How prepared are enterprise leaders for AI maturity?

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

The future of data is hybrid, where humans and machines share the table 🤝. On this episode of The Data T, CEO and Co-Founder of Hakkōda, an IBM Company, Erik Duffield, breaks down what it really takes to build an #AI-ready data program, from shifting design patterns to preparing and governing data for machine consumption. He explains why the move to AI isn’t just about new technology but about fundamentally changing how data is served, consumed, and trusted 🔒. Hear how leading organizations are embracing this shift to unlock the full potential of AI: https://lnkd.in/gC2MzfdG

Many enterprises are caught between the need for rapid AI deployment and the critical demands of compliance, data sovereignty, and building long-term trust. The key isn't to choose one over the other, but to embed governance directly into your data fabric. At Infinity Data AI, we engineer intelligent data systems where responsibility and innovation accelerate together—ensuring your AI is not only powerful but also principled. Ready to engineer your intelligent data future? Read our whitepaper: https://lnkd.in/d25GG69J #AI #DataGovernance #ResponsibleAI #DataSovereignty #Innovation #InfinityDataAI

Data alone isn’t enough to drive enterprise AI success — it’s about turning that data into actionable knowledge 🧠⚙️. This article dives into why context, structure, and accessibility are key to unlocking AI’s full potential in the enterprise. A must-read for anyone navigating the shift from raw data to real intelligence 💡📊. More information available at: https://msft.it/6046stf1w

How is your data readiness shaping your AI initiatives? Todd Randolph from KPMG shares insights into the Oracle AI Data Platform's role in transforming business processes. Explore how secure, unified data can accelerate smarter decisions and operational efficiency in the latest blog post. #OracleAI #DataPlatform #Innovation https://bit.ly/4nldlkk

DCIG, LLC. shares their take on our bold vision for data infrastructure, revealed at #AnalystLive2025, and how Hitachi Vantara is helping enterprises build the foundation to unlock AI’s full potential: https://lnkd.in/dc-ahpDD

Hitachi Vantara has been using sensor data in autonomous self-driving cars like Telsa for years to harness AI/ML capabilities for consumers. Hitachi has proven our VSP-Block & Object storage accelerates GPU processing power to deliver faster data insights and business outcomes. The attached article gives more reasons why & how Hitachi storage should be considered for your next storage investment.

Risk mitigation budgets swell as enterprise AI adoption grows: Governing AI comes at a cost with most organizations increasing oversight investments in the next financial year, according to OneTrust data. http://dlvr.it/TNNPqq

Risk mitigation budgets swell as enterprise AI adoption grows: Governing AI comes at a cost with most organizations increasing oversight investments in the next financial year, according to OneTrust data. http://dlvr.it/TNNPrg

AI isn’t short of features. What we’re short of… are better blueprints. Without strong foundations - data, integration, governance, AI initiatives quickly turn into experiments without impact. The question isn’t “What can AI do?” It’s “What can we architect so AI delivers real value?” Curious to hear: what’s the single biggest “blueprint gap” you see in organisations right now? #BetterBlueprints #AIArchitecture #FutureOfCRM #SalesforceArchitect #EnterpriseArchitecture #TechLeadership #InnovationInAction