The ink is barely dry on generative AI and AI agents, and now we have a new next big thing: agentic AI. Sounds impressive. By the time this article comes out, there’s a good chance that agentic AI will be in the rear-view mirror and we’ll all be chasing after the next new big thing. […]
The post Mind the Gap:Â Agentic AI and the Risks of Autonomy appeared first on DATAVERSITY.
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Author: Mark Cooper
Agentic AI represents a significant evolution beyond traditional rule-based AI systems and generative AI, offering unprecedented autonomy and transformative potential across various sectors. These sophisticated systems can plan, decide, and act independently, promising remarkable advances in efficiency and decision-making. However, this high degree of autonomy, when combined with poorly governed or flawed data, can lead […]
The post The Data Danger of Agentic AI appeared first on DATAVERSITY.
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Author: Samuel Bocetta
The enterprise AI landscape has reached an inflection point. After years of pilots and proof-of-concepts, organizations are now committing unprecedented resources to AI, with double-digit budget increases expected across industries in 2025. This isn’t merely about technological adoption. It reflects a deep rethinking of how businesses operate at scale. The urgency is clear: 70% of the software used […]
The post Beyond Pilots: Reinventing Enterprise Operating Models with AI appeared first on DATAVERSITY.
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Author: Gautam Singh
As agentic AI and autonomous systems transform the enterprise landscape, organizations face a new imperative: Fundamentally reimagining data architecture is no longer optional; it’s required for AI success. Many enterprises are coming to the realization that traditional data architectures, which are built for structured data and deterministic workloads, are ill-equipped to support agentic AI’s demands […]
The post Reimagining Data Architecture for Agentic AI appeared first on DATAVERSITY.
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Author: Tami Fertig