Rewire

AI can lift the performance of field operations and make every field engineer as good as your best one. With results within ten weeks if you go about it the right way. On 16 October we'll share: * How to build a system that walks a technician through diagnosis and repair. * What decides whether a system gets past the pilot. * How it scales, from one use case to end-to-end support across operations, supply chain and customer services. For anyone running field operations, service delivery or customer operations in utilities, telecoms, infrastructure, building technology or industrial equipment.

Met AI kan elke monteur in field operations je beste monteur worden! Binnen tien weken kan je resultaten halen, als je het goed aanpakt. Op 16 oktober laten wij zien: * Hoe je een systeem bouwt dat een monteur stap voor stap door diagnose en reparatie leidt. * Wat bepaalt of een systeem verder komt dan een pilot. * Hoe een systeem opschaalt van één use case naar end-to-end ondersteuning van operations, supply chain en klantenservice. Deze webinar is voor iedereen die verantwoordelijk is voor field operations, service delivery of customer operations in de nutssector, telecom, infrastructuur, gebouwtechniek of industriële apparatuur.

AI agents excel at short tasks but struggle badly on long ones. Loading a single generalist agent with regulatory, scientific, and clinical context won't fix that. Owing to regulation and strict compliance rules, biopharma already has the answer built in: specialised functions, defined review cycles, clear sign-off. Dr. Philipp M. Diesinger argues this maps directly onto a multi-agent architecture, small agents each validated for one task, with humans at the decision gates that matter. Medical content review, currently six to eight weeks across seven cycles, could collapse to days without losing quality control. Biopharma organisations that get this orchestration right are set to build a pipeline advantage measured years. Read the full piece: https://lnkd.in/edkGuBzc #AgenticAI #Biopharma #AI #LifeSciences #Rewire

This is for executives in a hurry who want to accelerate innovation. On 25 August, we're running a hands-on workshop in Amsterdam to help them do exactly that. In two hours, senior business leaders with no technical background will turn an idea into a working prototype, using AI tools rather than code. You'll leave with a working prototype of your own, a sharper sense of where AI tools help and where they don't, and a better vocabulary for briefing your technical teams. Small group, in person, at our Amsterdam office. Details and registration: https://lnkd.in/e6Z2qsPX

𝗧𝗵𝗲 𝗳𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗼𝗳𝘁𝗲𝗻 𝗿𝗲𝗴𝗮𝗿𝗱𝘀 𝗿𝗲𝗴𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗮𝘀 𝗮 𝗰𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝘁. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗶𝘀 𝘁𝘂𝗿𝗻𝗶𝗻𝗴 𝗶𝘁 𝗶𝗻𝘁𝗼 𝗮𝗻 𝗮𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲. Take asset servicing, for example: fund administration and transfer agency already run as chains of controlled steps, each with a defined owner and a check at the gate. This is precisely the sort of architecture that agentic AI requires. Four-eyes review, DORA's mapped dependencies, the AI Act's demand for documented oversight: the agentic AI scaffolding is already in place. By Dr. Philipp M. Diesinger and Dorthe van Waarden. 👉 Read how agentic AI fits the financial industry, gate by gate: https://lnkd.in/eFG9y-vU #AgenticAI #FinancialServices #AssetManagement

𝐇𝐨𝐰 𝐌𝐚𝐢𝐧𝐬𝐭𝐫𝐞𝐚𝐦 𝐀𝐈 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲 𝐅𝐚𝐢𝐥𝐬 — 𝐓𝐡𝐞 𝐔𝐬𝐞 𝐂𝐚𝐬𝐞 𝐏𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨 𝐅𝐚𝐥𝐥𝐚𝐜𝐲 The contours of the AI-native organization are slowly emerging. Every incumbent is trying to figure out what it looks like, and there is no shortage of advice—from consultants, technology vendors, AI experts and self-proclaimed gurus. Yet much of that advice starts from assumptions that belong to a past era. New technology is often framed through old management paradigms. I've started this newsletter to challenge those assumptions. Every edition explores one widely accepted belief about AI transformation and gives a contrarian perspective based on real world experience. I believe becoming AI-native requires fundamentally different mental models. The first essay argues that the dominant strategy of building a portfolio of AI use cases has structural failure modes that can prevent organizations from realizing AI's full potential. Curious to hear where others agree—or disagree. Rewire