Ishit Vachhrajani, Global Head of Enterprise Strategy chez AWS, explique comment les managers peuvent se prémunir contre les écueils de l’IA générative tout en exploitant son immense potentiel.
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Link to The Real AI Power Play: Who Controls Your Enterprise Data Layer? 
The Real AI Power Play: Who Controls Your Enterprise Data Layer?
IT and data teams were promised that AI would make work easier. Instead, it's created new layers of complexity.
Link to Building the Backbone of Agentic AI with Trusted, Context-Rich Data 
Building the Backbone of Agentic AI with Trusted, Context-Rich Data
In this 10-minute take video, Reltio Principal Solutions Consultant Guy Vorster explains how organizations can overcome fragmented data challenges to power AI agents.
Link to IHG scales real-time, trusted data across global brands 
IHG scales real-time, trusted data across global brands
Accelerating time to value while powering data-driven engagement
Link to Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform Infrastructure
Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform Infrastructure
AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented data, weak metadata, slow pipelines, and poor data locality can stall AI projects before models ever reach production.
Link to Jennifer Margules de BMC sur l’orchestration intelligente de l’entreprise
Jennifer Margules de BMC sur l’orchestration intelligente de l’entreprise
Dans cet épisode d’eSpeaks, Jennifer Margles, Director of Product Management chez BMC Software, évoque le passage de l’ordonnancement traditionnel des tâches à l’ère de l’entreprise autonome.
Link to Jennifer Margules von BMC über intelligente Orchestrierung von Unternehmen
Jennifer Margules von BMC über intelligente Orchestrierung von Unternehmen
In dieser Folge von eSpeaks spricht Jennifer Margles, Director of Product Management bei BMC Software, über den Übergang von der herkömmlichen Jobplanung zum Zeitalter des autonomen Unternehmens.
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Latest News - Resources Resource HubsFeatured ResourcesLink to The Real AI Power Play: Who Controls Your Enterprise Data Layer? The Real AI Power Play: Who Controls Your Enterprise Data Layer?IT and data teams were promised that AI would make work easier. Instead, it's created new layers of complexity.Link to Building the Backbone of Agentic AI with Trusted, Context-Rich Data Building the Backbone of Agentic AI with Trusted, Context-Rich DataIn this 10-minute take video, Reltio Principal Solutions Consultant Guy Vorster explains how organizations can overcome fragmented data challenges to power AI agents.Link to IHG scales real-time, trusted data across global brands IHG scales real-time, trusted data across global brandsAccelerating time to value while powering data-driven engagementLink to Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform InfrastructureDell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform Infrastructure
AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented data, weak metadata, slow pipelines, and poor data locality can stall AI projects before models ever reach production.
Link to Jennifer Margules de BMC sur l’orchestration intelligente de l’entrepriseJennifer Margules de BMC sur l’orchestration intelligente de l’entrepriseDans cet épisode d’eSpeaks, Jennifer Margles, Director of Product Management chez BMC Software, évoque le passage de l’ordonnancement traditionnel des tâches à l’ère de l’entreprise autonome.
Link to Jennifer Margules von BMC über intelligente Orchestrierung von UnternehmenJennifer Margules von BMC über intelligente Orchestrierung von UnternehmenIn dieser Folge von eSpeaks spricht Jennifer Margles, Director of Product Management bei BMC Software, über den Übergang von der herkömmlichen Jobplanung zum Zeitalter des autonomen Unternehmens.
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