation with Data & AI  – Client Side 
  • Transformation with Data & AI  – Solution Provider
  • Best Responsible AI program or initiative  
  • AI-enabling solution of the year  – Solution Provider
  • AI-enabling solution of the year  – Client Side
  • Most innovative use of AI  – Solution Provider
  • Most innovative use of AI  – Client Side

 

Stream 2: Data and AI for Good  

  • Data and AI For Good Champion 
  • Environmental, Social, and governance (ESG) Data & AI award  
  • Data and AI For Good Hero Organization Award 
  • Best Use of Data & AI for Healthcare Award 

 

Stream 3: People and Culture 

  • Best Data & AI team  
  • Data and AI leader of the year  – Solution Provider
  • Data and AI leader of the year  – Influencer
  • Data and AI leader of the year  – Client Side
  • Best Place to Work in Data and AI – Solution Provider 
  • Best Place to Work in Data and AI – Client Side 

 

Grand Prix Award