13-14 May 2027 | Marriott Marquis, Chicago
Where North America’s leading data and AI practitioners turn intelligence into enterprise advantage.
Headline Partner
The 2027 DataIQ 100 Summit will combine plenary discussions with focused tracks, workshops, panels and peer roundtables. Sessions will be led primarily by senior practitioners from the DataIQ 100 North America, supported by a limited number of carefully developed partner contributions.
The agenda will focus on real organizational decisions, practical implementation, measurable outcomes and lessons from work in progress. Detailed session titles and speakers will be announced as the 2027 program develops.
A full conference day with keynotes, panels, tracks, workshops and roundtables.
The DataIQ 100 North America Top 10 Reveal on Level 33.
A focused half-day conference program.
A sit-down lunch, with participants seated across selected partner-hosted tables.
A vendor-light environment designed for practitioner insight and peer conversation.
While we develop this year’s agenda, browse last year’s sessions to see the format and topics covered.
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.
Room: Symphony Ballroom
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Paul Hatley Chief Research and Product Officer DataIQ, Co-author, Winning with AI |
Room: Symphony Ballroom
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Paul Hatley Chief Research and Product Officer DataIQ, Co-author, Winning with AI |
The DataIQ 100 recognizes the leaders shaping the future of data and AI, and in 2026, their focus is clear. This keynote distils the defining priorities emerging from the latest cohort: shifting from experimentation to enterprise-scale execution, embedding responsible AI and governance as foundations, and proving measurable business value at the highest levels of the organization.
Drawing on direct insights from senior data and AI leaders, the session explores how operating models are evolving, why trust and accountability now sit at the center of AI strategy, and what it takes to move from promising use cases to sustained impact. Attendees will leave with a practical, forward-looking view of what data and AI leaders must prioritize in the year ahead, and what will increasingly define success in the C-suite.
Room: Symphony Ballroom
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Ozgur Dogan Co-Founder, President, Americas Blend |
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Deep Ratna Srivastav Chief AI Officer Franklin Templeton |
In this fireside chat with the president of Blend and one of their clients, Franklin Templeton, gain insights into what true agentic orchestration looks like and the real business value realised from it. Unpack the evolution from pilots to successful autonomous AI operating in a real enterprise, and the frameworks that exist to make it happen.
Room: Symphony Ballroom
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Deepak Jose Vice President of Data and Decision Intelligence Niagara Bottling |
Agentic AI promises autonomous, outcome-driven intelligence… but only if organisations can trust what they build. This keynote explores how a strong data foundation, combined with the right cultural shifts, enables AI systems to scale responsibly. It reframes AI transformation as a leadership challenge, where trust, governance, and empowered teams become the true accelerators of impact.
Room: Symphony Ballroom
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Jonathan Goldberg Director, Product Strategy Syncari |
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Carol Vasington Lee VP, Global Data Monotype |
How do you modernize master data management without taking on a long, complex implementation? Monotype connected multiple CRMs and enterprise systems through Syncari’s Agentic MDM platform, using autonomous data cleansing and synchronization to create a more trusted data foundation. By starting with a focused use case and proving value early, they accelerated AI-ready insights, improved data quality, and lowered costs.
As AI investment accelerates, expectations from the C-suite are changing. This keynote focuses on how data and AI leaders are reframing their work around measurable business outcomes, including revenue, efficiency, growth, and customer impact. The session explores how leaders are aligning AI initiatives to strategic goals, communicating value in executive language, and building credibility through results rather than activity.
Room: Symphony Ballroom
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 30 minutes. Come prepared to share your experiences and challenges as we collaborate to build actionable solutions for the future of data leadership.
Room: Symphony Ballroom
How are CDOs handling the balance of innovation alongside rapid changes in a fragmented regulatory environment?
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Jonathan Goldberg Director, Product Strategy Syncari |
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Ursula Cottone Chief Data Officer Huntington National Bank |
AI Literacy & Adoption as a change process: Why strategy alone isn’t enough
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Greg Freeman Founder/CEO Data Literacy Academy |
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Olivia Kew Chief Data Officer Vanderbilt University |
How can you prove the value and measure Agentic AI as you scale?
