Telecom networks are evolving into AI-driven systems capable of sensing, learning, and adapting. That was one of my biggest takeaways from @IBM
’s telco discussions at #MWC26 Why autonomy is becoming operational intelligence. https://
linkedin.com/posts/haroldsi
nnott_mwc26-autonomousnetworks-ai-activity-7435253319603912705-RlWm
… #AI @MWCHub @GSMA
@haroldsinnott
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Telecom Networks Evolving into AI-Driven Autonomous Systems
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Telecom Industry Shifts Focus to Autonomous Networks Value
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One of the key shifts I observed at #MWC26: The telecom industry is moving from asking
“Can we automate networks?”
to asking
“How does autonomy drive measurable value?” Reflections from the @Ericsson pavilion. https://
linkedin.com/posts/haroldsi
nnott_mwc26-autonomousnetworks-ai-activity-7434671887907033089-9S4j
… #AI @MWCHub @GSMA @Ericsson -
Smart Metrics Shape Behavior in the Enterprise
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Smart metrics don't just measure performance, they shape behavior. If we're deploying #AI across the enterprise, we need guardrails against metric gaming from day one. Governance isn't a brake on innovation, it's what makes transformation durable. Especially as agentic systems
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Machine Learning and KPI Design: Choosing the Right Performance Signals
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How machine learning reframes KPI design: systems optimize relentlessly. So the real leadership question isn’t “Are we tracking performance?” It’s “Are we tracking the right signals?” https://
sloanreview.mit.edu/article/what-a
i-can-teach-us-about-designing-better-kpis/
… via @mitsmr #AI #MWC26 -
No-Code AI and Top 10 Machine Learning Trends for 2025
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How could you use no-code AI to boost your projects? Top 10 Machine Learning Trends to Watch in 2025 https://
graphite-note.com/machine-learni
ng-trends/
… #AI #MachineLearning #IoT #WMC26 #5G -
Autonomous Networks: From Telecom Engineering to AI Data Orchestration
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One of the clearest signals I observed at #MWC26: Autonomous networks are no longer just a telecom engineering story. Conversations at the @IBM booth highlighted something bigger, autonomy is becoming an AI and data orchestration challenge. My latest analysis.
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Autonomous Networks: From Automation to Economic Strategy at MWC26
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At #MWC26 one theme stood out at the @Ericsson pavilion: Autonomous networks are no longer just about automation.
They are becoming an economic strategy, where intent-driven architectures align network behavior directly with business KPIs. My latest analysis. -
AI Expansion to Edge Devices Demands Open 5G and AI-Native 6G
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#AI is leaving the data center for robots, sensors, drones, and #XR. It needs open, programmable #5G now and AI-native #6G next. 5G SA brings slicing, automation, and open APIs. Read more on Börje Ekholm’s blog: http://
m.eric.sn/QlCS50XXRZV via @ericsson #MWC26 -
Machine Learning Optimization and the Metric Gaming Problem in AI
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Machine learning doesn’t just optimize performance — it optimizes toward whatever we choose to measure. That’s why preventing metric gaming isn’t a side issue. It’s core to responsible AI and ML deployment at enterprise scale. Governance, incentives, and system design have to
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Sleep Awareness Week: Measuring and Improving Rest with Wearable Technology
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Sleep Awareness Week is a great reminder that getting better rest starts with understanding how we actually sleep. What I find fascinating is how wearable technology is turning sleep into something we can truly measure and improve. Today’s smartwatches and health trackers are