InfoWorld AI·
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.
Read full articleDatabricks' rapid AI-driven growth highlights the tension between scaling innovation and maintaining profitability, impacting future investment strategies. The post Databricks sales growth tops 80% as margins shrink from AI costs appeared first on Crypto Briefing.
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.
As enterprises rush to build AI agents that can reason over business data and take action, Databricks argues that the long-standing practice of separating operational and analytical data systems is turning into a liability. That separation, the cloud-based data warehouse provider says, is becoming increasingly strained as AI agents require simultaneous access to live operational data and historical context to make decisions and take actions in real time, unlike humans, who traditionally can work with data that is minutes or hours old. At its annual Data + AI Summit, the data warehouse provider introduced Lake Transactional and Analytical Processing (LTAP), a new architecture designed to unify transactional and analytical data on a single storage layer. The new approach, according to Databricks, differs from traditional online transaction processing (OLTP) and online analytical processing (OLAP) architectures, which typically store operational and analytical data in separate systems. Tr
OpenAI launches the Partner Network, investing $150M to help global partners accelerate enterprise AI adoption, deployment, and transformation.
Databricks has open-sourced Omnigent, a meta-harness that sits above coding agents like Claude Code, Codex, and Pi. It adds composition, contextual policies, and live session sharing under one interface, on terminal, web, desktop, and mobile. The Apache 2.0 project is in alpha. The post Databricks Open-Sources Omnigent: A Meta-Harness That Composes, Governs, and Shares AI Agents Across Claude Code, Codex, and Pi appeared first on MarkTechPost.
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.
Insider Brief PRESS RELEASE — Upriver, an AI-native data engineering platform, has announced it has raised $14 million in seed funding, led by Valley Capital Partners and Hetz Ventures. Already trusted by companies like Unity and DMGT, and with established partnerships with leading data platforms including Databricks and Snowflake, the company has built an agentic platform that […]
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.