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Rob Fuller Chief Solutions Officer Blend |
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Shivanku Misra Global Head of Artificial Intelligence & Automation McKesson |
AI needs to understand your business, not just your data — how can the CDO make that happen?
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Mark McQueen Managing Partner, Head of North America Ortecha |
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Ronke Ekwensi Vice President – Global Data Office Applied Materials |
What does a trusted data context foundation really look like in an AI-driven enterprise, and how do CDOs prove it?
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Tonni Bennett SVP of Sales Qualytics |
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Richard Floyd Chief Data Officer CNB |
Upskilling everyone: Building data and AI capability at scale
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Jonathan Cornelissen CEO DataCamp |
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Vijayanand Rajandram Chief Data Officer Northern Trust Asset Management |
How do Chief Data Officers move from pilots to profit?
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Gagan Singh Growth Partner – Insurance and Healthcare, NA Tiger Analytics |
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Deval Motka Vice President – Data Insights Genesco |
Speed without trust is a liability and trust without speed is a bottleneck – how do we safely scale without sacrificing everything we’ve ever known about managing data?
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Yetkin Ozkucur Field CTO Quest Software |
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Kendell Timmers SVP, Data Analytics, Science, and Insights CNN |
From Dashboard Overload to Decision Intelligence: How AI Is Finally Delivering Clarity for Data Leaders
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Yatharth Sejpal CEO KNOWIDEA |
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Goutham Budati VP, Data Strategy and Insights The Farmer’s Dog |
Can we use AI in data foundations to enhance outcomes?
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Phani Kambhampati Senior Director The Coca Cola Company |
This is your chance to network with peers, exchange ideas, and continue building connections in a relaxed, collaborative environment.
Room: Symphony Ballroom
How are CDOs handling the balance of innovation alongside rapid changes in a fragmented regulatory environment?
![]() |
Jonathan Goldberg Director, Product Strategy Syncari |
![]() |
Ursula Cottone Chief Data Officer Huntington National Bank |
AI Literacy & Adoption as a change process: Why strategy alone isn’t enough
![]() |
Greg Freeman Founder/CEO Data Literacy Academy |
![]() |
Olivia Kew Chief Data Officer Vanderbilt University |
How can you prove the value and measure Agentic AI as you scale?
![]() |
Rob Fuller Chief Solutions Officer Blend |
![]() |
Shivanku Misra Global Head of Artificial Intelligence & Automation McKesson |
AI needs to understand your business, not just your data — how can the CDO make that happen?
![]() |
Mark McQueen Managing Partner, Head of North America Ortecha |
![]() |
Ronke Ekwensi Vice President – Global Data Office Applied Materials |
What does a trusted data context foundation really look like in an AI-driven enterprise, and how do CDOs prove it?
![]() |
Tonni Bennett SVP of Sales Qualytics |
![]() |
Richard Floyd Chief Data Officer CNB |
Upskilling everyone: Building data and AI capability at scale
![]() |
Jonathan Cornelissen CEO DataCamp |
![]() |
Vijayanand Rajandram Chief Data Officer Northern Trust Asset Management |
How do Chief Data Officers move from pilots to profit?
![]() |
Gagan Singh Growth Partner – Insurance and Healthcare, NA Tiger Analytics |
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Deval Motka Vice President – Data Insights Genesco |
Speed without trust is a liability and trust without speed is a bottleneck – how do we safely scale without sacrificing everything we’ve ever known about managing data?
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Yetkin Ozkucur Field CTO Quest Software |
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Kendell Timmers SVP, Data Analytics, Science, and Insights CNN |
From Dashboard Overload to Decision Intelligence: How AI Is Finally Delivering Clarity for Data Leaders
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Yatharth Sejpal CEO KNOWIDEA |
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Goutham Budati VP, Data Strategy and Insights The Farmer’s Dog |
Can we use AI in data foundations to enhance outcomes?
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Phani Kambhampati Senior Director The Coca Cola Company |
Room: JW Marriott Rooftop
Be part of the exclusive group of attendees networking with the 2026 DataIQ 100. Enjoy a selection of drinks as we celebrate the achievements of the most influential people in data and AI.
