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GridCast v1.4, our latest forecasting platform for day-ahead prices and fundamentals, is live! It's now been upgraded to better capture the timing of spikes. Read more about it here: https://lnkd.in/emMuS4jj

For decades we have struggled to get a grip on bird collisions offshore. With the trial of the camera and AI based collision monitoring system developed by Wildlife Imaging Systems, the performance evaluated by Wageningen University & Research, we have shown this is now within reach. 👉 Read this article to learn more: https://lnkd.in/e28xJRh5 #Vattenfall #OffshoreWind #Biodiversity #BirdResearch #RenewableEnergy #EnvironmentalResearch

Dit jaar ben ik gestart als Community Manager van de TNO Alumni Community. Samen met een team van collega's bouwen we aan een netwerk voor oud-TNO'ers die nog actief zijn in hun loopbaan. De afgelopen maanden heb ik veel alumni gesproken. Mensen die ik in mijn 25 jaar bij TNO heb leren kennen, maar ook mensen die ik nu pas ontmoet. Wat me daarbij opvalt, is hoeveel TNO voor veel oud-collega's nog steeds betekent. Ik hoor verhalen over innovaties waar mensen trots op zijn, bijzondere samenwerkingen en het fijne contact met collega's. Soms ook een kritische noot, maar altijd met oprechte interesse in wat TNO nu doet en waar het naartoe gaat. Dat is voor mij precies de kracht van een alumni community: ook als mensen al jaren ergens anders werken, blijft er een gedeelde geschiedenis en vaak ook de nieuwsgierigheid naar elkaar. Op 17 november organiseren we het launch event van de TNO Alumni Community. Mooi om te zien dat al zoveel alumni zich hebben aangemeld, ook veel oud-collega's uit Eindhoven. Ben je oud-TNO'er, nog actief in je professionele loopbaan, en lijkt het je leuk om weer eens aan te haken? Dan ben je van harte welkom. Meld je aan via alumni.tno.nl en hopelijk zie ik je op 17 november!

Six months on from the CMA’s decision not to open a DMCC SMS investigation into AWS, our collaborative approach is delivering results for UK customers. AWS’s continued investments in multicloud, AI, and open-standard capabilities have seen the CMA today recognise the concrete steps AWS has taken in 2026 to enhance customer choice and flexibility, enabling UK businesses to thrive. Read more about the impact we have delivered in 2026 for our UK customers: https://lnkd.in/dfPK_pd9

Convite muito especial: o próximo webinar Open Arena será sobre o nosso papel de People como builder de produtos. Recentemente fiz um post homenageando o meu time pelo trabalho dos últimos meses como AI enabler e AI builder. Por um lado, temos diversas iniciativas para facilitar a transformação organizacional da Alice no momento de Refoundation. Por outro lado, estamos exercendo o papel de builder, construindo nossos próprios produtos, como a Tailor e o PitayaCore. Recebi muitas mensagens e pedidos de benchmark, então resolvi convidar a Ana Barão e o Tiago Nunes para contar os bastidores: nossa visão, os problemas que queremos resolver, o impacto esperado, a estrutura e os papéis do time e como, de fato, construímos e mantemos os produtos. Contamos com a sua presença! 📅 04/11 ⏰ 11h às 12h 💻 Online e gratuito Link de inscrição nos comentários 🩷

