Mantra wires your enterprise with AI-ready data — federated, contextualized, and intent-resolved — so any agent can deliver insights you can trust.
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AI accuracy doesn’t fail because models can’t write SQL — it fails because enterprises underestimate the cost and complexity of engineering business context at scale.
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AI initiatives aren't stalling because the technology isn't ready — they're stalling because most enterprise data architectures were designed for centralized warehouses and predictable questions, not distributed data...
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2026 is when AI pilots have to become production systems — here are the five infrastructure shifts that separate the companies who scale from those stuck explaining why their AI investments haven't delivered ROI.
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Self-service data management is no longer optional — here's what separates the organizations getting it right from those falling behind.
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On the latest episode of The AI Data Fabric Show, Generac CDO Neil Bhandar joins Promethium CEO Prat Moghe to discuss navigating data leadership across industries and why CDOs must speak the language of business, not...
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Despite the explosion of 'talk to your data' agents, most fall short of production-grade accuracy — here's why the problem is architectural, not just about better LLMs.
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While 77% of organizations prioritize AI-ready data investments, most struggle to define what 'ready' actually means — and that gap is why 60% of AI initiatives fail.
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AI-ready data isn’t achieved through fabric or mesh alone — it’s the synergy between unified data access and distributed ownership that makes self-service and trustworthy AI possible.
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On the latest episode of The AI Data Fabric Show, Rubrik CIO & CDO Ajay Shablok joins Promethium CEO Prat Moghe about how to build a IT function from 0 to IPO scale and other lessons learned.
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Everyone talks about data fabric ROI, but few share real numbers. Discover measurable success metrics, common mistakes, and the buy vs. build impact on business value.
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Data fabrics with semantic understanding are emerging as the critical infrastructure layer that transforms connected data into understood intelligence — making the difference between AI projects that fail and those...
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In Parts 1 and 2, we explored the fundamental choice between open and closed data fabric architectures, and examined the hidden costs of Microsoft Fabric’s migration requirements. Now comes the crucial question:...
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