Room: JW Marriott Rooftop
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Adrian Gregory Co-founder DataIQ |
Room: JW Marriott Rooftop
An exclusive first-look at the 2026 list and the new power players across data and AI, including the Top Ten Reveal!
Ready to see Day 1 of DataIQ Summit disappear into a puff of smoke?
Blend360 is hosting an exclusive after party beneath the legendary House of Cards—hidden below the iconic Johnny Cash Museum—where cocktails are crafted, secrets are kept, and magic is very real in Music City.
Just six blocks from the JW Marriott (a quick stroll)… and suddenly, you’re somewhere else entirely.
What’s in the deck:
🃏 Spellbinding handcrafted cocktails & premium mocktails
🍽️ Full food service for lingering, laughing, and late-night bites
🎩 Live magic performances every 30 minutes
✨ Hidden surprises and sleight-of-hand moments around every corner
When: Wednesday, April 29 | 7:30–10:00 PM CDT
Where: House of Cards, Lower Level
119 3rd Ave S, Nashville, TN
All are welcome. Come for the magic, stay for the conversations.
The event starts at 8:00am with registration and breakfast. Take this opportunity to connect with senior data and AI leaders, setting the stage for a day of insightful discussions and networking.
Room: Symphony Ballroom
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Paul Hatley Conference Co-chair DataIQ, Co-author, Winning with AI |
Day 2 focuses on how organisations can make operational decision intelligence a reality. It demands new leadership models, operating structures, governance frameworks, and organisational capabilities that allow intelligence to scale responsibly across the enterprise.
Discussions will explore how data and AI leaders are evolving into architects of enterprise transformation, how CDOs align with C-suite expectations, and how organisations design operating models that translate AI potential into operational impact. Sessions will also examine the role of workforce capabilities, data fluency, governance, and product thinking in enabling intelligence to move from isolated initiatives to enterprise-wide systems.
Room: Symphony Ballroom
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Yuri Aguiar SVP & Chief Technology Officer Tokio Marine North America Services |
What does it take to turn AI ambition into enterprise-wide impact? In this keynote, Yuri Aguiar shares a CTO perspective on how CDOs can enable innovation beyond technology by shaping culture, empowering talent, and building the frameworks that turn ideas into execution.
Through compelling storytelling and practical insight, this session will show how data leaders can move beyond experimentation to deliver sustainable and scalable innovation across the business.
Room: Symphony Ballroom
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Moderator: Asha Saxena Founder & CEO WLDA: World Leaders in Data & AI |
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Anu Krishnan Chief Data & Analytics Officer Chevron |
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Scott Richardson Chief Data & Analytics Officer First Citizens Bank |
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Ido Biger EVP, Chief Information & Data Officer Delek US Holdings, Inc. |
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Chris Satchell Managing Director Tech and Digital CD&R |
The most successful CDO’s understand how to communicate across the C-Suite, but this becomes tricky without understanding truly the motivations of colleagues across the board. In this session, unlock insights into the way members across the C-Suite think, and understand what they need from the CDO.
Room: Symphony Ballroom
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Susan Laine Field Chief Technology Officer Quest |
Many organizations are investing heavily in AI, yet struggle to move beyond isolated pilots. The root cause is rarely the models—it’s fragmented, low‑trust data that slows progress and limits scale.
In this keynote, we explore how organizations can evolve from disconnected data pipelines to trusted, reusable data products that are governed, high‑quality, and AI‑ready. Attendees will learn practical approaches to reducing complexity, increasing data trust, and accelerating delivery across teams. We’ll also show how AI itself can be used to dramatically shorten the cycle—from months to minutes—to reuse, upgrade, create, and share data products across the enterprise, turning AI ambition into measurable outcomes.
Room: Symphony Ballroom
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Amin Venjara Chief Data Officer ADP |
Data platforms only create value when they are designed with clear demand, accountability, and outcomes in mind. In this session, we explore how modern CDOs can apply product thinking to data platforms; shifting from infrastructure delivery to value creation. Through a product lens, this session reframes platform strategy around business impact, adoption and sustained demand, offering practical principles for CDOs navigating scale, complexity, and executive expectations.
This is your chance to network with peers, exchange ideas, and continue building connections in a relaxed, collaborative environment.