Understanding bird collision risk at offshore wind farms is within reach I´m excited to share the results of a year-long study at our Hollandse Kust Zuid offshore wind farm, trialing a new technology solution for monitoring collisions offshore. 📹 In this study, sixteen thermal cameras were installed on one turbine, twelve cameras monitoring the airspace below the rotor for falling objects and four cameras monitoring activity in the rotor swept area operating 24 hours a day. 📊 Wildlife Imaging Systems having developed the solution building on previous experience in the US, extracted and categorized tracks from the video images using computer vision and machine learning. Researchers from Wageningen University & Research scrutinised the data and assessed the overall performance of the technology. The results show the technology works very well under offshore conditions and is able to document bird collisions day and night and across a wide set of weather conditions. Why is this important? Every year, millions of passerines cross the North Sea during their spring and autumn migrations leading to concerns about collisions with offshore wind farms. Until now, estimates of offshore bird collisions have by and large been guesswork, and with this study, we are showing a way to move from assumptions to evidence-based insights. The better we understand when and under what circumstances collisions happen, the more realistic assessments we can make for future wind farms and the better mitigation measures we can adopt, securing a nature-inclusive expansion of offshore wind. 🌍 This research is part of Vattenfalls voluntary and long-running environmental R&D programme aiming to improve the evidence base on the impacts of wind farms and how these might be most efficiently mitigated. ▶️ Watch the short video below to learn more about the study and don't hesitate to reach out. Link to report in comments below. #Vattenfall #OffshoreWind #Biodiversity #BirdResearch #RenewableEnergy #EnvironmentalResearch

A sandboxed agent can do excellent work in a box nobody else can talk to. Docker Sandboxes builds the box, and builds it well. Each agent gets its own microVM, with its own kernel, filesystem, Docker daemon, and network. You can hand it your repository without handing it your machine. This week Docker, Inc and Oleg Šelajev published a walkthrough of how that agent gets someone to talk to: the official BAND kit for Docker Sandboxes. The agent opens an outbound connection to BAND and joins a room, where people and other agents can mention it, hand it work, and watch its tool calls as they happen. Nothing reaches into the sandbox. The real API keys stay on the host, and the agent only ever sees placeholders. This means that a hosted planner and a hosted research agent can share a room with the agent fixing tests on your laptop. Only the one that needs the local workspace sits in the sandbox, and the people in the room see all of it. Isolation decides where an agent is allowed to work. Collaboration decides who it works with. Thank you Oleg and the Docker team for the walkthrough: https://lnkd.in/dPundA5C

Det er dyrt at være gratis bank for sine største kunder 🏦 Det oplever de hos AB Electric A/S. Virksomheden skal afregne moms hver måned, mens nogle af de store kunder har lange betalingsfrister - og ikke mindst offentlige kunder. Så opstår den absurde situation, at virksomheden skal betale moms af penge, den endnu ikke har modtaget. Det svarer til, at man skal betale skat, før man har fået sin løn. 🤯 Derfor råber TEKNIQ vagt i gevær i Berlingske i dag - for særligt små og mellemstore virksomheder vil blive ramt. Man kunne selvfølgelig foreslå, at virksomheden bare kræver hurtigere betaling. Det er en glimrende idé, hvis man samtidig er indstillet på at miste opgaven til en konkurrent, der kan vente længere på pengene. Med finanslovsforslaget vil den forkorte betalingsfristerne for moms til 20 dage efter afregningsperiodens udløb. »Harmonisering« og »sanering af erhvervsstøtten« kalder man det. Men som jeg siger i artiklen: »Det er lidt kækt, når regeringen kalder den sanering af erhvervsstøtten. Det er ikke støtte, der bliver givet.« Det er derimod et imponerende pænt ord for at sende flere virksomheder i banken, så staten kan få sine penge hurtigere. 💸 For det her handler ikke om, hvorvidt momsen skal betales. Selvfølgelig skal den det. Det handler om, at 20 dage er for kort tid, når virksomhederne i forvejen venter på betaling fra deres egne kunder. Det er erhvervspolitik med hovedet under armen! Regeringen har sagt, at de vil gøre det lettere at drive virksomhed i Danmark. Men det her bliver cirkuspenge. De ligger bare og flytter ting rundt og lader som om, at det bliver lettere at drive virksomhed. Det gør det ikke. I TEKNIQ vil vi have længere momsfrister. Hæve omsætningsgrænsen for månedsafregning fra 50 til 100 millioner kroner, så flere virksomheder kan afregne kvartalsvis. For det her forslag er — sagt lige ud — helt til hest.

