Charlie Berger

Starburst has always believed in providing customers with the freedom of choice. Nowhere is this more true than the emerging developments around interoperable compute among data platforms. Recently, I sat down with Snowflake’s Ryan C. Green to talk about the Open Semantic Interchange (OSI), an open, vendor-neutral standard for sharing semantic models across AI, BI, and analytics tools. OSI gives customers a common, open way to define and share business metrics. This helps them stay consistent across dashboards, notebooks, and machine learning models, no matter which tools they use. For Starburst, this furthers one of our core goals. Choice. Customers should be able to keep one trusted set of business definitions inside their Snowflake environment while still having the freedom to choose the tools that work best for them. OSI helps make that possible. It marks an important step in bringing Starburst’s engine to Snowflake-interoperable compute. The video from my chat with Ryan is coming soon 👀 In the meantime, you can get more details from our recent press release: https://lnkd.in/ev2XGB4u #OpenSemanticInterchange #OSI #Interoperability #AI #Data #Snowflake #Starburst

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Using AI to generate Snowflake semantic views metadata could be a small setback for AI in your organization. I chronicled my experience and recommendations after building and testing Snowflake MCP with production semantic views. https://lnkd.in/g74mcNbi

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AI is only valuable if it earns trust. That means outcomes you can explain, data you can defend, and controls that hold up under scrutiny. A key takeaway from Informatica's recently released 2026 CDO Insights report is that trust is becoming the limiting factor. 76% of CDOs say visibility and AI governance have not completely kept pace with how employees are using AI and 74% point to a need for more data and AI literacy. For me, this suggests that stronger governance and visibility only work when the workforce understands how to use data and AI responsibly, and training only matters when there are clear guardrails to apply. Public sector teams, how are you modernizing your data foundation and raising the baseline of literacy so AI can improve services without increasing risk? #PublicSector #DataGovernance #DigitalTransformation https://lnkd.in/eyV8RFUk

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In this world of Agents.. how do you ensure that your agent is doing what it's designed to do? Agent Evaluation is one of the core capabilities required for Explainable AI. @Snowflake #Cortex #Agents Evaluation is now GA.

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Snowflake and OpenAI partner in a $200M deal to embed GPT-5.2 into Cortex AI. Find out how this changes enterprise AI deployment strategies across industries. #Snowflake #OpenAI #SNOW #EnterpriseAI #AIagents #GPT5 #CortexAI #CloudComputing #DataCloud #GenAI Snowflake OpenAI

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We’re proud to announce that Starburst has joined the Open Semantic Interchange (OSI), an open-source initiative led by Snowflake and key industry partners to define a universal, vendor-neutral standard for semantic data exchange. The Open Semantic Interchange creates a common specification that helps organizations unify fragmented data definitions and maintain consistent metrics across dashboards, notebooks, and machine-learning models. By fostering interoperability, transparency, and customer choice, OSI is helping enterprises simplify data operations and accelerate AI innovation. “OSI represents the future of data exchange for AI, one built on standards, interoperability, and customer choice,” said our CEO & Co-Founder, Justin Borgman. “By establishing common standards, we’re enabling organizations to seamlessly maintain business context across platforms and tools.” Together with Snowflake and ecosystem partners, Starburst is shaping a more open, flexible future for the data and AI community. Learn more about the initiative: https://okt.to/6sIO1b #DataInteroperability #AI #OpenSource #Snowflake #DataAnalytics #SemanticModel #Trino #Iceberg

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DataHub is joining the Open Semantic Interchange (OSI), led by Snowflake, to create an open, vendor-neutral semantic model specification. OSI is developing a vendor-agnostic standard for semantic definitions built on three principles: Standardization: A uniform language for definitions Interoperability: Seamless data exchange across tools Extensibility: Building a model that can adapt as AI changes the game Why are we part of this project? It's hard enough for teams of humans to define business terms and metrics consistently within an organization. When AI agents enter the picture, these inconsistencies don't just slow us down, they make progress impossible. As an open source company, we understand that organizations need vendors to adopt standards, not build silos, so they have the freedom to choose the best tools for their needs. DataHub is committed to building first-class support for the OSI standard into the leading open-source metadata and AI context platform. Find a link to the full announcement in the comments. #DataHub #OpenSemanticInterchange #OpenSource

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Salesforce Buys Informatica ______________ Salesforce announced its intent to buy Informatica, a global leader in enterprise data management, for approximately $8 billion, accelerating its hard pivot into #AI. Informatica brings deep expertise in fabric, integration, data pipeline, governance, quality, and master data management. This acquisition enables Salesforce to create a unified customer data fabric across Salesforce and third-party systems, empowering businesses with actionable insights. Most importantly, it supercharges Salesforce’s ability to deliver #Agentforce, its #AIagent solutions that reduce complexity, accelerate deployment, and scale impact. — Noel Y. and Kate Leggett, VP Principal, Analysts Forrester #datafabric #datagovernance #datapipeline #masterdatamanagement #dataquality

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AI won’t save your portfolio. Smarter decisions will. Going to the 26th American Pharma and Biotech Project, Program and Portfolio Management Conference in Boston? Broadcom leaders Lance Knight, Chief Value Stream Architect, and Emma Price, Senior Product Marketing Manager, will explore how data science can truly enhance pharma portfolio decision-making. ValueOps by Broadcom helps organizations move beyond dashboards to connect strategy, investment, and execution for faster, clearer decisions that deliver real outcomes. If your portfolio needs more clarity and less complexity, let’s connect. ➡️ https://dy.si/qKGvbY2

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For the fourth consecutive year, Databricks has been named a Leader in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms—this time achieving the highest position in Ability to Execute and the furthest in Completeness of Vision. But here's the real story: while many vendors stitch together disparate tools, Databricks is redefining the game with a unified Data + AI platform. The approach isn't just about integration; it's about transformation.

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Databricks + UBIX = Rapid Business-Led AI Innovation. Databricks and UBIX serve distinct but complementary roles in enterprise AI. While Databricks provides IT-managed data infrastructure, UBIX democratizes AI across the organization. While some functionalities may overlap, UBIX is purpose-built for business users and bridges the gap between IT’s data capabilities and the organization’s AI-driven decision-making needs.

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