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.
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:
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.
Whether you're evaluating AI initiatives, improving data governance, or modernizing your data architecture, the same questions keep emerging:
Meet with Rocket experts to discuss practical approaches to data trust, lineage, governance, real-time data access, and modernization.
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.
IDC Spotlight Paper zur KI-Modernisierung im Bankwesen
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.
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.
