CData Software's Connect AI for enterprise data integration and AI applications

💬 "AI needs to comprehend what data means—not just where it lives." That’s the foundation of Connect AI, the first managed Model Context Protocol (MCP) platform that gives AI assistants, workflows, and apps real-time access to semantically rich enterprise data—governed and secure. With Connect AI, companies go beyond experimentation to deploy AI they can trust. ⬇️ Learn more about how this milestone is reshaping enterprise AI! #AIintegration #EnterpriseAI #SemanticData #MCP #DataAccess #TechLeadership #CData CData Software

💬 "AI needs to comprehend what data means—not just where it lives." That’s the foundation of Connect AI, the first managed Model Context Protocol (MCP) platform that gives AI assistants, workflows, and apps real-time access to semantically rich enterprise data—governed and secure. With Connect AI, companies go beyond experimentation to deploy AI they can trust. ⬇️ Learn more about how this milestone is reshaping enterprise AI! #AIintegration #EnterpriseAI #SemanticData #MCP #DataAccess #TechLeadership #CData CData Software

💬 "AI needs to comprehend what data means—not just where it lives." That’s the foundation of Connect AI, the first managed Model Context Protocol (MCP) platform that gives AI assistants, workflows, and apps real-time access to semantically rich enterprise data—governed and secure. With Connect AI, companies go beyond experimentation to deploy AI they can trust. ⬇️ Learn more about how this milestone is reshaping enterprise AI! #AIintegration #EnterpriseAI #SemanticData #MCP #DataAccess #TechLeadership #CData CData Software

💬 "AI needs to comprehend what data means—not just where it lives." That’s the foundation of Connect AI, the first managed Model Context Protocol (MCP) platform that gives AI assistants, workflows, and apps real-time access to semantically rich enterprise data—governed and secure. With Connect AI, companies go beyond experimentation to deploy AI they can trust. ⬇️ Learn more about how this milestone is reshaping enterprise AI! #AIintegration #EnterpriseAI #SemanticData #MCP #DataAccess #TechLeadership #CData CData Software

💬 "AI needs to comprehend what data means—not just where it lives." That’s the foundation of Connect AI, the first managed Model Context Protocol (MCP) platform that gives AI assistants, workflows, and apps real-time access to semantically rich enterprise data—governed and secure. With Connect AI, companies go beyond experimentation to deploy AI they can trust. ⬇️ Learn more about how this milestone is reshaping enterprise AI! #AIintegration #EnterpriseAI #SemanticData #MCP #DataAccess #TechLeadership #CData CData Software

Cloudera expands its Enterprise #AI Ecosystem with four new partners to enhance predictive modelling, workflow automation, and AI observability for businesses, designed to deliver production-ready artificial intelligence solutions for customers. The new partnerships with ServiceNow, Fundamental, Galileo.ai, and Pulse aim to strengthen Cloudera's AI capabilities and address areas including predictive modelling, workflow automation, document intelligence, and AI observability. https://lnkd.in/gDGBK87R

Excited to be featured in CData Software latest announcement on solving enterprise AI's biggest challenge! As I noted in the article: "Organizations are struggling to scale AI because data is often siloed, inconsistent, or poorly governed, creating risk and inefficiency. Many AI initiatives stall as companies wrestle with integrating multiple data sources while maintaining compliance." CData's new Connect AI platform directly addresses these challenges by providing governed, real-time access to 300+ enterprise data sources while preserving critical semantic context and relationships. What makes this significant is how it transforms AI from experimental to practical, giving AI applications the contextual intelligence they need while maintaining security through inherited permissions and authentication protocols. Congratulations to the CData team on this launch! For those interested in breaking through AI deployment barriers, this solution represents a meaningful step forward in making enterprises truly "AI-ready." #EnterpriseAI #DataIntegration #AIGovernance #DataManagement #AIStrategy, Beth Winkowski, Omdia, Enterprise Strategy Group (part of Omdia) https://lnkd.in/ezZUe2CV

Enterprise IT vendors are moving to position themselves for the AI era. As subsequent M&A activity picks up, a tendency to bolt together "AI stacks" for IT teams should be challenged. True value from enterprise AI will come from empowering those familiar with the context that makes business processes tick: business users and analysts. In my latest article for @TechRadarPro I discuss how the AI Data Clearinghouse process helps address the root causes of stunted enterprise AI rollouts by empowering businesses to uncover transparent, trusted AI use cases. Read more here: https://lnkd.in/gVqumAfJ

Cloudera expands its Enterprise AI Ecosystem! By partnering with ServiceNow, Fundamental, Pulse, and Galileo.ai, Cloudera now offers end-to-end, production-ready AI solutions that turn enterprise data structured and unstructured into intelligent, governed actions. “The Enterprise AI Ecosystem has become a cornerstone of our strategy to help large enterprises navigate the complexities of AI adoption,” said Abhas Ricky, Chief Strategy Officer at Cloudera. From predictive analytics to AI workflow automation, enterprises can scale AI across operations with confidence, transparency, and compliance. Know how Cloudera is helping companies become truly AI-native:- https://lnkd.in/dCsmUjF2 #Cloudera #EnterpriseAI #AIEcosystem #DataIntelligence #AIWorkflow #MachineLearning #DigitalTransformation #PredictiveAnalytics #AIAtScale #bestplacetowork #ittechpulse

As Ken highlights here, there's no AI without data, and the most valuable data is likely locked away and significantly difficult to access without highly adaptable integration technology.