The real shift is this: We are moving from one-way messaging
to two-way, outcome-driven conversations. That means a customer should be able to: → ask a question
→ get a real answer
→ change an appointment
→ buy a product
→ solve the issue All inside the same thread. Not
ENTERPRISE AI
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Two-Way AI Conversations Transform Customer Engagement Strategy
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Real Conversational AI Needs Context, Systems Access, Action
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The biggest mistake I see: Companies add AI, upload FAQs, and call it transformation. That is not transformation.
That is a slightly smarter auto-reply. Real conversational AI needs 3 things: → context from the customer history
→ access to business systems
→ the ability to -
AI Transforms Customer Messaging Into Intelligent Conversations
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Most companies still treat customer messaging like a megaphone.
— Ronald van Loon (@Ronald_vanLoon) 29 avril 2026
Send update.
Push campaign.
Wait.
But AI is changing the rules fast:
The future is not better messaging.
It is conversations that actually get things done.
That is the big idea I unpacked with @GiorgioPagliara… pic.twitter.com/ldir5dViJ5Most companies still treat customer messaging like a megaphone. Send update.
Push campaign.
Wait. But AI is changing the rules fast: The future is not better messaging.
It is conversations that actually get things done. That is the big idea I unpacked with @GiorgioPagliara -
Nighttime Robots Build Digital Twins of Retail Stores
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Nighttime #Robots Build #Digital Twins of dm-Drogerie Markt Stores
— Ronald van Loon (@Ronald_vanLoon) 29 avril 2026
by @lukas_m_ziegler
#Robotics #ML #EmergingTech #Innovation #Technology pic.twitter.com/WWrYcf32qZNighttime #Robots Build #Digital Twins of dm-Drogerie Markt Stores
by @lukas_m_ziegler #Robotics #ML #EmergingTech #Innovation #Technology -
Fix Your Data: The Hidden Foundation of AI Success
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The best thing companies about AI right now has almost nothing to do with AI. Fix your data. This is the same pattern I keep seeing. Everyone wants the exciting layer:
copilots, agents, demos, dashboards. Almost nobody wants the foundation:
definitions, ownership, -
Using IoT for Predictive Maintenance in Industry
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How to Use #IoT for Predictive Maintenance
by @antgrasso #InternetOfThings #DigitalTransformation #Innovation #Technology #Tech -
X7 Humanoid Robot Dispensing Medicines in Hospitals
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Meet X7: The Humanoid #Robot Helping Dispense Medicines in Hospitals
— Ronald van Loon (@Ronald_vanLoon) 29 avril 2026
by @CyberRobooo#Robotics #MachineLearning #ArtificialIntelligence #Innovation #Technology #AI #ML pic.twitter.com/AxS83QAAu5Meet X7: The Humanoid #Robot Helping Dispense Medicines in Hospitals
by @CyberRobooo #Robotics #MachineLearning #ArtificialIntelligence #Innovation #Technology #AI #ML -
Claude AI Now Capable of CAD Design Tasks
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Holy f*ck.
— Charly Wargnier (@DataChaz) 29 avril 2026
Claude can do CAD now.
CAD designers: https://t.co/x0C29W4iJo pic.twitter.com/tYedOnolevHoly f*ck. Claude can do CAD now. CAD designers:
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AI Model Unpredictability Impact on Production Workflows
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The behavior and knowledge changes being unpredictable is the core issue. Model improvements are fine. Unpredictability in a tool you've built workflows around is not.
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7 AI Agents to Replace Your Team While You Sleep
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I have published an episode on @ivoox
: "#1121: 7 AI agents that can truly replace a large part of your team while you sleep #podcast