How many customers does your company have? It sounds easy. But ask marketing, sales, finance and operations separately, and you might get very different answers. Each one is defensible, because each department is counting something slightly different. That becomes a big problem when AI enters the picture. People know that a certain CRM field is outdated, that “site” means something different to finance than it does to operations, or that the reliable customer information actually lives somewhere else. AI doesn’t automatically know any of this. It works with the context and data we give it. That was the thread of my talk yesterday at CRM Szaknap in Budapest. While everyone uses AI on their own, it’s single-player mode and private context is enough. Once it becomes an organisational tool, it turns into a board game, and everyone at the table needs the same rules. For customer data, that rulebook is the CRM. Thank you to BusinessEvents for having us again, and to everyone who stayed for the conversations afterwards. If you want to see where your customer data would hold an agent back, our Evaluator will show you: https://lnkd.in/dF6HjzXJ

Driedubbel glas houdt energie binnen, maar blokkeert mobiele signalen. Hoe zorgen we voor betrouwbare indoor connectiviteit? Modern vastgoed staat voor een dubbele uitdaging: het gaat niet alleen meer om isolatie die het bereik vermindert, maar ook om de exponentieel groeiende vraag naar netwerkcapaciteit vanuit de gebruikers. Een sterke netwerkinfrastructuur vormt vandaag de dag de basis voor efficiënte bedrijfsvoering én een uitstekende gebruikerservaring. Van kantoren en ziekenhuizen tot hotels en slimme parkeervoorzieningen, denk aan innovatieve projecten zoals 'Valley' en 'Pulse', of premium hospitalitylocaties zoals 'Innside Amsterdam'. Cellnex Nederland levert op maat gemaakte indoor netwerkoplossingen die zorgen voor naadloze mobiele dekking en de vereiste hoge capaciteit, van penthouse tot parkeergarage. Bij Cellnex Nederland werken we elke dag aan het overbruggen van deze connectiviteitskloof. Want echte digitale vooruitgang begint binnen. Zorg ervoor dat duurzaamheid en connectiviteit hand in hand gaan en bouw samen met ons aan binnenruimtes die klaar zijn voor de verbonden wereld van morgen. Ontdek onze oplossingen en neem contact op met onze experts: https://lnkd.in/eGmchkjK #CommercialRealEstate #InBuildingSolutions #5G #SmartBuildings #ConnectivitySolutions #SmartCities

Want to hear me talk about infrastructure as code and device management? On November 10th I’m joining Fleet Device Management for a panel with some people smarter then me to discuss it in detail. It’s free and virtual. Register here: https://lnkd.in/esP4K4f3

You won't find out from a press release. You'll find out from a quote. Firms that rebuild a process properly don't announce it, so it reaches you second-hand. Their quote turnaround drops from 3 days to the same afternoon. They stop hiring into a function that used to grow with revenue. A customer mentions, in passing, that they got an answer at 9pm on a Sunday. By the time the case study lands, they're 3 or 4 iterations past whatever it describes. That's what makes the Compound Gap hard to react to. It shows up in someone else's response times long before it shows up in your numbers. So here's the cheap version of finding out. Pick the 2 processes where a competitor getting faster would be visible to your own customers, and time yours this week. Not the average, the worst case. That number is your baseline, and without one you can't have a serious conversation about readiness in either direction. Our library maps 10 agents to specific departments and roles inside a Microsoft environment, https://lnkd.in/ecktBPHj

“Ik kan het juiste document niet vinden met Copilot.” Iemand vraagt naar de laatste offerte die naar een klant verstuurd is. Copilot komt alleen met één verouderd document dat toevallig in een afdelingsteam stond. De juiste versie stond in iemands mail en op de netwerkschijf. Copilot is dan niet het probleem. Het werkt met wat het kan vinden. Staat je informatie verspreid over de netwerkschijf, Teams, SharePoint en de mail, dan krijg je onvolledige en soms zelfs onbruikbare antwoorden. Je haalt bij lange na niet alles uit Copilot. De reflex is dan vaak: ICT moet dit oplossen. Misschien gek om te horen van iemand die zelf software en ICT diensten levert, maar daar begint het niet. Het begint bij met elkaar afspreken waar welke informatie staat, en Microsoft 365 daar een centrale rol in geven. Daarna volgt pas het beter inrichten, standaardiseren en structureren van Teams en SharePoint. Op 26 november geef ik nog een keer mijn livesessie van 30 minuten over hoe je Copilot beter laat werken met je eigen informatie. Deelnemers kunnen met mij een gratis intake inplannen. Geen commercieel verhaal, wel praktisch advies.

