Yesterday's Google Cloud Summit Leaders Connect was a real eye-opener. It's clear the AI revolution isn't just about flashy models; it's about a fundamental shift in how we approach our data. So many companies are struggling to adopt AI, and the reason is often the same: they lack a coherent data strategy. Without a solid data foundation, AI initiatives are built on quicksand. What impressed me most was Google Cloud's vision. They're not just selling AI as a separate product. Instead, they are embedding AI capabilities across the entire data lifecycle. It’s AI for your data, simplifying everything from ingestion to insights. We're talking about a new suite of tools that brings AI to: 🔹 Data Engineering: Automating pipelines and optimizing data flows. 🔹 Data Science: Accelerating model development and deployment. 🔹 Governance & Security: Proactively identifying risks and ensuring compliance. This approach makes AI adoption less of a massive leap and more of an organic evolution. And the launch of Agentspace is a game-changer, promising to further simplify the creation and deployment of intelligent agents to solve complex business problems. Google is effectively lowering the barrier to entry, empowering organizations to build a true "AI-ready" data culture from the ground up. The future isn't just about using AI; it's about building your entire data ecosystem with AI at its core. Exciting times ahead! A special thank you to Alexandre Gochomoto for the invitation to this insightful event. #GoogleCloudSummit #AI #DataStrategy #GoogleCloud #BigData #DataGovernance #GenAI #Agentspace #CloudComputing
Google Cloud Summit: AI for Data, Not Just Models
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In so many conversations with customers lately, one thing keeps coming back to me: 𝐬𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥 𝐀𝐈 𝐬𝐭𝐚𝐫𝐭𝐬 𝐰𝐢𝐭𝐡 𝐬𝐭𝐫𝐨𝐧𝐠 𝐝𝐚𝐭𝐚. The excitement around AI is incredible. Every company wants to innovate, experiment, and see how AI can transform their business. But just as often, I hear the same challenge: “𝐰𝐞 𝐰𝐚𝐧𝐭 𝐭𝐨 𝐮𝐬𝐞 𝐀𝐈, 𝐛𝐮𝐭 𝐨𝐮𝐫 𝐝𝐚𝐭𝐚 𝐢𝐬𝐧’𝐭 𝐫𝐞𝐚𝐝𝐲.” Fragmented sources, inconsistent quality, and disconnected systems continue to slow down even the most ambitious projects. Without a strong data foundation, it’s difficult for AI to deliver more than quick wins. This is why I see 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐅𝐚𝐛𝐫𝐢𝐜 as such a game-changer. It gives organizations a way to finally bring their data together, ensure it is trusted and accessible, and build the kind of foundation where AI can truly thrive. What excites me most is seeing how quickly the conversation shifts once that foundation is in place. Instead of asking “how do we start with AI,” leaders begin asking “what should we do now to prepare our data for AI?” That change in perspective is where real innovation begins. At DataArt, we see this every day. As a Microsoft Solutions Partner in four Azure areas and a holder of the Advanced Specialization in AI Platform, we bring the expertise needed to help clients make this journey successful. We have developed multiple Microsoft Fabric–based offers designed to help companies prepare their data for AI, overcome complexity, and unlock real value. In fact, together with Microsoft we also run Fabric Analyst in a Day workshops that help organizations explore these capabilities firsthand. 𝐀𝐟𝐭𝐞𝐫 𝐚𝐥𝐥, 𝐰𝐞 𝐚𝐫𝐞 "𝐃𝐚𝐭𝐚 + 𝐀𝐫𝐭". 𝐖𝐞 𝐤𝐧𝐨𝐰 𝐡𝐨𝐰 𝐭𝐨 𝐭𝐮𝐫𝐧 𝐝𝐚𝐭𝐚 𝐢𝐧𝐭𝐨 𝐢𝐦𝐩𝐚𝐜𝐭 — 𝐭𝐡𝐚𝐭’𝐬 𝐨𝐮𝐫 𝐚𝐫𝐭! 👉 Happy to discuss further — whether around new opportunities, real-world case studies, or in one of our upcoming workshops. #MicrosoftPartner #MicrosoftSolutionsPartner #AzureCloud #MicrosoftFabric #datatransformation #AI Microsoft AI Cloud Partner Program
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Foundations 2025 is 100% free + virtual. ✅ Day 1 (Data + Analytics) is complete. Day 2 (The Future of Enterprise AI) is coming September 24: https://bit.ly/4kG6cJU We’ll kick things off with new product announcements + live AI demos—then dive straight into real-world stories of agent connectivity in action. Hear from leaders at Amazon Web Services (AWS), Ellie.ai, Zebra Technologies, Ataccama, First Water Finance, RLTYco, Sisense, ServiceNow, and Google. ⚠️ 59% of enterprise leaders admit their data isn’t ready for AI. The hard truth: If your data isn’t ready, your AI won’t be either. Learn how leading enterprises are closing the gap. #CData #CDataFoundations #DataStrategy #AI #AIstrategy #TechEvents
