Leaders in the Atlanta room

AI conference for CIOs · enterprise AI conference · gen AI CIO summit

AI Conference for CIOs 2027 — Enterprise AI Summit

CIO Vision is an AI conference for CIOs: an enterprise AI conference and gen AI CIO summit held in invite-only rooms. An enterprise AI conference should address what happens after a promising demonstration: integration, ownership, evaluation and the cost of running a useful service.

18

rooms this year

742

leaders in the rooms

194

sessions programmed

626

companies in the room

78%

hold budget authority

A day in the room

One room, one full day

Every CIO Vision room follows the same shape, so leaders who join in New York know what to expect in Singapore. The topics change with each city.

  1. CIO Vision room in Atlanta
    09:00

    Arrivals

    Coffee and introductions

  2. CIO Vision room in Atlanta
    09:40

    Vision Talk

    One leader, one big idea, 20 minutes

  3. CIO Vision room in Atlanta
    10:00

    Panels

    Four peer-led panels, unscripted

  4. CIO Vision room in Atlanta
    10:30

    Vision AI Awards

    Recognising work that shipped

  5. CIO Vision room in Atlanta
    13:30

    Roundtable

    An open discussion across the room

  6. CIO Vision room in Atlanta
    16:00

    Working session

    The AI bets you would defend to your board

What is on their agenda

The priorities that set each room's programme

Source: 734 CIO Vision leader profiles with at least one priority theme. Explore all nine themes

Who is in the room

73%

C-suite, heads and VPs

C-suite 27 · Heads 25 · VP 21 · Director 15 · Other 12

72%

at $1B+ companies

34%

from banking, financial services and insurance

BFSI 34%Health 18%Retail 13%Mfg 11%Other 24%
Meet the 742 leaders

In their words

“Great conversations and really interesting use cases, that’s what stood out at CDO Vision. The best part of it all is the human interaction. It’s about not being isolated nodes, it’s about building”
Jesús Barrasa, AI Field CTO at Neo4j
Jesús Barrasa

AI Field CTO · Neo4j · New York

Deepak Kumar, Head of Data Science and AI at Al Futtaim
Kevin Neogy, Group Head of Digital Transformation, AI & Robotics at The Kanoo Group
Orlando Beakbane, Principal Strategic Lead GCC Customer Success, Dubai at Braze
Dr. Hazem Ahmed, Data Science and AI Leader at Emirates
Vladimir Bendikow, Chief Data Officer at FirstBank UK
Effie Kilmer, Chief Data & AI Advisor, EMEA at Microsoft
Joel Lange, EVP & General Manager at Dow Jones
Roxanne Howdle-Rowe, Managing Director, Data & Analytics at British Business Bank
Maria Stefanova, Head of PMO – Artificial Intelligence at International Airlines Group (IAG)
Bini Yoheswaran, Vice President - Data Excellence at choreograph
Sunando Das, Global Head of Predictive Analytics at Unilever
Chris de Gruben, Senior Director, Head of Property & PE at Artefact

Watch

29 films from the rooms

All Vision Talks

Companies represented in past sessions

CIO Vision approaches AI as a leadership and execution agenda, bringing CIOs and enterprise AI leaders into the same room to work through the themes that decide whether AI delivers value in production — agentic systems, data infrastructure, governance at scale, industry-specific deployment and the return on AI investment. Each edition’s agenda is built from these themes, with sessions led by practitioners who run the programmes they describe.

This page is a guide to the conference from the perspective of someone choosing sessions, not collecting swag. It explains how the themes connect to the decisions an enterprise faces this year, what the session formats are designed to surface, and how to read an agenda for the level of discussion you need. The city grid below is drawn from the live 2026–2027 calendar, and every edition links to its own published programme. If you are comparing enterprise AI conferences, start with the theme your organisation is stuck on — then find the room where that theme is on the agenda.

The CIO Vision agenda is organised around the questions enterprises actually debate: where agentic AI is safe to deploy, what data infrastructure a production AI service needs, how governance scales beyond a policy document, and how AI investment is measured against a baseline. These themes recur across editions because they are the constraints leaders keep returning to. A conference session earns its place when it helps a participant reason about one of them with more evidence than they arrived with.