Two powders, poured the same way. One flows. One doesn’t. What’s the difference? This is one of my favorite demonstrations to share, because it proves that a smooth production run often starts at the formulation stage. The powder on the right uses our Advanced Powder Technology. We combine beadlet and granulation technologies, pre-formulated into the premix, with the right mineral product forms, so it’s easier to handle, dose, and process. The powder on the left shows why that’s important. Low or inconsistent flow can disrupt production and, in severe cases, block equipment completely. In the final product, it can mean lumps and uneven dosages. In my experience, flowability is easy to underestimate until it starts costing time on the line. This is exactly the kind of challenge we will be discussing during our webinar on November 16. We’ll talk through the six technology platforms behind Advanced Powder Technology, share real case studies, and look at what it all means for your business. If you work in formulation or production, I’d highly recommend tuning in: 🎤 Beyond Premix: Unlocking performance with Advanced Powder Technology 📅 November 16 | 16:00 CET 🔗 Register here: https://bit.ly/4zCQG9m #AdvancedPowderTechnology #Formulation #PremixSolutions

Latest Gather Signal episode is now out -- tune in to hear me subscription-shame Christophe Jammet, claim language as the original code, and remind our AI overlords that humans actually like to shop!! https://lnkd.in/e5MJWcPy

Chrysostomides Advocates & Legal Consultants has chosen Legora as its AI partner. One of Cyprus’s leading, Tier 1-ranked law firms, the team advises local and international clients from offices in Nicosia and Limassol. With 45 years of legal practice, the firm continues to evolve alongside the businesses it advises. We are proud to work alongside the team, supporting their use of AI in everyday legal practice. Thank you to everyone at Chrysostomides for your trust!

Forecast accuracy is usually measured with MAE or RMSE. For battery storage, we've found those are the wrong metrics. Our team has been quantifying revenue capture for BESS systems lately, asking whether a more accurate forecast (by standard metrics) actually translates to more revenue for the operator. The answer: nMAE barely correlates with revenue captured. A forecast can look great on paper and still leave value on the table. Spearman correlation works better. It measures whether the forecast gets the order of price points right, which is what tells a battery when to charge and discharge to capture spread. In our modeling, it correlates almost perfectly with revenue capture. The lesson generalizes: the right metric for a forecast depends on the use case. It's the one tied to value created, not the one obvious one. Curious if anyone has seen a similar mismatch in other forecast use cases.

GM laid off 600 IT workers Monday. That same day: 80 open IT positions for AI-native developers, prompt engineers, and agent builders. This is the skills swap. It's happening everywhere. I wrote about what it means, and the uncomfortable truth about what happens to the people who refuse to engage with AI tools. https://lnkd.in/gcZrFiAh

As attention shifts to the midterm elections, its easy to lose sight of whats happening behind the scenes. Federal funding priorities are still taking shape through budget decisions, agency actions, and procurement. Those signals can have long-term implications long before the election headlines fade. The teams that connect those signals early are often better positioned to understand where priorities are headed and where opportunities may emerge. Bloomberg Government helps connect those pieces so you can see the full federal funding picture. See how Bloomberg Government connects policy, funding, spending, and contracting in one platform: https://lnkd.in/ebbQM5fQ

AI is already paying off. What happens next depends on whether companies can govern what they've built. Every year, we survey more than a thousand CxOs and senior leaders to see where AI actually stands. This years Applied AI Index, based on 1,330 responses across 20 sectors, gave me three things worth sitting with: 💵 AI spend has doubled in under a year, up from 1.7% of revenue to 3.3%. And 80% of it now sits outside the traditional enterprise IT budget, showing up in talent, governance, and products instead. 📈 Companies leading on AI, what we call scaling and future-built organizations, generate 3 times as much value from it as companies lagging behind. Narrow that to just the most advanced group, the future-built companies, and the gap widens to 6 times. ⚠️ Only 5% of companies have full agent controls in place enterprise-wide, while 42% expect to hand agents real autonomy by 2030. That last one is the gap I'd point every leadership team toward. Most companies plan to give AI agents real decision-making power well before they've built the oversight to do it safely. This is the moment to decide which side of that gap you want to be on. Read the full Applied AI Index 2026 to learn how to stay ahead: https://lnkd.in/gmbhMEQB