CData Foundations 2025 - Day 2 Speakers
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🚀 Thrilled to share that I had the opportunity to attend the Google Cloud Technical Series – AI Agents Edition on 7th August 2025! This event went beyond a simple introduction — it was a deep dive into how AI Agents are reshaping the way businesses and engineers build intelligent, cloud-first solutions. Some of my biggest takeaways included: 🔹 Understanding the architecture of AI Agents and how they integrate with Google Cloud services to automate workflows, decision-making, and customer interactions. 🔹 Exploring real-world use cases where enterprises are deploying AI Agents to improve efficiency, reduce costs, and drive innovation at scale. 🔹 Learning about tools and frameworks within Google Cloud that accelerate AI development, from data ingestion and orchestration to secure deployment. 🔹 Discussions around responsible AI practices and governance, ensuring that AI systems remain transparent, reliable, and trustworthy. I’m grateful to Google Cloud for creating a platform where professionals can learn, ask questions, and connect over the next generation of cloud-powered AI. For me, this is not just about gaining a badge or certificate, but about continuously expanding my skills in data engineering, AI/ML, and cloud technologies — areas that are driving the future of tech. Looking forward to putting these learnings into practice and contributing to building smarter, scalable systems in my work. #GoogleCloud #AI #AIagents #CloudComputing #MachineLearning #ContinuousLearning
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EXCLUSIVE: Google's Agent-to-Agent Pioneer Reveals the Future of Enterprise AI 🚀 This is the conversation everyone in enterprise AI needs to hear. Philip Stephens, Senior Staff Software Engineer at Google and pioneer of Agent-to-Agent (A2A) interoperability, joins Michael Albritton, SVP of Cloud at CData Software, for an exclusive keynote that will reshape how you think about agentic AI systems. A2A is revolutionizing how enterprises design and scale collaborative AI agents—and you'll hear it straight from the team that built it at Google. What you'll discover: → How Google developed A2A and why adoption is exploding → Real lessons from early enterprise implementations → Best practices for designing agents that work together seamlessly → Google's roadmap for the future of agentic AI landscapes → How interoperable, data-driven agents can transform your AI strategy This isn't just another AI session—it's a rare opportunity to learn directly from Google's A2A team about the technology that's defining the next generation of enterprise AI. Don't miss this exclusive keynote: https://bit.ly/4kG6cJU #CData #CDataFoundations #TechEvents #Google #GoogleAI #A2A #AgenticAI #EnterpriseAI #AIStrategy #DataStrategy
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✨ Really proud to have Google’s A2A team join CData Software Foundations 2025. Don’t sleep on this keynote: https://lnkd.in/eXwM23WT A2A solves one of the biggest technical challenges in AI: agent interoperability at scale. 🔷 This keynote goes beyond buzzwords—real architecture, real case studies, and real lessons from Google. #AI #A2A #Google #CData #CDataFoundations
EXCLUSIVE: Google's Agent-to-Agent Pioneer Reveals the Future of Enterprise AI 🚀 This is the conversation everyone in enterprise AI needs to hear. Philip Stephens, Senior Staff Software Engineer at Google and pioneer of Agent-to-Agent (A2A) interoperability, joins Michael Albritton, SVP of Cloud at CData Software, for an exclusive keynote that will reshape how you think about agentic AI systems. A2A is revolutionizing how enterprises design and scale collaborative AI agents—and you'll hear it straight from the team that built it at Google. What you'll discover: → How Google developed A2A and why adoption is exploding → Real lessons from early enterprise implementations → Best practices for designing agents that work together seamlessly → Google's roadmap for the future of agentic AI landscapes → How interoperable, data-driven agents can transform your AI strategy This isn't just another AI session—it's a rare opportunity to learn directly from Google's A2A team about the technology that's defining the next generation of enterprise AI. Don't miss this exclusive keynote: https://bit.ly/4kG6cJU #CData #CDataFoundations #TechEvents #Google #GoogleAI #A2A #AgenticAI #EnterpriseAI #AIStrategy #DataStrategy
