To best understand how bumbling bureaucracies are born, you need look no farther than the Internet Corporation for Assigned Names and Numbers, that band of merry pranksters who administer top-level domains. Decisions made in a vacuum, zero oversight, a tin ear to constituents and a blithe disregard for its own public image — its all there in a single marvelous microcosm. ICANN wins a 2001 Razzie for its uncanny ability to create and perpetuate controversy, even while dealing with one of the most arcane subjects in creation. Late last year, it earned extra points for finally picking new global TLDs in a way that raised blood pressures around the planet. Forty-four groups paid ICANN $50,000 a pop to suggest new names. But only seven name applications were ultimately chosen in a process that was arbitrary at best — one name, dot-iii, was rejected, in part, because it sounded funny. Also razworthy: ICANN still hasnt delivered on its promise to fill four empty seats on its board with general Internet users.

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.

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.

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 Infrastructure
Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform InfrastructureAI 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’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 Unternehmen
Jennifer 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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