MIT Media Lab research reveals 95% failure rate for AI pilot projects due to lack of commitment and investment in data governance and management.

At the 2025 #CDOIQ Symposium, Dr. Salomon de Jager and Dr. Imad Syed of PiLog Group presented PiLog Data Quality & Governance Suite – Powered by AI with Quantum Vision. They showed how concepts like superposition, entanglement, and interference can inspire next-generation approaches to #dataquality — delivering real-time insights, automated #governance, and autonomous decision-making at scale. Their session spotlighted how quantum-inspired models can transform enterprise #data into a foundation for resilient, AI-driven operations. #CDO #CDOIQ2025 #datamanagement #AI #datagovernance #datascience #analytics

At the 2025 #CDOIQ Symposium, Dr. Salomon de Jager and Dr. Imad Syed of PiLog Group presented PiLog Data Quality & Governance Suite – Powered by AI with Quantum Vision. They showed how concepts like superposition, entanglement, and interference can inspire next-generation approaches to #dataquality — delivering real-time insights, automated #governance, and autonomous decision-making at scale. Their session spotlighted how quantum-inspired models can transform enterprise #data into a foundation for resilient, AI-driven operations. #CDO #CDOIQ2025 #datamanagement #AI #datagovernance #datascience #analytics

Are you currently exploring how AI can deliver public services in a quicker, innovative and more efficient way? This white paper is worth the read! #govtech#slednation#statecdo

MIT report: 95% of generative AI pilots at companies are failing | Fortune MIT’s latest study shows a sobering fact: 95% of enterprise GenAI pilots fail to deliver business impact, not because the models are weak, but because they lack the right data foundation and integration. This is exactly the gap Denodo closes. With logical data management and Denodo AI, organizations get governed, real-time access to trusted data, embedded directly into workflows. That means GenAI isn’t an isolated experiment, but a driver of measurable outcomes. The difference between hype and impact often comes down to how well your AI is connected to your data. That’s where Denodo makes AI work. #AI #DataManagement #DenodoAI #EnterpriseInnovation

A new MIT study reveals that a staggering 95 percent of organizations see no financial returns from their generative AI investments—even after deploying over $30–40 billion into these technologies. Most AI pilot programs remain stuck in experimentation, offering productivity gains at best but no profit. Read more: https://lnkd.in/g6cghfiR . . . #newsibleasia #airealitycheck #mitstudy #genai #investmentbubble #techroi #productivityparadox #businesstech

“RAG (retrieval-augmented generation) is quietly becoming the foundation of enterprise AI” When AI misfires in enterprise settings, it’s more than a glitch, it erodes trust and impacts business outcomes. The future of enterprise AI won’t hinge on hype or scale but it will be won by solutions that are consistently reliable, deeply integrated with data, and whose accuracy you can measure. I’m thrilled to be part of this journey. The real question isn’t whether RAG will become standard in enterprise AI—it’s how quickly it will. Curious to hear: What do you think is the biggest blocker to GenAI adoption in enterprises today? #GenerativeAI #EnterpriseAI #InformationRetrieval #AIInnovation #RetrievalAugmentedGeneration

Quan Pham from PI.EXCHANGE shares a simple tip for making AI projects pay off. Start with strong data governance. When data is clean and well-managed, the cost of implementation decreases and results improve. Many teams still spend most of their time collecting and preparing data. He also points out that success depends on having clear goals for what AI should deliver. Without that, it is easy to waste effort. Full episode here: https://lnkd.in/gGNMhUFP #ai #roi #datagovernance #machinelearning #businessgrowth #digitaltransformation #roifromai #aipodcast

💸Where’s the ROI? A whopping 95% of #GenerativeAI pilots stall—according to a recent Massachusetts Institute of Technology report—and Gartner predicts >40% of #AgenticAI projects will be canceled by 2027. In the 3 years since #GenAI burst onto the scene, #AI has only grown more complex. The winners in the AI race will be those who leverage models to build trusted, governed, ROI-positive systems—at speed. Qlik’s Sean Stauth and Chris Mabardy share how to cut through complexity with trusted, strategy-first AI. https://bit.ly/4mi2hUw #QlikAnalyze #QlikPredict #QlikAnswers #QlikAutomate

Consistent classifications built on structured, reliable datasets are key to AI readiness. Here’s how we did it for global thematic funds: http://spr.ly/6040fvagY See the flows below filtered by the technology theme and the artificial intelligence and Big Data subtheme. #Morningstar #WhereDataSpeaks #AIinFinance

Consistent classifications built on structured, reliable datasets are key to AI readiness. Here’s how we did it for global thematic funds: http://spr.ly/6040fvagY See the flows below filtered by the technology theme and the artificial intelligence and Big Data subtheme. #Morningstar #WhereDataSpeaks #AIinFinance