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​​IDC AI & Data Summit 2026​

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Most organizations don't have an AI problem. They have a data confidence problem.

Organizations are investing heavily in AI, yet many initiatives still struggle to move beyond pilots. The challenge is rarely access to AI tools. More often, it's fragmented data, inconsistent definitions, governance concerns, and limited confidence in the information behind AI-generated recommendations.

Join Rocket Software at IDC AI & Data Summit to explore practical approaches for improving data trust, governance, lineage, and real-time access across complex environments, so teams can make decisions with greater confidence and move AI initiatives into production.

Veranstaltungsdetails

September 17, 2026

8:30am - 5:30pm CT

Chicago, Illinois

IDC Chicago
Moderatoren
Profilbild von Ray Sullivan
Ray Sullivan
Vizepräsident
Product Management, Data Modernization

Exclusive Executive Roundtable

Why AI Projects Stall: The Data Problems We Still Haven't Solved

Organizations are no longer asking whether to use AI. They're asking why AI initiatives continue to struggle with data quality, ownership, governance, trust, and access.

Join a small-group discussion with peers exploring what AI readiness really means, which data challenges are slowing adoption, and what practical steps organizations are taking to build confidence in AI-driven decisions.

Themen sind unter anderem:

  • What prevents AI initiatives from moving beyond pilots?
  • How do you define AI readiness?
  • What data foundations are required for trusted AI agents?
  • What gives leaders confidence in AI-driven decisions?

 

Featured Fireside Chat

Trusted Data in an Agentic AI World: What Leaders Must Get Right Before They Scale

12:30 PM | Ray Sullivan, VP Product Management

Organizations are discovering that the biggest obstacle to AI adoption isn't model capability. It's confidence in the data behind AI-generated recommendations and actions.

Join Rocket Software and IDC analyst Marlanna Harrington for a discussion on the data foundations required for trusted decision-making, including governance, lineage, context, and real-time data access. Learn what separates organizations that successfully operationalize AI from those that remain stuck in pilot mode.

Space is limited. Sign up today.

 

Why meet with us?

Whether you're evaluating AI initiatives, improving data governance, or modernizing your data architecture, the same questions keep emerging:

  • Can we explain where our data came from?
  • Can we trust the information being used in reports, analytics, and AI?
  • How do we connect data across mainframe, cloud, and distributed environments?
  • What must be true before AI can support business decisions with confidence?
  • How do we improve data readiness without launching another multi-year data program?

Meet with Rocket experts to discuss practical approaches to data trust, lineage, governance, real-time data access, and modernization.

 

Let's talk about your AI readiness strategy

If you’re working to move AI beyond pilots, improve confidence in AI-generated insights, or build stronger data foundations for future initiatives, stop by the Rocket table and continue the conversation. 

Verwandte Inhalte

Insight

Von Datensilos zu Strategien: Das wahre Potenzial von Daten freisetzen

Insight

IDC Spotlight Paper zur KI-Modernisierung im Bankwesen

Insight

Vom KI-Hype zur operativen Exzellenz

Whitepaper

Der Datenvorteil: Warum Aufzeichnungssysteme den KI-Wettlauf entscheiden werden

In diesem Beitrag wird untersucht, warum die nächste Phase des KI-Wettbewerbs nicht durch Modellauswahl, sondern durch Datendifferenzierung entschieden wird.

Webinar

Die 5 größten Herausforderungen für Datenteams aktuell

Join Ray Sullivan and Greg Wilson of Rocket Software and CIO.com's Tom Schmidt as they unpack the five issues stalling data teams today, and what's really behind them.