🖥️🖥️ Many companies still treat AI spend as an enterprise IT line item. 🖥️🖥️ Our data suggests thats no longer the full picture. Boston Consulting Group (BCG)'s new Applied AI Index 2026, based on a global survey of 1,330 CxOs and senior leaders, found that AI spending has doubled in less than a year, from 1.7% of revenue to 3.3%. More than 80% of that spend now sits outside the traditional enterprise IT budget, showing up instead in AI talent, governance, and AI embedded directly into products. 👉 That spending pattern tells its own story: AI is still a technology initiative, but its also grown into something bigger, a core business investment. Companies should focus on the right moves across strategic clarity, applied AI, and transformative impact to realize value from their AI investments. Read the full report findings for more 👉👉👉 https://lnkd.in/eXvjWCN7 BCG X Boston Consulting Group (BCG) #AI #innovation #aifirst #appliedAI

We are giving enterprise engineering teams $20,000 in Arena Credits to train and deploy their own model on Arena. Training a model of your own takes compute, time and engineering effort. These credits are there to make the first one easier to start. Why it is worth doing: - Keep control. A model you host runs where your data already lives, and its availability no longer depends on an external provider. - Contain costs. Per-token pricing grows with every request, while self-hosting is paid per hour of compute, and that trade improves the larger your organisation is. - Performance on your tasks. A smaller model trained for one job can outperform a frontier model at that job. A frontier API is a good place to start. When its output reads like a junior hire, rather than an experienced senior, that is usually the point to train a model of your own. You can apply at https://lnkd.in/eqZ3KgFm

When AI budgets get cut, the frontier API bill will be the first to go. Arthur Mensch put the other side of it well: "Don't pace building and owning your own AI models and systems as an enterprise, and there will be no doomsday for you." If the market turns and AI spending falls, finance looks first at the cost that keeps accelerating with usage. That's the frontier. Every extra call costs more, and none of it stays in the business. A model you've trained on your own data works differently. It runs on your infrastructure, it's built for your use case, and it gets better every time you retrain it. That's an asset you own, and it's much harder to cut. So I'd expect a downturn to drive an even larger migration to open source. And if you're already building your own intelligence on open-weight models, brilliant. Keep at it. This is exactly what we help enterprises do at AgileRL.

94% completion. Zero behavior change. That's not a training win. That's a blind spot. A client showed me their L&D dashboard last month. 94% completion rate, 4.6 out of 5 satisfaction. By every metric on that slide, the training had worked. Three months later, the actual behavior on the floor hadn't moved at all. To be honest, this isn't rare, it's the norm. Decades of research keep landing on the same number: only 10-20% of what's taught in formal training actually transfers into on-the-job behavior. Manager-required compliance training routinely hits 90%+ completion and still produces no real change, because completion measures whether someone clicked through a module, not whether they do anything differently under pressure. Leadership knows this, sort of, and still optimizes for the wrong signal. A 2026 Gartner survey of security leaders found 84% of organizations prioritize training completion as their top metric, while only 6% track the thing that actually predicts risk: how often people bypass the training the moment it's inconvenient. We keep grading the easy test and then act surprised when the real-world score doesn't match. The thing is, completion rate was never a business outcome. It's a proxy that's easy to drop into a slide. Behavior change, time-to-competency, fewer repeat errors, fewer workarounds under deadline pressure - that's the real test, and it's harder to measure, so most companies quietly stop looking. If your training dashboard leads with completion, you're not measuring whether the training worked. You're measuring whether the LMS can export a report. What do you think - does your org measure behavior or just attendance? #LearningAndDevelopment #FrontlineWorkforce #TrainingROI