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Big news from FabCon Vienna: Yesterday, Microsoft announced that CluedIn is about to enter General Availability (GA) on Microsoft Fabric. So what does this mean? - CluedIn is to be one of just a small number of workloads natively visible inside Fabric - Anyone opening Fabric can now access CluedIn, right there on the page - Every Fabric user can instantly spin up a free CluedIn account Why is this important? This marks a huge step in our journey with Microsoft and our mission to make automated data cleansing available in Microsoft Fabric, using our AI to detect and resolve quality issues. We’re proud to be building alongside the Microsoft ecosystem and even prouder of the impact this will have for customers. Are you ready to ground your enterprise in clean, connected, governed data that's delivered faster than ever before? #CluedIn #MicrosoftFabric #AI #DataManagement #Azure #Fabcon
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Is a 727% ROI from technology just a dream? Not for businesses using Google Cloud Generative AI. Stop thinking of Generative AI as just a buzzword. For leading companies, it's a powerful engine for real-world results. A recent business value report from IDC sponsored by Google Cloud reveals just how impactful this technology can be. The study of nine organizations uncovered staggering financial and productivity gains: • A 727% three-year Return on Investment (ROI). • Investment payback in just 8 months. • A 36% increase in end-user productivity by automating manual tasks. • An average reduction of $3.29 million in annual operational costs. How are businesses achieving this? By leveraging Google Cloud's powerful AI platform, including Vertex AI and Gemini models, to transform key areas: 1. Content Creation: Radically speeding up the creation of marketing concepts, images, and text. 2. Application Development: Revolutionizing how software is built, with developers seeing productivity gains of 30-70%. 3. Data Enablement: Automating the extraction of complex data, reducing manual effort, and increasing accuracy. These numbers aren't theoretical—they represent a real competitive advantage. The question is, are you ready to make them your reality? Discover how Google Cloud Generative AI can deliver this level of value for YOUR business. Apply for DEMO here 👉🏻 https://lnkd.in/dB8wJbvS #GenerativeAI #GoogleCloud #BusinessValue #ROI #DigitalTransformation #AIforBusiness #TechInnovation #CostSavings #Productivity
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Foundations 2025 is 100% free + virtual. ✅ Day 1 (Data + Analytics) is complete. 🤖 Day 2 (The Future of Enterprise AI) is coming September 24: https://bit.ly/4kG6cJU We’ll kick things off with new product announcements + live AI demos—then dive straight into real-world stories of agent connectivity in action. Hear from leaders at Amazon Web Services (AWS), Ellie.ai, Zebra Technologies, Ataccama, First Water Finance, RLTYco, Sisense, ServiceNow, and Google. ⚠️ 59% of enterprise leaders admit their data isn’t ready for AI. The hard truth: If your data isn’t ready, your AI won’t be either. Learn how leading enterprises are closing the gap. #CData #CDataFoundations #DataStrategy #AI #AIstrategy #TechEvents
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Dive into Google Cloud's fascinating article on AI's groundbreaking impact on data science! Discover how AI-powered tools are propelling data scientists into a state of "flow" by streamlining fragmented workflows and eliminating mundane tasks 🧹. No longer burdened by constant context switching 🔄, professionals can now fully immerse themselves in their core strategic vision. Key takeaways: ✅ Unified Development Environments (UDEs): Integrated AI notebooks are putting an end to tool sprawl and language juggling 🤹♂️. ✅ Scalability: Tools like BigQuery DataFrames effortlessly handle petabyte-scale data 💾. ✅ Efficiency: With tools like BigQuery AI Query Engine, AI and machine learning are seamlessly integrated with data 📊, eliminating the need to export massive datasets. This paradigm shift elevates the role of the data scientist from a technical builder to a strategic guide 🧭, kindling greater creativity 💡 and accelerating progress 🚀. A must-read for anyone navigating the tech and data landscape 🗺️. #MachineLearning #GoogleCloud #Tech #Innovation #FutureOfWork https://google.smh.re/56Ep
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