Sigmoid’s Post

Exciting times ahead for data engineering! With generative AI entering the scene, we're on the brink of transforming how we build data systems and pipelines. This technology is not just about enhancing productivity it's about reinventing our approaches to data migration, modernization, and greenfield projects. From automating code conversion to optimizing data storage, the possibilities are endless. check out this article: https://lnkd.in/gdKWf4vz I'm curious to hear your thoughts and experiences with generative AI in data engineering. How do you see it impacting your projects and processes? #DataEngineering #GenerativeAI #Innovation #CloudComputing #AI

🚀Tool of the day Quantumics.AI: on Ai Jumble-Building a thriving AI community📝 Revolutionize Your Data Management with the World's First Citizen DataOps! 🌐🚀 Introducing a game-changer for business users: our Citizen DataOps platform. Say goodbye to IT and Data Engineers' reliance and take control of your data. With us, you can instantly profile, cleanse, engineer, automate, and govern your data for analytics and AI. 📊🤖 Join the data revolution and empower your team with the tools they need to drive insights and innovation. Join Ai Jumble-Building a thriving AI community,-for more exciting #ai tools www.quantumics.ai #DataOps #Analytics #AI #DataManagement

Generative AI is poised to revolutionize #datamanagement, particularly in #dataengineering and integration. Its ability to automate tasks, provide conversational search, and generate code can streamline processes and enhance efficiency. This technological advancement has the power to democratize data integration, making it accessible to users of all technical backgrounds. 💡That's why we've invited Mike Ferguson to share his opinion on how Generative AI is transforming data management and unlocking new insights - https://lnkd.in/dswdMizv #datavirtualization #dataintegration

Deploying intelligent AI applications in workflows demands robust infrastructure, tooling and task specific AI models beyond state of art models themselves.Integrating these for real world scenarios requires deep expertise in engineering & data science. Complexity intensifies significantly for cognitive workflows. #AI #practicalAI #LLMs #genAI

Perfect data for AI systems to predict future business 🤣

What is an industrial data fabric and what is its relationship with industrial AI? 🤔 Turns out you need both to prevent Generative AI hallucinations and drive successful, scalable analytics outcomes. Demystify this concept further and see how industrial data fabric helps deliver context discovery to industrial operations. 🔗Learn how data fabric works: https://hubs.ly/Q020N2Kv0 #Cognite #AI #IndustrialAI #ChatGPT #GenerativeAI #Industrialdata #Datafabric

🚀 Unlock the potential of genAI innovation! 🧠 Discover how effective unstructured data management fuels groundbreaking advancements in AI technology. 🔍💡 Contact us today for a consultation and let our experience work for you! 📧 Email: [email protected]  📞 Phone: 357-25-029990  💬 Direct Message: Slide into our DMs for a quick response! 📚 Dive into the full article on NetApp Learn how to harness the power of data for transformative AI solutions! 💻 🌟 #AI #Innovation #DataManagement #NetApp 🤖📊

Craxel delivers unprecedented price/performance for petabyte scale data analytics. Our patented Black Forest technology is incredibly fast and efficient, delivering an entirely new way to organize data called time series graphs. Organizations can build time series graphs as the data arrives so that insight is immediately available to both analysts and AI algorithms. This next generation data analytics platform delivers massive productivity gains through dramatically faster queries and rapid time to insight. Using a fraction of the compute of traditional algorithms, organizations can extract value faster and more efficiently. It is so powerful, it fundamentally changes the game for the world's largest organizations with the largest data challenges. Learn more at www.Craxel.com #timeseriesgraphs #bigdata #AI

Change Data Capture Retrieval Augmented Generation is a powerful approach to building out AI-powered products that continuously fetch business context for Generative AI models. Retrieval-Augmented Generation (RAG) is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources. Change Data Capture (CDC) is a technique used to identify and capture changes made to data in a database, and then apply these changes in real-time or near real-time to another system or data store. Combining these two software patterns provides the following benefits: ✅ Reduce hallucinations ✅ Power AI Agents with Real-Time Knowledge ✅ Build operational AI applications Come learn more if you're at Fabric Community Conference at the Striim booth number 211. #dataengineering