Dilshan S.’s Post

AI agents are changing how work gets done. Cloudera and CrewAI are helping businesses turn fragmented data into real-time insight with secure, scalable solutions across industries: https://shorturl.at/8BFDf

AI agents are changing how work gets done. Cloudera and CrewAI are helping businesses turn fragmented data into real-time insight with secure, scalable solutions across industries: https://shorturl.at/8BFDf

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

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://stwb.co/eezhasc #watsonx #watsonxdata #genAI #datalakehouse #IBMPartners

🚨 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

More than half of enterprise leaders plan to boost their data infrastructure spending and in some industries, that’s over $30M a year. Falling behind isn’t an option. Your data stack can be the engine that powers AI, agility, and growth. Explore the 9 proven moves top enterprises are using to build a resilient, real-time, and AI-ready stack. 👉 https://ow.ly/Y2rY50WVG1F #DataEngineering #DataInfrastructure #DataStack #AIReady #EnterpriseAI #DigitalTransformation #grazitti

#AI in the pipeline is failing, but not for the reason you think. It’s not the tools. It’s the design. Most AI pipelines break because of: 🔸 Messy source data 🔸 No governance between ingestion & modeling 🔸 No feedback loop upstream Pipelines aren’t plumbing problems — they’re design challenges. When done right, they deliver: ✅ Faster model refreshes ✅ Better observability ✅ Lower latency Smarter ingestion is where AI success begins. 💬 How’s your pipeline holding up? Let’s talk. https://lnkd.in/dK7hK-5G #AIpipelines #DataOps #DataTransformation #Snowflake #BlueCloud

In this article, Stu Alsop (intelliflo) takes a deeper dive into high performing practices, and how they run on quality data. The right data shines a light on what is working, and where improvements are needed, and creates the clarity to make better decisions. With a strong data foundation, advisers can unlock the gamechanging potential of AI to streamline processes, automate tasks, and position their practice for smarter, sustainable growth. Read full article here - https://lnkd.in/gX9i6Rri #financialplanning #financialadvisors

Working with data and AI can get messy. Separate stacks, silos and systems can only slow you down Discover how leading companies like Mastercard, Akamai Technologies, and the Indiana Pacers leverage Databricks to: -Build production-ready AI and multi-agent systems -Run a more cost-effective data warehouse -Break through silos to unlock insights -Democratize data and AI for your entire organization Watch on-demand: https://lnkd.in/g8J-5NDM

📜 After auto-converting over 1M lines of SQL across clients, we’ve learned 3 things: 1. Complexity scoring predicts hidden risks. 2. AI improves with custom rules per enterprise. 3. Documentation is as valuable as conversion itself. Scaling modernization takes both engineering + intelligence. #DataMigration #AIAccelerators #EnterpriseTech #DataEngineering #3XDataEngineering #3XDE