How to modernize legacy systems with Databricks on GCP

Recently, I’ve been working with #AWS infrastructure and exploring the power of AWS Bedrock for enterprise AI adoption. When your data lives in multiple formats across the enterprise, #Bedrock makes it easier to bring structure and intelligence together. By setting up a knowledge base with structured data, you can sync your data warehouse and start querying tables in plain human language. This means analytics teams and creators can prototype faster. For anyone building AI-powered solutions on enterprise data, Bedrock is proving to be a strong choice—scalable, secure, and ready to integrate with existing AWS workflows. It’s been exciting to see how these tools accelerate not just analytics, but collaboration across teams. Does it mean I can remove all data worries ! No. But this knowledge base become source to your agents to start using it more effectively in AI solution. #AWS #AWSBedrock #AI #GenerativeAI #CloudComputing #DataAnalytics #AIAdoption #EnterpriseAI #MachineLearning #Innovation #DigitalTransformation

AWS has the tools. Real skill lies in the use case to develop impactful solution. From S3 for storage, Bedrock for generative AI, vector databases for semantic search, to Lambda for serverless execution — AWS offers a complete pipeline to build powerful, scalable solutions. But here’s the catch: 🔍 The real challenge (and opportunity) is identifying domain-specific use cases with clear boundary conditions. Whether you're in: Testing: Automating flaky test detection or log analysis Finance: Streamlining reconciliation or fraud detection Production Support: Diagnosing recurring issues with AI-driven insights 💡 The magic happens when you connect the dots between your domain pain points and the AWS ecosystem. I think its still worth to learn domains not with the degrees, might be with help of AI 😁 Automation isn’t just about tools — it’s about insightful application. Curious to hear how others are leveraging AWS in their domains. Let’s share ideas! #AWS #Automation #Bedrock #Lambda #VectorDatabase #CloudComputing #AI #Testing #Finance #DevOps #Innovation

🚀 Customer Success Story: Matillion + AWS Bedrock Transform Data Integration! We're thrilled to showcase how Matillion is revolutionizing data integration using AWS Bedrock and Anthropic models. Building on our successful partnership since 2015, Matillion has developed an innovative AI co-pilot that's changing how data teams work. Key Highlights: • AI-powered co-pilot for building data pipelines • Seamless integration with Amazon Bedrock • Enhanced data transformation capabilities • Enabling customers to build their own AI applications This collaboration showcases how #GenerativeAI is transforming the #DataAnalytics landscape, making data professionals more productive than ever. Watch the case study or find more customer stories from software companies on our dedicated site: https://go.aws/45LPDIh #AWS #CloudComputing #AI #DataIntegration #Innovation #Technology #DigitalTransformation #Matillion

🚀 Customer Success Story: Matillion + AWS Bedrock Transform Data Integration! We're thrilled to showcase how Matillion is revolutionizing data integration using AWS Bedrock and Anthropic models. Building on our successful partnership since 2015, Matillion has developed an innovative AI co-pilot that's changing how data teams work. Key Highlights: • AI-powered co-pilot for building data pipelines • Seamless integration with Amazon Bedrock • Enhanced data transformation capabilities • Enabling customers to build their own AI applications This collaboration showcases how #GenerativeAI is transforming the #DataAnalytics landscape, making data professionals more productive than ever. Watch the case study or find more customer stories from software companies on our dedicated site: https://go.aws/3HQwcF4 #AWS #CloudComputing #AI #DataIntegration #Innovation #Technology #DigitalTransformation #Matillion

🚀 Customer Success Story: Matillion + AWS Bedrock Transform Data Integration! We're thrilled to showcase how Matillion is revolutionizing data integration using AWS Bedrock and Anthropic models. Building on our successful partnership since 2015, Matillion has developed an innovative AI co-pilot that's changing how data teams work. Key Highlights: • AI-powered co-pilot for building data pipelines • Seamless integration with Amazon Bedrock • Enhanced data transformation capabilities • Enabling customers to build their own AI applications This collaboration showcases how #GenerativeAI is transforming the #DataAnalytics landscape, making data professionals more productive than ever. Watch the case study or find more customer stories from software companies on our dedicated site: https://go.aws/4p2Cx14 #AWS #CloudComputing #AI #DataIntegration #Innovation #Technology #DigitalTransformation #Matillion

