Most companies buy the AI licenses, make the announcement, and wait. Six months later, barely anyone is using them. The tools sit idle, the money drains, and nothing changes. Marcus McGehee has seen this pattern hundreds of times, knows exactly why it happens, and explained how companies can finally fix it.
First came vector databases, then RAG. Now, the next frontier in enterprise AI is taking shape: context layers that give autonomous agents a shared understanding of the business, a vision Databricks is advancing with Genie Ontology.
Currently in preview, Genie Ontology automatically extracts business context from enterprise data, dashboards, queries, pipelines, documents, and applications and organizes it into a living graph that AI agents can use to understand how an organization operates.
Showcased at the company’s Data + AI Summit, Genie Ontology uses a ranking system inspired by Google’s PageRank to identify the most authoritative business definitions within an organization.
Rather than treating all sources equally, it weighs factors including who created the information, how widely it is used, its links to certified datasets and assets, and how recently it was updated before determining which answer an AI agent should rely on, Databricks CEO Ali Ghodsi said during his keynote late
Microsoft's pricing shift to usage-based models may enhance scalability but introduces cost unpredictability and data sovereignty concerns.
The post Microsoft shifts Copilot Cowork to usage-based pricing, considers DeepSeek model for enterprise AI appeared first on Crypto Briefing.
MOUNTAIN VIEW, Calif., June 11, 2026 — Glean’s Work AI Institute has released its inaugural Work AI Index, revealing a growing disconnect at the center of enterprise AI: workers are using […]
The post Glean: Workers Say AI Saves 11 Hours a Week But Lack of Context Is Eating Gains appeared first on AIwire.
Databricks on Wednesday unveiled OpenSharing, a new open protocol designed to let enterprises share AI models, agent skills, dashboards, and unstructured data across platforms without having to copy or move those assets.
That sharing is made possible by OpenSharing’s zero-copy credential vending model that allows recipients to securely access shared assets directly from a provider’s cloud storage using temporary, scoped credentials rather than requiring the assets themselves to be copied, moved, or replicated, the company wrote on its GitHub page.
Reducing the integration tax of enterprise AI
The ability to share AI assets without creating duplicate copies could help reduce integration complexity, improve governance, and limit the operational overhead associated with operationalizing AI systems across environments for CIOs, said Ashish Chaturvedi, leader of executive research at HFS Research.
“Every organization building AI, such as multi-agentic systems, is hitting the same wall, i.e.
TCS's strategic move with Anthropic could redefine AI integration in regulated sectors, enhancing innovation but posing execution challenges.
The post TCS partners with Anthropic to enhance enterprise AI solutions across regulated industries appeared first on Crypto Briefing.
While AI is proliferating across the workplace, it is introducing a new productivity paradox: While the technology makes work feel faster, it actually pushes more burden onto employees to provide context, perform quality checks, then rinse and repeat across numerous disparate tools.
This, according to a new survey of 6,000 full-time digital workers by Glean’s Work AI Institute, results in two emerging behaviors: “botsitting,” all the unrecognized work that goes into making AI actually usable; and “botshitting,” shipping AI-generated work that is unverified, not that well understood, or perhaps not even trustworthy. The survey report was co-authored by experts from Work AI Institute, Emory University, Stanford University, UC Berkeley, UC Santa Barbara, UNC Charlotte, University College London, and University of Notre Dame.
“It’s definitely in many ways a vicious cycle that feeds itself,” said Rebecca Hinds, head of Glean’s research center the Work AI Institute, a research collaborative
Microsoft's restriction highlights the tension between AI safety measures and corporate data privacy, impacting enterprise AI adoption.
The post Microsoft limits employee access to Anthropic’s Claude Fable 5 over data retention concerns appeared first on Crypto Briefing.
