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#AR-Powered Sports Competitions Are Transforming the Future of Athletics
— Ronald van Loon (@Ronald_vanLoon) 27 avril 2026
via @ZappyZappy7
#VR #VirtualReality #AugmentedReality pic.twitter.com/7ccDp3fqy6
#AR-Powered Sports Competitions Are Transforming the Future of Athletics
via @ZappyZappy7 #VR #VirtualReality #AugmentedReality
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#Robots Take Over the Kitchen: #Automation Meets Cooking
— Ronald van Loon (@Ronald_vanLoon) 27 avril 2026
by @lukas_m_ziegler#Robotics #EmergingTech #Technology #Innovation #TechForGood pic.twitter.com/rLONiAyTNF
#Robots Take Over the Kitchen: #Automation Meets Cooking
by @lukas_m_ziegler #Robotics #EmergingTech #Technology #Innovation #TechForGood
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Google puts #AIAgents at heart of its enterprise money-making push
by @kenrickcai @reuters Learn more: https://
bit.ly/4cuyQwH #GenerativeAI #ArtificialIntelligence #MachineLearning #ML
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NAVIAI-I3: Zhejiang’s Next-Gen Robust Humanoid #Robot Launch
— Ronald van Loon (@Ronald_vanLoon) 27 avril 2026
by @CyberRobooo#Robotics #MachineLearning #ArtificialIntelligence #AI #ML pic.twitter.com/ddPma01UQU
NAVIAI-I3: Zhejiang’s Next-Gen Robust Humanoid #Robot Launch
by @CyberRobooo #Robotics #MachineLearning #ArtificialIntelligence #AI #ML
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Humanoid #Robot Powers Through Repetitive Packaging Tasks in #Logistics Centers
— Ronald van Loon (@Ronald_vanLoon) 27 avril 2026
via @ZappyZappy7#Robotics #EmergingTech #Technology #Innovation pic.twitter.com/rE5rBMuDim
Humanoid #Robot Powers Through Repetitive Packaging Tasks in #Logistics Centers
via @ZappyZappy7 #Robotics #EmergingTech #Technology #Innovation
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Faster Than Human Reflexes: A #Robotic Hand Redefining Speed and Precision
— Ronald van Loon (@Ronald_vanLoon) 27 avril 2026
by @sciencegirl
#Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/UgL3C57K7M
Faster Than Human Reflexes: A #Robotic Hand Redefining Speed and Precision
by @sciencegirl #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology
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Here’s the bottom line: AI won’t be won by who moves fastest.
It’ll be won by who governs best. If your data isn’t structured, contextualized, and controlled, scaling AI will only amplify problems. I break this down in detail in my latest video with Collibra. Check out the
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The real bottleneck isn’t models. It’s unstructured data. I saw a side-by-side demo that made this obvious: → Raw data environment
• lower accuracy
• higher risk
• inefficient outputs → Metadata-enriched environment
• better decisions
• faster results
• measurable
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The biggest misconception? Speed = progress. In reality: → Teams are innovating faster than they can govern
→ Outputs are inconsistent and hard to trust
→ Risk is increasing quietly in the background Without a solid data foundation, AI lacks context. And without context,
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Everyone thinks they’re scaling AI. Most are just scaling chaos. What I’m seeing, including in conversations with @collibra
, is a dangerous illusion → faster experimentation
→ more pilots
→ zero control The gap between AI ambition and actual business value is widening.