The data transformation we've all been waiting for is here. Remember when "big data" was the buzzword that made every boardroom light up? Those days feel almost quaint now. We're witnessing something fundamentally different – the shift from drowning in data to surfacing with superintelligence. At CloudZA, we're not just talking about another analytics upgrade. This is about AI that doesn't just process your data, it understands context, predicts patterns you haven't even considered, and generates insights that feel almost... intuitive. The AWS partnership isn't coincidental. When you're building systems that need to scale from terabytes to exabytes while maintaining millisecond response times, you need infrastructure that doesn't flinch. What excites me most? It's not the tech specs (though they're impressive). It's watching clients have that moment when they realize their data isn't just sitting there anymore – it's actively working, learning, evolving. The future isn't about having more data. It's about having data that thinks. Trust. Technology. Functionality. – exactly what you'd expect from a partnership that takes AI seriously. #CloudZA #GenAI #DataTransformation #AWS #TechInnovation #AWSPartner #BigData

The hardest part of #DataScience isn’t AI. It’s preparing the data for #AI. That’s why at #Frontier, we see #AWSGlue as a game-changer for our customers. With AWS Glue, teams can: 1. #ScaleServerless – Scale up or down automatically, no infra headaches. 2. #BuildVisually – Design pipelines in Glue Studio with drag-and-drop ease. 3. #KeepDataDiscoverable – Organize everything in a unified catalog. 4. #ApacheSparkManaged – Run fast without the operational overhead . From building #DataLakes to preparing #ML pipelines, Glue lets teams focus on #OutcomesOverOperations. At Frontier Business systems Pvt. ltd., we help organizations transform messy data into meaningful insights—delivered with speed, accuracy, and scale. #AWS #Glue #DataEngineering #MachineLearning #Analytics #Frontier Frontier Business systems Pvt. ltd. Amazon Web Services (AWS)

At the 2025 #CDOIQ Symposium, Atif Salam, Enterprise Technologist and CxO Advisor at @AWS , presented “Accelerating AI Innovation: Building Trusted Data Foundations with AWS.” With nearly 90% of #CDOs moving forward with #GenAI, strong #data foundations are critical. Atif shared how organizations can: 🔹 Build trusted #data architectures for AI readiness 🔹 Overcome barriers like governance gaps and siloed systems 🔹 Embrace responsible AI with built-in governance and security #CDO #CDOIQ2025 #datamanagement #AI #datagovernance #datascience #analytics

At the 2025 #CDOIQ Symposium, Atif Salam, Enterprise Technologist and CxO Advisor at @AWS , presented “Accelerating AI Innovation: Building Trusted Data Foundations with AWS.” With nearly 90% of #CDOs moving forward with #GenAI, strong #data foundations are critical. Atif shared how organizations can: 🔹 Build trusted #data architectures for AI readiness 🔹 Overcome barriers like governance gaps and siloed systems 🔹 Embrace responsible AI with built-in governance and security #CDO #CDOIQ2025 #datamanagement #AI #datagovernance #datascience #analytics

Autonomous AI is now running your data pipelines. This week’s standout: **Agentic AI is transforming data engineering workflows, automating everything from schema evolution to pipeline optimization**. Major platforms like AWS and Azure, plus lakehouse leaders like Databricks, are deploying these capabilities—and the impact is real. AWS cites a 45% drop in pipeline maintenance overhead, while Databricks users are launching pipelines 60% faster thanks to GenAI-powered assistants[1][3]. Why does this matter? For data engineers and ML teams, it means less firefighting and more time focused on high-value analytics. Onboarding new data sources, handling schema drift, and maintaining data reliability are being handled autonomously, accelerating innovation and keeping tech debt in check[1][3]. **Takeaway:** Now is the time to explore integrating agentic AI tools into your stack—they’re not just a trend, but a new baseline for data ops. How will this shift affect your team’s priorities—and what would you automate first? #DataEngineering #AIinData #Databricks #MLOps #CloudData