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87% of CDOs prioritize AI, but only half show real business impact. The difference? Strategic alignment over experimentation. Read how Microsoft, Toyota and McKesson transformed AI into measurable value. #AIStrategy #DataGovernance

SMART READ ON AI ADOPTION - a classic Harvard Business Review article on the role of #experimentation as a crucial part of AI adoption. My thanks to Bob Sutton for drawing my attention to it. There are a number of excellent illustrative examples where using rigorous experimentation protocols (versus classic pilots) can make the world of difference. Great examples from Microsoft and Siemens gave the article added depth and applicability. The summation line really does highlight the challenge and opportunity: "Here’s the uncomfortable truth: While you’re debating gen AI strategy, your competitors may be systematically learning what works. By embracing experimentation as a discipline, businesses can transform uncertainty into a source of strategic differentiation, and in doing so they can shape the future of work." Thank you to the authors - Johannes Berndt Florian Englmaier Raffaella Sadun Jorge Tamayo Nik von Hesler Article here - https://lnkd.in/gyFV2Xdr?

Everyone’s talking about AI. But only a few are ready for it. At Durapid Technologies, we’ve identified the 5 signs of true AI readiness — from connected data to real ROI. Together with Microsoft’s powerful AI stack, we help you move beyond hype to measurable business impact. The question isn’t “Can you use AI?” It’s “Is your business built for it?” #DurapidTechnologies #MicrosoftPartner #AITransformation #FutureReady #DataAndAI

The GenAI Divide: State of AI in Business 2025, published by MIT’s NANDA initiative. It found that 95% of enterprise generative AI (GenAI) projects failed to deliver measurable financial impact. This report is a wake-up call for enterprises: 1. Treat AI as infrastructure, not a shiny toy. 2. Align AI initiatives with real business outcomes. 3. Build feedback loops and enterprise memory into every deployment. #GenAI

**Deep understanding of workflows** - MIT and other recent research keep pointing to the same lesson: when AI solutions don’t map to real business workflows, they stall in pilot. We learned this firsthand. We built an AI agent and hoped it would “self-learn” toward the best outcome. After a few evals, the truth was obvious: we needed an orchestrator — a control layer to route tasks across multiple AI components, apply business rules up front, and deliver an end-to-end result users could trust. **Takeaway:** If you want AI to graduate from experiment to production, don’t just buy a model. Build an orchestrator that speaks your workflows — intent routing, policy pre-checks, retrieval/grounding, validation, and human-in-the-loop where it matters. #ai #business #workflow

In the next three years, AI won’t just automate tasks — it will reshape operating models. Functions won’t own systems; they’ll own intelligence. Workflows will evolve around continuous learning loops — where data, humans, and models co-create outcomes. Leaders who succeed won’t just adopt AI — they’ll re-architect how work gets done. The question isn’t “What AI should we use?” It’s “What should our business look like in an AI-native world?” Learn how to turn AI vision into execution: 👉 https://lnkd.in/eTsxBcUW #FutureofAI #AITransformation #EnterpriseInnovation #AIOperatingModel #TechGenetix #DigitalEvolution

Is the future of generative AI running on empty? 🤖 A new article highlights a looming data shortage for LLMs. The key is not to panic, but to prepare. The real solution for businesses? Getting your own data house in order. Clean, structured, and legally-usable proprietary data will be your most valuable asset, no matter how the AI landscape evolves. 🚀 Read the full story: https://imsap.co/6043AxTNf

Is the future of generative AI running on empty? 🤖 A new article highlights a looming data shortage for LLMs. The key is not to panic, but to prepare. The real solution for businesses? Getting your own data house in order. Clean, structured, and legally-usable proprietary data will be your most valuable asset, no matter how the AI landscape evolves. 🚀 Read the full story: https://imsap.co/6040Aq0Ir

Overwhelmed by the choices in the AI world? So are we... This is how we see things: ❌ AI isn’t meant to be another tool you have to learn. ✅ It’s meant to become part of how your business already runs. At AIMAI, we help you make that jump - from experimenting with AI to getting results that actually matter. Think on these 3 questions: If AI replaced 100 tasks in your business, what would be different? If AI replaced 100 tasks in your competitors business, what would happen? How do you feel about these 2 visions? #AIMAI #ArtificialIntelligence #BusinessAutomation #Productivity #DigitalTransformation #AIForBusiness #WorkSmarter #AIAgents #CustomAI

Our new 2025 AI Readiness Index showcases how "Pacesetters" are setting the benchmark for AI success. These organizations are four times more likely to have moved AI use cases into production and exhibit significantly higher confidence in getting financial value from their AI investments. Get the data and understand ways to help strengthen your organization's AI foundation 🌏 https://cs.co/6042AN6no