Broadcom announces the availability of VMware Tanzu Data Intelligence. Tanzu Data Intelligence goes beyond big data, data warehousing and data lakes to provide a full stack solution for using all the traditional and new-age data sets for both analytics and to power next generation applications driven by data and AI: https://lnkd.in/gtpkZMWE
Broadcom launches VMware Tanzu Data Intelligence for data analytics and AI
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Every Enterprise knows the pain: data scattered across warehouses, lakes, and apps. Insights delayed. Fraud undetected. Customers misunderstood. AI Agents limited. => Data fragmentation doesn’t just cost efficiency—it costs opportunities. We are thrilled to announce that 🌐 Neo4j Infinigraph Has Launched! 🚀 Run both transactional & analytical workloads at 100TB+ scale — no ETL, no duplicates, no compromise. 🔑 One connected graph. Infinite context. AI doesn't just need data, it needs knowledge. Neo4j Infinigraph gives your agents the context to perform at scale. More details here: https://lnkd.in/eUH_2TiT
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Everyone wants an AI strategy. But if your data architecture wasn’t built for AI, and most weren’t, you don’t have a strategy. You have a wish list. The reality is, AI can’t fix fragmented data. It can’t guess context. And it can’t deliver real-time decisions if your systems are syncing overnight. Enterprise data is messy by nature. It lives on the mainframe, in the cloud, and across everything in between. Most of it wasn’t built to support the speed or complexity AI demands. Getting that data ready is a structural shift (not an IT task). One that requires trust, synchronization, metadata, and resilience. Without that foundation, even the smartest models will fail. Rocket Software’s latest blog lays out what it actually takes to get enterprise data AI-ready, without tearing everything down. https://lnkd.in/e48wjgFt
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Organizations are modernizing data management with IBM watsonx.data, a hybrid and governed lakehouse platform that unifies data across domains. The Data Product Hub serves as a centralized marketplace where users can discover, subscribe to, and receive data products directly into their lakehouses, regardless of where the data originates. This simplifies delivery, accelerates insights, and supports better decision-making. Governed access and analysis are enabled through the watsonx.data console, making data sharing seamless for both providers and consumers. #IBMwatsonx #DataLakehouse #DataProducts #AI #DataManagement #HybridCloud Read more below: https://lnkd.in/gMdVUwpT
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Rocket Software: The road to scalable, reliable #AI runs through your #data architecture. That’s why interoperability between core IT systems and cloud-native environments is critical. Read about the 4 steps every organization must take to prepare their data for AI: https://lnkd.in/gik6NXnY.
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Enterprise buyers are rethinking their data foundations as AI adoption accelerates. The right data platform isn’t just about storage — it’s about scale, governance, and enabling advanced analytics to unlock business value. ISG’s 2025 Buyers Guide for Data Platforms provides a clear view of leading providers, key differentiators, and the innovations shaping tomorrow’s enterprise data strategies. Whether you’re modernizing legacy systems or seeking a cloud-native solution, this guide helps decision-makers cut through the noise and identify the best fit for their digital roadmap. 📖 Explore the guide here: https://bit.ly/48lRG7r #DataPlatforms #EnterpriseAI #DigitalTransformation
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"The Race to Build the Ultimate Data Platform" Blog Just published a blog titled "The Race to Build the Ultimate Data Platform" - exploring how AI demands and efficiency goals are driving the shift from fragmented tools to unified data platforms. Organizations investing in comprehensive platforms gain operational resilience, better governance, and accelerated AI adoption. Read how Amazon Web Services (AWS), Microsoft, Google, Databricks, Cloudera, Qlik, Oracle, and others are competing to build the most comprehensive platforms to support the needs to data driven companies leveraging their enterprise data and AI. Take a look! #DataPlatforms #AI #DataManagement #DigitalTransformation #DataStrategy Enterprise Strategy Group (part of Omdia) https://lnkd.in/eQn4PcWx
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Gartner warns that by 2027, 60% of organizations will fail to realize AI value due to data governance gaps. In The Register, EDB’s VP of Product Marketing Douglas Flora explains how the EDB Postgres AI Factory helps enterprises cross the agentic AI chasm with a sovereign platform that unifies data, secures it end-to-end, and accelerates production by as much as 3x faster with 6x better cost efficiency. Read Doug’s full piece here: https://lnkd.in/ewcNBncD #EDBPostgresAI #SovereignAI #DataSovereignty #AgenticAI #PostgreSQL #DataSecurity #AIFactory
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This evolution underscores a critical moment for AI strategy: designing systems that are not only powerful but also transparent, flexible, and scalable. As enterprises increasingly integrate these advanced architectures, the collaboration between AI and open-source tools is reshaping the future of data platforms. #AI #OpenSource #EnterpriseAI #DataPlatforms #DigitalTransformation
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Gartner warns that by 2027, 60% of organizations will fail to realize AI value due to data governance gaps. In The Register, EDB’s VP of Product Marketing Doug Flora explains how the EDB Postgres AI Factory helps enterprises cross the agentic AI chasm with a sovereign platform that unifies data, secures it end-to-end, and accelerates production by as much as 3x faster with 6x better cost efficiency. Read Doug’s full piece here: https://lnkd.in/eqXCTwTG #EDBPostgresAI #SovereignAI #DataSovereignty #AgenticAI #PostgreSQL #DataSecurity #AIFactory
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Cisco-Splunk strategy shift unveiled with Data Fabric "AI Canvas is the best AIOps interface I've yet seen," said Steven Dickens, CEO and principal analyst at HyperFRAME Research. "Mostly, what I liked about the AI Canvas piece was this multiplayer mode, where you build a canvas with [colleagues], and all of you look at things together … which [follows] how a major incident might happen -- a small ad hoc team of a network person, an observability person, maybe a server person, all come together to examine a problem for three or four hours to figure it out. Then that team dissolves, and people go back to their single-player mode." Read the full article by Beth Pariseau h here: https://lnkd.in/ePi_st5W
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