How Databricks helps companies like Mastercard and Akamai with AI and data

Discover how RESIMAC achieved faster speed to insight and enabled AI innovation with the Modern Data Platform Launchpad. https://hubs.li/Q03GNvzn0 In this video, Steven Mellare, Head of Data and Architecture at RESIMAC explains how Launchpad has: 👉 Accelerated the integration of third-party AI products 👉 Supported advanced use cases like complex customer segmentation and proactive retention models 👉 Enabled a shift from legacy SSRS reporting to modern Power BI analytics 👉 Created a foundation for in-house machine learning workloads that continuously improve over time By moving workloads into the new RESIMAC data hub, built on Launchpad, the organisation has unlocked new possibilities in analytics, AI, and customer intelligence. Watch to learn how Launchpad is transforming data platforms and driving real business outcomes. https://hubs.li/Q03GNvzn0

Did you know? Around 99% of enterprise data sits unused — especially unstructured data that could supercharge GenAI. IBM watsonx.data is here to change that. It’s an open, hybrid data lakehouse that unlocks all your data — driving up to 40% higher AI accuracy than conventional RAG. Your unique data is your edge. Put it to work. Watch the video.  https://lnkd.in/g8QHQW7t #watsonx #watsonxdata #genAI #datalakehouse

🚨 What’s new in Predictive Analytics? A lot. From smarter ML models to real-time adaptive systems, predictive analytics in 2025 is about more than just forecasting — it's about foresight at scale. This isn’t just hype. We're seeing: ➡️ AI that learns in real time ➡️ Predictive models that explain why, not just what ➡️ Cloud-native architectures enabling instant analytics ➡️ Ethical AI frameworks becoming standard If you're building or using data systems, this is the roadmap to what’s next. Explore the full breakdown here: https://lnkd.in/dqbX9YUd #PredictiveAnalytics #TechInnovation #AITrends #MachineLearning #BigData #AnalyticsTrends #DigitalTransformation #DataDriven

𝗪𝗵𝗮𝘁 𝗶𝗳 𝘆𝗼𝘂𝗿 𝗕𝗜 𝘁𝗼𝗼𝗹𝘀 𝗮𝗻𝗱 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 𝗰𝗼𝘂𝗹𝗱 𝘀𝗽𝗲𝗮𝗸 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲? The frustrating reality of fragmented data definitions and conflicting semantic layers is a huge barrier to AI adoption today. But a new coalition of industry leaders, including Snowflake Salesforce dbt Labs BlackRock Mistral AI, is tackling this head-on with the Open Semantic Interchange (OSI). 𝗧𝗵𝗲 𝗴𝗼𝗮𝗹? A common, vendor-neutral semantic layer that allows teams to define metrics once and use them everywhere. This initiative is a critical step toward a more open, connected, and intelligent data world. 𝘞𝘩𝘢𝘵 𝘥𝘰 𝘺𝘰𝘶 𝘵𝘩𝘪𝘯𝘬 𝘵𝘩𝘪𝘴 𝘮𝘦𝘢𝘯𝘴 𝘧𝘰𝘳 𝘵𝘩𝘦 𝘧𝘶𝘵𝘶𝘳𝘦 𝘰𝘧 𝘥𝘢𝘵𝘢 𝘢𝘯𝘥 𝘈𝘐? 𝗥𝗲𝗮𝗱 𝗺𝗼𝗿𝗲: https://lnkd.in/eBbrErcs

Data Fabric isn’t just about connecting data—it’s about unleashing intelligence. 🧠 By weaving together distributed, structured, and unstructured data, a data fabric removes silos, ensures data governance, and prepares information for AI/ML at scale. With an AIoT Platform, enterprises move beyond fragmented systems into a unified, AI-driven data fabric—turning raw industrial data into actionable intelligence across assets, operations, and business models. To know more, visit: https://lnkd.in/g8E6MT72 #DataFabric #AIoT #Flex83 #DataPipelines #IndustrialIoT #DigitalTransformation 

Is your data ingestion strategy ready for the AI era? Our new whitepaper—Conquer the Data Deluge: Top 21 Data Ingestion Considerations for a Future-Ready AI Platform—unpacks: -21 must-have factors for robust, cloud-native ingestion  -The risks of poor ingestion—and how to avoid them  -How to modernize with up to 95% automation using LeapLogic 👉 Download the whitepaper now: https://lnkd.in/dPP47aCf #dataingestion #cloudnatieinjestion #AIPlatform #whitepaper

Unified AI and analytics, performance optimization, and open standards integration are driving Snowflake’s growth as companies prioritize AI-ready data. More via @VentureBeat. https://bdousa.com/42bGPcn

📖 Monte Carlo Deepens Databricks Collaboration with AI/BI and Unity Catalog Metrics Enhancements 🔗 https://lnkd.in/dcJqqdAe 💡 “As organizations scale their AI initiatives, the complexity of maintaining data quality across the entire stack becomes exponentially more challenging,” said Shane Murray, Head of AI at Monte Carlo. “Our expanded integrations with Databricks AI/BI and Unity Catalog Metrics address this gap by bringing observability to every layer—from raw pipelines to the semantic metrics that drive business-critical AI applications.” For more such updates, follow us on TechMediaGlobal.   #techmediaglobal #Publisign #B2BMarketing #LeadGeneration #SalesEnablement #NewBlog

AI is only as strong as the data behind it 📊 In this webinar, Ariel Pohoryles, Director of Product Marketing at Boomi, will be joined by Thomas McLaughlin, Data Delivery Lead at Huron and Yehoshua (Shuki) Cohen, VP of Data at AI21 Labs. Together, they’ll share insights on: ✅ The data capabilities essential for AI success ✅ Where leaders are investing to drive innovation + compliance ✅ Real-world examples of AI-ready data in action Whether you’re starting your AI journey or scaling enterprise-wide, this session will help you build the trusted foundation to harness AI with confidence: http://spklr.io/6044BJy1k #TeamBoomi

Most “AI problems” are actually data problems: duplicated logic, inconsistent definitions, and weekend CSVs. Replace spreadsheet chaos with pipelines, tests, and metadata so models see a clean, current, contextual truth. Modernize the stack—centralize your data, automate ingestion, enforce validation, document definitions, and add observability. Then connect your models/agents to that governed layer. The result: fewer hallucinations, faster decisions, and outcomes you can audit. If you’re exploring AI and want a pragmatic path from spreadsheet to system, let’s talk. (We run short AI Readiness sessions that map use cases → data → governance → ROI.)