Viktoria Semaan

Databricks now lets you run OpenAI models (like GPT-5) directly on your enterprise data. Most AI tools or products force you to move your data into their product — adding cost, risk, and endless API hops. This changes that. Now, agents inside Databricks can securely work with large, complex business datasets — accelerating AI-driven processes and giving you faster answers to your most critical questions. At LBMC we remain committed to building AI readiness through data readiness in Databricks. #AI #Databricks #EnterpriseAI #Agents https://lnkd.in/eUYefPhR

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Great deeply technical presentation by Scott Routledge at PyData Global on how Bodo DataFrames accelerates and scales Pandas code automatically.

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Claude, ChatGPT, Snowflake Intelligence, Cortex Analyst, Databricks Genie, Zenlytic, TextQL. Think about any AI agent you connect to your data. They all get questions from business users like: “What was the average number of daily active users in the last quarter?” These AI agent connects to Euno’s MCP server to retrieve metadata. That’s when Euno gives these agents the missing context they need to understand your data. ** Just a reminder that Euno is a metadata platform so we only access your metadata ** Euno runs a semantic search and looks for dashboards that use DAU (which is semantically equivalent to Daily Active Users). It filters for certified dashboards using the trust signals you’ve already set in Euno. In this example Euno finds two candidates: 1. DAU used in the User Engagement dashboards 2. DAU_NEW used in the Product Statistics dashboard Both dashboards are certified. But Euno also shows how often each has been used in the past 30 days, along with the owner or creator. With that information, the business user can confidently choose the right one and the AI agent can deliver the correct answer. The same applies to tools like Cursor. Let’s say you’re an engineer and ask: “Can you find me the Tableau dashboard for Customer Success?” Cursor will reach out to Euno’s AI assistant to get that BI context because Cursor is focused on dbt development and doesn’t have access to that layer. You can even go further and ask which dbt models power that dashboard and how those models are calculated. Euno feeds Cursor with that real-time context as you build. It’s not just for business users. It’s for developers too.

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📰 Anthropic Expands Claude Partnership with Snowflake - $200M Deal 🔗 https://lnkd.in/gdh-HVit 📝 Summary: Anthropic and Snowflake have deepened their partnership with a $200 million deal to deploy compliant Claude AI agents across Snowflake's global data cloud. This expansion enables enterprises to leverage Claude's capabilities for data-driven AI applications at scale. 💭 Sentiment: Positive - This major partnership validates Claude's enterprise readiness and demonstrates strong market confidence in Anthropic's AI models for mission-critical applications. 🏢 Companies: @Anthropic @Snowflake #AI #Enterprise #GenerativeAI #TechNews

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Cloud data company Snowflake has entered into a $200 million multi-year AI deal with OpenAI on Monday, the latest signal that enterprise AI competition continues to heat up.Under the deal, Snowflake’s 12,600 customers will have access to OpenAI models across all three major cloud providers. Snowflake employees access to OpenAI’s ChatGPT Enterprise as well. The two companies are also partnering to build new AI agents and other AI products. https://lnkd.in/dsBdWaBe #Snowflake #DealWithOpenAI #TheEnterpriseAIRace

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.@Teradata eyes on-premises #AI workloads in regulated industries https://bit.ly/44a5I8x Teradata launched Teradata #AIFactory, which aims to target integrated AI systems for regulated industries. @ldignan

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