How open standards like MCP and ACP are shaping the future of AI.

💬 "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: https://bit.ly/47XZlJd #AIintegration #EnterpriseAI #SemanticData #MCP #DataAccess #TechLeadership #CData

Not all AI is created equal. This new IDC Spotlight explains why the difference between AI-native and bolted-on AI matters more than ever. AI-native platforms are not retrofitting AI onto existing systems. They are built from the ground up with intelligence at the core. The result is less friction, smarter automation, and a fundamentally different user experience. Levelpath stands out as the leading AI-native procurement platform, delivering better workflows, more efficiency, and a delightful experience from day one. Download the IDC research now to learn more about what to look for, what to question, and why Levelpath stands out as truly AI-native. https://bit.ly/48eKOsD #Levelpath #AINative #DelightfulProcurement #IDC #Procurement

October Research from Patrick Reymann of IDC, read Value of AI-Native Procurement. Patrick's top 3 reported benefits of GenAI investments are improved customer satisfaction, improved business agility, and revenue growth https://bit.ly/48eKOsD #IDCresearch #Procurement https://lnkd.in/gkaNYn3a

Thank you to IDC Research Director Patrick Reymann on this newly published paper on AI-Native procurement platforms and what it takes. I love the observation that ChatGPT "exposed the critical difference between platforms designed with AI-native architecture —where every data structure anticipates machine learning (ML) and every workflow assumes intelligent automation —and traditional solutions that approached AI as an added feature.” The biggest difference I'd point out is that AI needs to help throughout the process. If you buy something, AI should help sort out suppliers, analyze bids, and align new contracts to corporate terms. If you have a new supplier, AI should enrich the supplier record, track risks, and give you an idea of next steps across the board to support the supplier relationship. It's not enough to just have AI at the start, then leave the rest to manual processes and outdated enterprise applications. Please check out the report from one of the top thought leaders in enterprise procurement!

Just built an MCP server bridging AI agents with enterprise data products. This solves AI's biggest challenge: accessing governed, high-quality business data at scale. Our implementation enables semantic understanding beyond raw data access - AI agents now comprehend data meaning, usage constraints, and governance rules automatically. This directly addresses the growing trend of AI governance frameworks demanding explainable, compliant AI systems. The implications are profound: enterprises can finally deploy AI confidently knowing data access is secure and governed, while AI agents deliver accurate business insights without compromising compliance. This represents a fundamental shift from treating AI as isolated tools to integrating them as trusted participants in our data ecosystems. How are you solving the AI-data governance challenge in your organization? #AI #DataGovernance #EnterpriseAI #DataMesh #AIInnovation #TechLeadership

In our latest article, we explore how organisations can unlock the full potential of AI by breaking down legacy data silos that fragment insight, slow innovation, and limit the effectiveness of AI agents embedded in CMS platforms. Key takeaways: - Why unified, high-quality data is essential for AI success  - How Unified Data Platforms provide a modern, AI-ready data foundation  - The role of AI agent tools in turning unified data into intelligent action  - Practical steps to audit, integrate, and govern your data estate If you're looking to scale AI across your organisation, this is a must-read. Read the full article:  https://bit.ly/47gYmSp   #AI #AIagents #enterpriseAI #digitaltransformation #datastrategy #CMS #contentmanagement

The open-source AI landscape is advancing rapidly with Zhipu AI's GLM-4.6. Boasting a 200k-token context window and stronger reasoning, it challenges top proprietary models. For established companies, this release underscores the increasing viability of leveraging open models for complex enterprise tasks like advanced RAG and analytics. With robust internal evaluation and safety measures, these powerful tools can be integrated into production environments, offering a path to cutting-edge capability without vendor lock-in. #AIForCEO #OpenSourceAI #DigitalTransformation For more articles like this, register to our weekly newsletter: https://lnkd.in/ejYfVBEQ

Technology spending in the MENA region is expected to reach $169 billion in 2026, with a growing focus on AI adoption. So, how do you ensure your enterprise is AI-ready?    At #ADIPEC2025, we're showcasing how the DS365.ai Suite enables seamless, scalable AI adoption across E&P workflows! Stop by Booth #5250 to learn how you can use pre-trained AI/ML models, develop and train custom models, and unify data with automated DataOps to accelerate enterprise innovation.     Learn more > http://bit.ly/3KTXRpL. #ADIPEC2025 #Halliburton #Landmark

One of the biggest blockers to enterprise AI adoption? Trust. That’s why I’m so excited about Cresta’s major enhancements to our Automated AI Agent Testing suite, giving enterprises the confidence to deploy faster, safer, and smarter. ✅ Every release validated with expert-aligned LLM judges ✅ Simulated visitors to test real-world scenarios ✅ Instant feedback loops to prevent repeat errors Big milestone for our team and for enterprises adopting AI at scale. Learn more about Automated AI Agent Testing in the blog: https://lnkd.in/eT23CWKS #CrestaAIAgent #AIagent

One of the biggest blockers to enterprise AI adoption? Trust. That’s why I’m so excited about Cresta’s major enhancements to our Automated AI Agent Testing suite, giving enterprises the confidence to deploy faster, safer, and smarter. ✅ Every release validated with expert-aligned LLM judges ✅ Simulated visitors to test real-world scenarios ✅ Instant feedback loops to prevent repeat errors 👏 Big milestone for our team and for enterprises adopting AI at scale. Learn more about Automated AI Agent Testing in the blog: https://lnkd.in/e3-2uSfr #CrestaAIAgent #AIagent