Stephen Ko, PMP’s Post

The strategic acquisition of Octopai by Cloudera marks a pivotal moment in the data industry's evolution. This move reflects a deeper transformation: as AI reshapes our data landscape, metadata management has emerged from being a "nice-to-have" compliance tool to becoming the cornerstone of AI readiness. What fascinates me is how this acquisition signals two concurrent shifts. First, major data platform providers are recognizing that robust metadata capabilities aren't just add-ons—they're essential to their core value proposition. Second, we're seeing the natural consolidation of the metadata management market as its strategic value becomes undeniable. The timing is particularly significant. As organizations race to harness AI's potential, the role of metadata has evolved beyond traditional documentation. When combined with embeddings, rich metadata becomes the crucial context that helps AI models understand data lineage, quality, and relationships—ultimately leading to more accurate and reliable AI outcomes. What are your thoughts on this industry consolidation? Are we entering an era where metadata management becomes the key differentiator for data platforms? #AI #Analytics #Embeddings #Metadata https://lnkd.in/ddEkAm4J

Currently looking into the evolving data & AI governance landscape? Do you use you use Databricks or are considering them? Well then this is for you. A vast majority (88%) of data professionals reported that employees at their organizations are using artificial intelligence (AI). But, only 50% said that their organization’s data security strategy is keeping up with AI’s rate of evolution. Take 8 minutes to learn how thats being corrected with Immuta. #Data #AI #Datasecurity #Dataprotection #Dataprivecy #Datasharing #Helthcare #Immuta #Datamesh #Datagovernance #Datamasking #Dataaccess #Databricks 

One of the biggest challenges is making enterprise data truly work for generative AI. It's not just about having more data; it's about making that data smarter and more relevant. That's where the NetApp GenAI Toolkit comes in. While some might promise "90% efficiency," the real-world results show impressive improvements in data relevance and accuracy, often between 50-75%. The NetApp GenAI Toolkit is now available for preview. Seamlessly integrating with Google Cloud’s Vertex AI and also working with Azure, it offers automated deployment and powerful RAG operations. This means you can accelerate innovation and drive meaningful business impact with smarter AI applications. Curious to learn more? Check out the full details here! #AI #DataManagement #Innovation #NetApp

Check out Amit Walia's blog to learn more about how IDMC offers cloud-native, AI-powered data integration and engineering, governance and privacy, master data management, and IPaaS to help you get ready for Generative AI. Learn more: #InformaticaWorld

In our 2024 State of Data Security Report, only 50% said that their organization’s data security strategy is keeping up with AI’s rate of evolution. Learn how the Databricks Unity Catalog and the Immuta Data Security Platform enable security and governance for cross-platform #AI models: https://ow.ly/jeev50R2ff7 #DataSecurity #DataAccess #DataGovernance Sam C.

"Data is not synonymous with storage; organizations need to change this mindset to truly optimize their massive investments in AI", says Tony Asaro in this CIO Influence article. Never one to mince words, Tony addresses the need for data orchestration to overcome the data gravity that storage hardware vendors benefit from in tying your data to their storage platform. He provides a checklist of considerations in choosing a new data management platform and parallel file system for AI workloads. Check out this article and let us know what you think - https://lnkd.in/gMCp9Mjj #news #thoughtleadership #globaldataplatform #dataorchestration #hyperscaleNAS #ai #hpc

Please join us at the Corinium CDAO Government Summit to learn more about preparing your data for AI and other vital topics related to data management.

This week’s NexaQuanta Newsletter is packed with groundbreaking advancements shaping the future of AI, data management, and business innovation. Here's a quick glimpse of what you'll find: 🔹 IBM Planning Analytics on Azure – Revolutionizing flexibility in planning and forecasting. 🤖 Meta Motivo – A humanoid AI agent breaking barriers in task performance. 🛠️ ChatGPT Upgrades – Enhanced collaboration with Projects and Canvas. 🚀 IBM Granite 3.1 – Advanced embedding models transforming enterprise AI. 🌐 AI Scalability with IBM Cloud Pak® for Data 5.1 – Pioneering seamless data integration. Explore how these updates can redefine your strategies and take your innovation game to the next level. 📩 Don’t miss out! Read the full newsletter here: https://lnkd.in/db-xQE_F 💡 Subscribe today for regular updates on transformative tech trends. #AI #Innovation #Newsletter #BusinessInsights #NexaQuanta #ArtificialIntelligence #TechNews #CloudComputing #MachineLearning #DataManagement #DigitalTransformation #EmergingTechnologies #EnterpriseSolutions #AIAdvancements #IBM #IBMWatsonx

4 highlights from EDB Postgres AI https://lnkd.in/gfTxqiYr 35% of enterprise leaders will consider Postgres for their next project, based on this research conducted by EDB, which also revealed that out of this group, the great majority believe that AI is going mainstream in their organization. Add to this, for the first time ever, analytical workloads have begun to surpass transactional workloads. Enterprises see the potential of Postgres to fundamentally transform the way they use and manage data, and they see AI as a huge opportunity and advantage. But the diverse data teams within these organizations face increasing fragmentation and complexity when it comes to their data. To operationalize data for AI apps, they demand better observability and control across the data estate, not to mention a solution that works seamlessly across clouds. To read this article in full, please click here

Good few minute read by Tony Asaro, our Chief Strategy & BDO at Hammerspace, addressing data strategies for companies consumption of GPU's for AI workloads being at the early forefront in planning not an afterthought...