Sessions are built for exchange rather than broadcast. Panels, roundtables and closed discussions give participants room to ask what a speaker deferred, what failed and what the real operating cost turned out to be. Check the published programme of your chosen edition for the specific sessions scheduled; themes are consistent across the series, but each city’s agenda reflects the leaders in that room.

A prototype can make a capability visible without showing the work needed to support it. Enterprise deployment adds requirements for access control, data freshness, observability, escalation and integration with existing workflows. A conference conversation becomes more useful when participants discuss those requirements explicitly. What did the first users need? Who owned an incorrect answer? How did the team decide whether a model-based approach was preferable to a simpler system? These questions connect enthusiasm to operational responsibility.

Generative and agentic AI also change how leaders think about evaluation. A system that produces plausible text or takes actions needs a definition of acceptable performance tied to the task. Leaders can compare approaches to testing, human review and boundaries on autonomy without assuming that one benchmark settles the matter. The relevant discussion is how a company recognises failure and responds to it. That is a different agenda from a product launch or a general survey of AI trends.

An enterprise AI investment case should explain the workflow being changed, the benefit expected and the costs introduced. Model charges are only part of the picture: integration, monitoring, data preparation and support can also matter. Conference participants can usefully compare how they account for those costs and how they distinguish adoption from impact. A large number of users is not, on its own, evidence that an AI service has improved a business process or justified its ongoing expense.

Prepare for the discussion by bringing a practical evaluation question. You might want to know how peers measure time saved, determine when human review is required or retire a pilot that has not delivered enough value. Afterwards, apply the reasoning to your own baseline and constraints. The goal is a more disciplined decision about deployment. It is not to leave with an unqualified endorsement of a vendor, a model family or an approach that has not been tested in your environment.

CIO Vision brings together 50–100 leaders per room for in-person conversations about enterprise technology, data and AI. The purpose of that format is to make peer exchange possible: participants can ask follow-up questions, compare the constraints behind a decision and hear more than a polished presentation. The series is produced by AIM Media House. Each edition has its own event page, where the published agenda, venue information, current attendees and partner details provide a more useful picture than a generic conference promise. Session formats and timings should always be checked against that edition’s programme.

A smaller gathering is not a substitute for every kind of conference. A developer looking for hands-on training, a researcher presenting a paper and an executive reviewing an enterprise operating model have different needs. These pages focus on the executive use case: discussing decisions with people who carry responsibility for implementation. Review the event’s topics before requesting an invitation, and arrive with a question grounded in your organisation’s work rather than an expectation that one agenda will cover the entire AI market.

The series spans 20+ global cities across 2026 and 2027. The upcoming city-event grid on this page is drawn from the live calendar, not a fixed list of assumed destinations. Every listed edition links to its own date, location and event information. This matters when comparing travel plans: two editions in different years or cities can have different attendees, topics and practical arrangements. Use the full calendar to compare options, then open the specific event page before committing to a journey.

Past editions add context that a forthcoming agenda cannot supply. Event galleries show the room, panels and networking, while past highlights and Insights offer material from earlier gatherings. Editions held before August 2026 retain the CDO Vision name; current and upcoming editions use CIO Vision. The change in series name does not erase the previous programme or its participants. Review those records as evidence of the series’ history, not as a guarantee that a particular company or individual will attend a future edition.

Choose the city edition that suits your responsibilities and open its event page. Where Request Invite is available, the internal form asks for professional information, including your organisation, designation and phone number, so the team can understand your role and contact you. Complete the requested details accurately and use the event-specific form rather than assuming an invitation applies to every city. Submitting a request expresses interest; it is not the same as an approved place or a completed ticket purchase.

The organising team reviews requests and follows up about participation. Check the selected event page for any ticket options, deadlines or attendance conditions rather than relying on a blanket price or approval-time claim. If you are considering a commercial partnership, use Partner with us or contact the team at [email protected]. Attending and partnering are different conversations. For a useful invitation request, explain the area you lead and the enterprise data, technology or AI decisions you are working through.

Questions

Recurring themes include agentic AI, data infrastructure for AI, governance and trust at scale, industry-specific deployment and AI return on investment. Each edition publishes its own programme, so check the event page for the sessions scheduled in your city.

Request an invitation

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