Data

CDAO New York

The leading meeting place for New York’s data and analytics community—spotlighting leadership, innovation, and real-world transformation stories.

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30Speakers
0Sponsors
18On the bill · sessions
27Companies · in total
§I

Speakers

Programmed at CDAO, in alphabetical order.
Aggie Prakash
AI Integration Specialist · MCKINNEY
Ahmed Munir
Principal Enterprise Architect · CHARTER COMMUNICATIONS
Andrew Patricio
Chief Data and AI Officer · UNIDOSUS
Anu Sundaram
Vice President Business Analytics · RUE GUILT GROUPE
Bin Yu
VP of AI & Data · STARBUCKS
Bin Yu, Ph.D.
VP of AI & Data · STARBUCKS
Bipin Kanukaran
Vice President, Chief Data & Analytics Officer · ATLANTIC HEALTH
Bipin Karunakaran
Vice President, Chief Data & Analytics Officer · ATLANTIC HEALTH
Dino Cataldo Dell'Accio
Deputy Chief Executive · UNITED NATIONS JOINT STAFF PENSION FUND
Drew Smith
Chief Data and Analytics Officer (former) · OHIO HEALTH
Dr. Ram Singh
Chief Performance Media Officer · NIGHT MARKET
Elena Alikhachkina
Chief Data and AI Officer · TE CONNECTIVITY
Ferhat Yilmaz
Director - Enterprise and Pipeline Insights & Analytics · NOVARTIS
Goutham Budati
VP of Data Strategy and Insights · THE FARMER’S DOG
Harish Vundavalli
Senior Information Technology Architect · STRATEGIC EDUCATION INC.
Jessica Hogue
Chief Data Officer, Consumer Media · HEARST
Linda Hermer
Chief Data Strategy Officer · AMMON LABS
Lovedeep Saini
Chief Analytics Officer · CONNER STRONG & BUCKELEW
Mitesh Shah
Chief Data Officer · CARDWORKS
Nicholas Aquilino
FVP, Head of Data Analytics and Workflow Automation · APPLE BANK
Nishit Dhilen Mehta
Vice President, Analytics Solutions Manager · JPMORGAN CHASE
Raghuvaran Reddy Kalluri
Solution Architect & Data Owner · ROYAL BANK OF CANADA
§III

Agenda

Selected from 18 sessions on the bill.
  • 10:00 AM

    KEYNOTE: Is your Enterprise Data Ready to Scale Analytics and AI?

    Identifying the architecture maturity gaps preventing organizations from scaling analytics and AI. Strengthening core capabilities to create reliable and scalable data foundations.…

  • 11:00 AM

    DISCUSSION GROUP: What Makes Data Trustworthy? Data Observability and Reliability Engineering

    This ‘Ask Anything’ session is designed for open exchange — bring your challenges, compare approaches, and leave with practical ideas you can apply immediately. Discussion points: …

    TRACK A: Enterprise Data Strategy
  • 11:00 AM

    PANEL: Designing Enterprise Data Strategy That Delivers Measurable Business Value

    How do CDAOs prioritize enterprise data investments to support business objectives? The importance of aligning data strategy with broader organizational strategy and operational go…

    TRACK B: Executional Excellence
  • 11:45 AM

    ROUNDTABLE A: Can I Trust My Data? Implementing Trust Frameworks Across Regulated Industries

    Governance and accountability frameworks that improve enterprise data trust. Practical approaches for measuring and maintaining data quality at scale. Embedding trust mechanisms in…

    TRACK A: Enterprise Data Strategy
  • 11:45 AM

    ROUNDTABLE B: Who Decides? Establishing Clear Decision Authority Across the AI Lifecycle

    Defining decision ownership across data, AI, and business teams. Governance structures that clarify accountability without slowing innovation. Aligning leadership roles to support …

    TRACK A: Enterprise Data Strategy
  • 11:45 AM

    ROUNDTABLE C: The Executive Playbook for Building an Intelligent AI Program

    How structured refinement & approval processes unlock insights across AI initiatives. Turning fragmented AI efforts into a connected system of reference. Using program-level intell…

    TRACK B: Executional Excellence
  • 1:30 PM

    CASE STUDY: From Data Pipelines to Trusted AI — Building ISO-Aligned Foundations for Auditable AI Systems

    Why AI trust begins at the data pipeline level — not at the model. How to design data flows that are traceable, auditable, and aligned with emerging global standards. The role of m…

    TRACK A: Enterprise Data Strategy
  • 1:30 PM

    PANEL: Speaking the Board’s Language — Turning Data into Executive Decisions

    How can leaders translate data and AI outcomes into business metrics that resonate with the board? What storytelling frameworks help communicate the strategic value of data investm…

    TRACK B: Executional Excellence
  • 2:05 PM

    TRACK KEYNOTE: Rethinking the Enterprise Data Operating Model

    What operating model best supports scalable enterprise data and analytics delivery? How should organizations define ownership across data products, engineering, analytics, and busi…

    TRACK B: Executional Excellence
Intermission
Part the Second · For the Buyer

An audience of 27 companies, parsed from the program.

27 companies in attendance.

The numbers below are derived from the speakers, sponsors, and exhibitors on this page — cross-referenced into one ledger. They are the only thing here that 10times.com cannot tell you.

Who's in the room
0All threespeak · spons · exh
0Sponsoringsponsor only
27Companies Speakingspeaker only
Speakers by seniority

83% of the speakers carry senior titles — C-suite, Founder, VP, or Director-level.

  • C-suite1240%
  • Founder / Owner13%
  • VP-level620%
  • Director / Head of620%
  • Manager / Lead27%
  • Engineer · IC27%
  • Other roles13%

Of 30 on the bill · classified by free-text title

Most-represented companies
  1. 01ATLANTIC HEALTH2V
  2. 02Kenvue2V
  3. 03Starbucks2V
  4. 04AlignAI1V
  5. 05AMMON LABS1V
  6. 06APPLE BANK1V
  7. 07BLUE CROSS BLUE SHIELD OF MASSACHUSETTS1V
  8. 08Boehringer Ingelheim1V
  9. 09CARDWORKS1V
  10. 10CHARTER COMMUNICATIONS1V
  11. 11CITY NATIONAL BANK1V
  12. 12CONNER STRONG & BUCKELEW1V
  13. 13FLEXOR AI1V
  14. 14Hearst1V
Sponsors by tier

Tiers were not disclosed for this event.