One reflection from the discussions at MWC is that digital inclusion is not only about expanding connectivity. Infrastructure is essential, but real participation in the digital economy also depends on skills and sustainable models that make networks viable in remote regions.
BUSINESS
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AI-Powered Urban Planning Innovation Challenge India
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Showcase your AI-powered urban planning innovations and help enable data-driven infrastructure development with the Government of Andhra Pradesh—shaping how cities plan roads, mobility systems, and essential infrastructure for the future. The IndiaAI Innovation Challenge for
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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 -

Global Accelerator Phase II Connects Indian AI Startups Europe
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The Global Accelerator – Phase II is Now Open! Bigger ambitions. Stronger bridges. Global possibilities. The Global Accelerator Program – Phase II is back, creating a powerful bridge between India’s most promising AI startups and the European innovation ecosystem. Designed to
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CLI vs MCP: Single-User Hackers Versus Enterprise Teams
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CLI: Good for single-user mode, hackers.
MCP: Good for multi-user mode, teams/enterprises. -

REG4Rec: AI Model Grasps Diverse User Shopping Intents
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Can AI truly understand the diverse reasons behind your every shopping click for perfect recommendations? Alibaba Group and Wuhan University researchers present REG4Rec, a generative model that builds multiple dynamic reasoning paths, allowing AI to grasp diverse user intents,
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CLI vs MCP: Single-User Hackers vs Enterprise Teams
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Agree. There's a ton of enterprise value. I tend to think: * CLI good for single-user mode, hackers
* MCP good for multi-user mode, teams/enterprises -
Nvidia Invests $26 Billion Building Open-Weight AI Models
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WIRED: Nvidia Will Spend $26 Billion to Build Open-Weight AI Models, Filings Show
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Glass Lewis to end uniform proxy voting recommendations in 2025
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I think at that point it might be more beneficial to have distribution already, like an audience you built up that trusts you, which I try to do on here
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Canadian Pension Funds Ownership and Workforce Implications
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I think this collective feeling of "I don't enjoy coding anymore because it's so easy with AI" is good to talk about and realize, and I have it too I miss going to bed with a coding challenge I have to get through and then wake up and in the shower I get the answer and I scream
