Open.Intel

Join Ezequiel Lanza, Open Source AI Evangelist at Intel Corporation, and guest Chandan Kumar from Denvr Dataworks to learn how to build a GenAI-powered database agent—no OpenAI API needed! As part of our monthly Code & Deploy series, this session will guide you through creating and deploying your own agent locally, on-premises, or in the cloud. This session is ideal for developers and analysts working with complex datasets who value privacy, as your data stays secure in your environment. In This Session, You’ll Learn How To: ▪️ Set up your environment: Docker, Ollama, PostgreSQL. ▪️ Deploy the Llama 3.2:1B model for your agent. ▪️ Extend functionality with Streamlit and support for more databases. ▪️ Leverage Denvr’s inference backend with Gaudi2 hardware (CodeLlama). When: March 26, 2025 Event on LinkedIn Live, registered here: https://lnkd.in/eab9rnZZ By the end, you’ll have a fully functional database agent tailored to your needs—perfect for working with SKU data, business intelligence, or building privacy-first GenAI solutions. #CodeandDeploy

Join Intel Corporation for an exciting week (April 14-18, 2025) of GenAI Streamlined sessions as part of OPEA Week, available in your local time zone. Discover talks on chatQnA, GraphRAG, agentic AI, and learn what’s ahead for OPEA in 2025!   On the last day, join us for the hands-on OPEA Hackathon, hosted by our very own Ezequiel Lanza, and learn how to deploy a sample GenAI application on AWS EKS using OPEA and AWS CloudFormation. The OPEA platform supports the development, production, and adoption of GenAI applications for enterprises with composable building blocks, architectural blueprints, and a comprehensive assessment framework.  Register for your local session: https://lnkd.in/eYSRRJQi   #GenAI #OpenSource #ChatQnA #AIagents

🚀 Building AI Agents? You’ll love the Model Context Protocol (MCP)! Imagine if every time you bought a new gadget, you needed a different charger. Frustrating, right? 🤯 That’s exactly what happens when AI agents need to connect to different tools, every system requires a custom integration. Yes, you can build your own APIs, but having an open protocol like MCP is a total game-changer. It acts as a universal adapter, allowing AI assistants to seamlessly connect to business tools, content repositories, and development environments, without the hassle of building custom connectors for each system. For example, you could easily build your own tool on Cursor! 🔗 How It Works: ✅ MCP Servers → Expose data from multiple sources (e.g., GitHub, Slack, internal databases, CRMs, custom business apps). ✅ MCP Clients → AI assistants that seamlessly retrieve and interact with this data. ⚡ Why It Matters: With MCP, AI assistants can: ✔️ Access the right data at the right time ✔️ Integrate with a wide range of tools easily ✔️ Automate workflows across multiple platforms This means smarter AI and less friction for developers! 💡 Getting started guide: https://lnkd.in/gyc726Va What are your thoughts on open AI standards like MCP? Let’s discuss in the comments! ⬇️ #AI #MachineLearning #Automation #AIIntegration #Anthropic #MCP

🎙️A new Open at Intel podcast is out! I spent some time with Andreea Munteanu of Canonical to chat about their Data Science Stack, an out-of-the-box machine learning solution for data scientists. We both believe the future of AI is OPEN! Subscribe wherever you get your podcasts or check it out here: https://lnkd.in/gXqpprxF

If you're heading to All Things Open AI next week, don't miss our own Katherine Druckman talking about how to tackle security challenges in the age of AI.

Open at Intel host Katherine Druckman spoke with Fermyon CEO Matt Butcher last fall about Helm, the popular K8s package manager. Butcher discussed the philosophical and technical changes of moving from Helm 3 to Helm 4 and how you can get involved and take your seat at the big Helm table. 👀 Read the transcript: https://intel.ly/4ibphmG 🎧 Subscribe to the podcast: https://intel.ly/3DA3tC9

Amazon Web Services (AWS)'s Dotan Horovits 🇮🇱🎗discusses the role of observability in CI/CD pipelines and how OpenTelemetry is impacting cloud native solutions in this chat with Open at Intel host Katherine Druckman. 👀 Read the transcript: https://intel.ly/4hkAdgC 🎧 Subscribe to the podcast: https://intel.ly/3DqPRcv #OpenSource #Observability #OpenTelemetry

🗓️ Join us for our next hands-on Code & Deploy session March 26th where we'll show you how to build and deploy a GenAI database agent using DB Agent and Defog SQL! #GenAI #SQL #Database #LiveCoding

Building GenAI just got easier! Intel® Tiber™ AI Cloud is now part of the OPEA deployment guide for Intel® Xeon®. OPEA (Open Platform for Enterprise AI) is an open-source framework for building modular GenAI solutions - making it easier to deploy and scale AI workloads. Explore the guide here: https://intel.ly/41qMEBP #AI #GenAI #IntelTiberAICloud #OPEA #IntelLiftoff #OpenSource

Don't miss Intel Open Source Security Evangelist Katherine Druckman this week at #SCALE22x!