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 […]
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
Databricks' 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.
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.
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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.
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.
Insider Brief PRESS RELEASE — Willow, a pioneering agentic access platform has emerged from stealth with $7 million in seed funding to enable enterprises to safely adopt AI agents across the workplace without impeding innovation. The round was led by Hetz Ventures, following early angel investment from Wix Co-Founder and CEO Avishai Abrahami and President Nir Zohar, who backed Willow at […]
Databricks' soaring valuation highlights the growing investor confidence in AI-driven platforms, potentially accelerating its path to an IPO.
The post Databricks in talks to raise funds at over $175B valuation appeared first on Crypto Briefing.
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