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.
Collaboration spans memory and storage AI architecture design, supply agreement, enterprise AI adoption and a strategic investment BOISE, Idaho, June 22, 2026 — Micron Technology, Inc. today announced a strategic […]
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The collaboration enhances global AI deployment efficiency, offering secure, scalable infrastructure, and fostering innovation in enterprise AI.
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Databricks' choice to remain private highlights a strategic shift in tech firms prioritizing long-term growth over immediate public market pressures.
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Five months after returning to OpenAI, Barret Zoph - the company's head of enterprise AI sales - has departed, The Verge has learned.
Zoph returned to OpenAI in mid-January after a stint as co-founder and CTO of Thinking Machines Lab, the competing AI company founded by former OpenAI CTO Mira Murati. Shortly after Zoph returned to OpenAI, the company said he would lead its push into enterprise - a significant role at OpenAI, since in recent months it had vowed to stop chasing so-called "side quests" and focus on key revenue drivers like enterprise and coding ahead of its planned IPO.
OpenAI confirmed to The Verge that Zoph will be depart …
Read the full story at The Verge.
OpenAI's rapid model iteration and Pro variant testing could reshape enterprise AI applications, intensifying competition and pricing strategies.
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Databricks is pitching a fix for what it sees as the growing operations mess in enterprise AI. With the launch of Genie ZeroOps, unveiled at its Data + AI Summit, the company is targeting a problem many data teams know too well: it’s no longer building pipelines and models that hurts, it’s keeping them running.
As data estates sprawl and AI workloads multiply, engineering time is increasingly eaten up by maintenance. Meanwhile, AI coding tools are accelerating development, churning out even more assets that need oversight, widening the gap between how fast teams can build and how much they have to manage.
Databricks Genie ZeroOps is a new agentic operations capability that is designed to automate the monitoring, investigation, and remediation of issues across data and AI workloads.
Currently in private preview, ZeroOps uses an AI agent to identify anomalies, trace root causes using metadata and lineage information via Unity Catalog, generate proposed fixes, and then test those fixes in
Prem AI's significant funding boost could accelerate innovation in secure AI infrastructure, impacting data privacy standards and enterprise AI adoption.
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