Databricks Acquires Tecton for Real-Time AI Deployment

Databricks Hits $1B AI Revenue Run-Rate 🚀 The AI revolution is here, and enterprises are investing heavily in data intelligence platforms that deliver real ROI. Our Agent Bricks and new Lakebase category are transforming how organizations build production AI agents on their data. 🤖 Databricks is democratizing data and AI for every organization. From analytics to AI apps and agents—all on one unified platform. 📈 The future of enterprise AI runs on Databricks!🌟 Read more: https://lnkd.in/emqCFFbG #Databricks #DataAI #AIRevenue #AgentBricks #Lakebase #EnterpriseAI

The data industry is consolidating fast — fueled by AI. Recent billion-dollar acquisitions like Databricks buying Neon and Salesforce acquiring Informatica show just how critical data quality has become for the future of AI. But will snapping up legacy companies really prepare enterprises for a post-ChatGPT world? In this video, we break down what’s driving these deals, why startups are getting swallowed up, and what it means for the future of AI adoption. #Databricks #DataAnalytics #MachineLearning #Neon #DeepLearning https://lnkd.in/ez9iEZMy

📣 We are thrilled to announce that Databricks is acquiring Tecton 🤝 Building the future of AI Agents together 🤖✨ Tecton’s real-time data technology will accelerate #AgentBricks 🧱 enabling customers to #build, #deploy, and #scale #AI applications faster than ever⚡️ 📍Reuters: https://lnkd.in/e49m5apX 📍Blog: https://lnkd.in/eSeZeBzb This is a major leap for mission-critical AI and we can’t wait to see what YOU create! 🙌🔥 #Databricks #Tecton #Reuters #PersonalizedAIAgents #realtimedata #AIApplications #AIAgents #bigtechnews

#AI in the pipeline is failing, but not for the reason you think. It’s not the tools. It’s the design. Most AI pipelines break because of: 🔸 Messy source data 🔸 No governance between ingestion & modeling 🔸 No feedback loop upstream Pipelines aren’t plumbing problems — they’re design challenges. When done right, they deliver: ✅ Faster model refreshes ✅ Better observability ✅ Lower latency Smarter ingestion is where AI success begins. 💬 How’s your pipeline holding up? Let’s talk. https://lnkd.in/dK7hK-5G #AIpipelines #DataOps #DataTransformation #Snowflake #BlueCloud

⚡Intelligent Automation at Scale⚡ At Quandis, we’ve built Quandis Business Objects (QBO) to be more than just a business automation platform. It’s an intelligent engine powered by your choice of Large Language Models (LLMs) like OpenAI, Gemini, Anthropic, DeepSeek and a host of others made available through Azure AI and AWS Bedrock. Whether you're automating classification, drafting dynamic responses, or extracting structured data, our platform makes it simple to embed AI across your workflows with efficiency, security, and flexibility. And the best part? We abstract the complexity so you can switch AI providers, redact sensitive data, and tune prompts without rewriting your code. Curious how it works in practice? Schedule a demo today! https://lnkd.in/gPJxp4kz #AIIntegration #Quandis #GenerativeAI #FinTech

How do you build AI systems on multi-modal data without fighting your infrastructure? Chang She, CEO and Co-founder of LanceDB and a founding contributor to the pandas library shares how a new multimodal lakehouse can transform AI development. • Why traditional databases fall short for AI workloads • How LanceDB combines vector search, structured queries, and versioning • Real-world lessons from building developer-friendly, open-source infra 🎯 Talk: New Foundations for AI Data: Multimodal Lakehouse 
🔗 https://hubs.li/Q03HX-Zd0 #MultimodalAI #VectorSearch #AIInfrastructure #OpenSourceAI #LLM #DataOps #AppliedAISummit

During the 2025 Summer Showcase, the CData Software team asked live attendees what their biggest challenge was when using AI agents. Not surprising the top answer was safe and governed access to enterprise data: https://bit.ly/3UoxWIc That response as well as other poll results reinforced what's been said in customer and analyst conversations—agentic AI will only succeed if it's built on connected, secure, and governed data infrastructure. #EnterpriseData #EnterpriseAI #AgenticAI #AI #DataGovernance #CData

Excited to partner with Sysdig on a great discussion around how to secure AI workloads. Join the team as they dive into how you can help your team detect vulnerabilities in popular AI packages and enforce provenance early to keep their builds safe.

Observability keeps getting better and better… but here’s the paradox: systems keep getting more complex. Scaling monitoring isn’t just about more dashboards, it’s about smarter ways to cut through the noise when every service, and dependency can trigger a 3 a.m. page. Lots of goodness to capture Datadog's solve in, "This Month at Datadog". 🤖 Agentic AI in Bits → helps isolate root cause faster 📊 Data Observability → ensures you can trust the data powering your business, with full visibility across lineage and dependencies 👉 Give this short video a listen https://lnkd.in/gjFxecJW

When using GenAI for business purposes, don't fall victim to the hype that information provided by LLMs is equivalent to knowledge, because AI the label contains the word "intelligence". The root of true knowledge has always been and always will be context. This means LLMs must be helped. This requires the right data strategy and architecture. #AI #GenAI #LLM #architecture #data #strategy #knowledge #GPT-5 #ChatGPT #semantics The below video talks to the challenges.