AI Transformation A Leader's Guide to Business Readiness more at jituonline.in/ai-transformat…

This chart shows how long it would take a computer to hack your exact password wef.ch/3GMDtQd #CyberSecurity #tech rt @wef

Satellite IoT: How Non-Terrestrial Networks Extend Global Coverage iotbusinessnews.com/2026/03/18/sat… #SatelliteIoT #MegaConstellations

AI startups in 2026 are no longer judged on vision. They’re judged on execution. Does it work in production? Does it scale? Does it hold up over time? “VC-backable” now means proof, not promise. From Vision to Venture → microsoft.com/en-us/startups…

𝐒𝐦𝐚𝐫𝐭 𝐅𝐚𝐫𝐦𝐢𝐧𝐠: 𝐖𝐡𝐲 𝐭𝐡𝐞 𝐖𝐨𝐫𝐥𝐝'𝐬 𝐅𝐨𝐨𝐝 𝐒𝐲𝐬𝐭𝐞𝐦 𝐍𝐞𝐞𝐝𝐬 𝐚 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐍𝐞𝐫𝐯𝐨𝐮𝐬 𝐒𝐲𝐬𝐭𝐞𝐦 According to global reports: • An estima�𝐥 𝐟𝐨𝐨𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐞𝐝 𝐢𝐬 𝐥𝐨𝐬𝐭 𝐛𝐞𝐟𝐨𝐫𝐞 𝐢𝐭 𝐫𝐞𝐚𝐜𝐡𝐞𝐬 𝐚 𝐩𝐥𝐚𝐭𝐞. • Drought, floods, and soil degradation cause $𝟐𝟗𝐁 𝐢𝐧 𝐚𝐧𝐧𝐮𝐚𝐥 𝐜𝐫𝐨𝐩 𝐥𝐨𝐬𝐬𝐞𝐬 (FAO 2023); 𝟒𝟎% of farmland faces soil degradation risk • 𝟏.𝟒 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 smallholder adults are unbanked (World Bank 2023); informal loan rates run at 𝟑𝟓–𝟔𝟎% APR • Farmers receive only 𝟏𝟎–𝟐𝟓% of the retail food price; post-harvest loss runs at 𝟏𝟔–𝟒𝟎% (ICAR Maharashtra) • No verifiable digital identity means no subsidy access, no insurance, no carbon income , $𝟏𝟐𝟎𝐁 in subsidies annually fails to reach intended recipients (World Bank) The global food system is failing from lack of intelligence at scale - a structural failure to connect knowledge, data, and resources to the 𝟔𝟎𝟖 𝐦𝐢𝐥𝐥𝐢𝐨𝐧 𝐟𝐚𝐫𝐦𝐬 𝐭𝐡𝐚𝐭 𝐟𝐞𝐞𝐝 𝐭𝐡𝐞 𝐰𝐨𝐫𝐥𝐝. 𝐒𝐦𝐚𝐫𝐭 𝐅𝐚𝐫𝐦𝐢𝐧𝐠 transforms agriculture into a data-driven system where every decision, from planting and irrigation to pest control and market timing, is informed by real-time intelligence. • Precision irrigation reduces water use by up to 𝟓𝟎% while improving yields. • AI-driven crop diagnostics detect disease before it is visible. • Sensor networks and satellite data turn farms into measurable, optimisable systems. But Smart Farming is not about isolated tools. It requires a connected infrastructure, 𝐚 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐧𝐞𝐫𝐯𝐨𝐮𝐬 𝐬𝐲𝐬𝐭𝐞𝐦 that integrates intelligence, identity, finance, and markets into a unified ecosystem. 𝐂𝐢𝐭𝐢𝐞𝐬𝐚𝐛𝐜 𝐈𝐦𝐩𝐚𝐤𝐭: • Combines AI (AI.DNA), blockchain-based identity (iDNA), IoT sensor networks, satelcitiesabc.com/smart-farming-…financial layers into one interoperable architecture. • 𝐎𝐩𝐞��𝐚𝐭𝐢𝐨��𝐚��𝐢𝐬𝐞𝐬 𝐒��𝐚𝐫𝐭 𝐅𝐚��𝐦𝐢𝐧𝐠 𝐚𝐭 𝐬𝐜𝐚��𝐞, including in low-connectivity environments through offline-first design and 2G-enabled AI. 𝐑𝐞𝐚𝐝 𝐦𝐨𝐫𝐞 𝐨𝐧 𝐂𝐢𝐭𝐢𝐞𝐬𝐚𝐛𝐜: https://t.co/A0hrCWfrvY To partner with us, contact info@citiesabc.com #SmartFarming #AgriTech #AI #FoodSystems #ClimateTech #DigitalTransformation #Citiesabc #Ztudium

The former Google CEO just dropped a terrifying Al timeline.

How artificial intelligence can help achieve a clean energy future #AI #AIio #AIInnovation #ML #DataScience #Futureofwork @HaroldSinnott @fogoros @iainljbrown @NandoDF @katecrawford @drhassanrashidi @YuHelenYu ow.ly/Bub230sTyFC

McKinsey says 15% of work decisions will be made autonomously by AI agents by 2028. That number is 0% today. Think about what that means. Not AI assisting with decisions. AI making them. Autonomously. Within 24 months. Right now, 62% of organizations are experimenting with AI eady scaling them in at least one function. The Agentic AI market hit $10.86 billion in 2026 and is projected to reach $93 billion by 2032. We are transitioning from AI as a tool you use to AI as a system that acts. That is a fundamentally different architecture of work. It changes what human judgment is actually needed for, what oversight looks like, and where accountability sits. The organizations that figure out governance and guardrails for agentic AI now are going to have a massive advantage over the ones that treat it as a 2027 problem. By the time it's obvious, the competitive gap will already be set. I talk about this constantly at executive briefings and keynotes because most leadership teams are still thinking about AI as a productivity tool. That frame is already outdated. The question you need to be asking is: when your AI agents start making decisions, who is accountable for the outcomes?