Enterprises Contain AI Agents to Balance Risk, Reward
Enterprises are experimenting with AI agents internally first, using smaller testing teams and strict governance before deploying customer-facing applications.
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When it comes to AI adoption, some institutions lead with executive strategy, others with faculty experimentation, but all are working through governance, curriculum updates and faculty training.
Read full articleEnterprises are experimenting with AI agents internally first, using smaller testing teams and strict governance before deploying customer-facing applications.
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Software companies Oracle and Drivestream developed a simulated environment for administrators and IT leaders from 15 institutions to see how AI agents could augment university operations.
Google is recasting its data and analytics portfolio as the Agentic Data Cloud, an architecture it says is aimed at moving enterprise AI from pilot to production by turning fragmented data into a unified semantic layer that agents can reason over and act on more reliably at scale. The new architecture builds on Google’s existing data platform strategy, bringing together services such as BigQuery, Dataplex, and Vertex AI, and elevating their capabilities in metadata, governance, and cross-cloud interoperability into what the company describes as a shared intelligence layer. That intelligence layer strategy is underpinned by the new Knowledge Catalog, an evolution of Dataplex Universal Catalog, that the company said uses new capabilities to extend its metadata foundation into a semantic layer mapping business meaning and relationships across data sources. These capabilities include native support for third-party catalogs, applications such as Salesforce, Palantir, Workday, SAP, and Servi
AI agents hold the promise of automatically moving data between systems and triggering decisions, but in some cases, they can act without a clear record of what, when, and why they undertook their tasks. That has the potential to create a governance problem, for which IT leaders are ultimately responsible. If an organisation can’t trace […] The post Agentic AI’s governance challenges under the EU AI Act in 2026 appeared first on AI News.
AI systems are starting to move beyond simple responses. In many organisations, AI agents are now being tested to plan tasks, make decisions, and carry out actions with limited human input. It is no longer just about whether a model gives the right answer. It is about what happens when that model is allowed to […] The post As AI agents take on more tasks, governance becomes a priority appeared first on AI News.
As DoD pushes for fast, flexible procurements, SAP Defense advisor says culture change, governance and data driven decision-making will be keys to success.
Technology leaders report that attempts to scale AI is not meeting expectations. Key barriers include governance, legacy systems, talent, and cultural anxiety. Companies must prioritise reinvention and execution over mere adoption to thrive in the evolving tech landscape.