Here’s the reality of GenAI adoption: only 27% of enterprises are in the implementation phase, while 41% remain stuck in the pilot phase. The AI evolution stops for no one, and the gap between leaders and laggards is only getting wider. Our latest blog explores what it really takes to move beyond experimentation and build the future of the intelligent enterprise. From data readiness to AI fluency, discover how to move past pilots and transform with speed and purpose. 👉 Read here: https://ow.ly/nkVI30sQkJ0

How AI-ready is your board? AI transformation starts at the top, but too few boards feel prepared for what is coming. To help solve this, we have teamed up with Board Intelligence, who have decades of experience helping the UK's biggest boards face up to new challenges. Today we are launching a new, free tool to help companies assess how AI-ready their board is, and identify actionable steps to improve oversight and resilience in an AI-powered world. In just a few minutes, you’ll get a clearer view of where your board stands today as well and what to focus on next. See how ready your board is here: https://lnkd.in/eq5r8Ws8

Session highlight - How AI simplifies the invisible work Behind every new product launch lies hours of unseen manual effort, collecting, checking, and structuring data. At Rowenta, Claire Gyselinck decided to change that. She built SpecExtract, an in-house AI assistant that automatically pulls technical specs from PDFs. The result? Weeks of repetitive work turned into just a few clicks, freeing teams to focus on creativity and innovation instead. 💡 At the Data & Innovation Summit, Claire will share how this simple idea became a real productivity revolution, and what you can learn from it. Want to learn how AI can simplify your everyday work? 👉 Secure your tickets in the comments!

I'm excited to be speaking at the upcoming TechNet Trans-Atlantic Conference in Frankfurt, Germany. The subject? Utilizing AI in the advanced decision-making space. Speed and Quality of decision-making are must-haves and non-negotiable when it comes to advancement of organizational critical business processes. There's so much to unpack from those two simple words on how Data, AI, and Automation make it possible, starting with critical process re-engineering and vision/goal assessment enabled by technology. You don't buy 10lbs of AI... You assess for the best value propositions that are unique to each organization and prioritize. This is going to be fun... https://lnkd.in/dAi4Re7k

Last week, we brought leaders together to talk about what really makes AI projects succeed and why so many get stuck at the pilot stage. 💡 The discussion was packed with insights on data readiness, governance, and the importance of aligning AI initiatives with business strategy. We’ve turned those key takeaways into a white paper that goes even deeper breaking down why AI projects fail, the three pillars of success, and how to scale responsibly toward real ROI. 🚀 If AI is part of your 2026 roadmap, this is the guide to start with. 👉 Download it here: https://hubs.ly/Q03SNsN20

This week's AI Upskillerator was a masterclass in strategic focus vs. shiny object syndrome. We pivoted from our planned NotebookLM session to explore Claude's brand-new "Skills" feature (released just days before). 67 minutes later, we'd live-demoed everything from custom blog post generators to workflow automation tools. But the real value wasn't in the new features. It was in the honest conversation about AI fatigue. One participant's commitment to focus on just ONE tool for Q4 instead of chasing every new release? That resonated with everyone in the room. Sometimes the best AI strategy is subtraction, not addition. The technology moves fast. Your implementation strategy should move thoughtfully.

We’re excited to share that Raylu is leveraging Temporal Technologies to power our agentic AI platform for private-markets research. This collaboration pairs Temporal’s durable workflow engine with Raylu’s finance-trained AI, giving investors faster, more reliable market mapping and company research at scale. With Temporal orchestrating our agents, Raylu can parallelize deep research across thousands of companies, recover seamlessly from failures, and deliver sub-second, source-grounded answers—all with clear traceability for compliance. Read more below.

Thrilled to share that Raylu is leveraging Temporal Technologies, the industry-leading workflow orchestration platform, to power our agentic AI for private-markets research. This is more than an integration. By running Raylu’s AI agents on Temporal’s durable, resilient workflows, we’re moving toward a future where the heavy lifting in sourcing and diligence happens instantly - so investors can focus on judgment, creativity, and the decisions that really matter. It’s a step toward the kind of private-markets investing we believe in: faster, smarter, and more human. Excited for what’s ahead. Samar Abbas Clair B. Allanah H.

🎙️ New episode of Data Topics coming soon! Ben sits down with Kim Smets, 𝘝𝘪𝘤𝘦 𝘗𝘳𝘦𝘴𝘪𝘥𝘦𝘯𝘵 𝘋𝘢𝘵𝘢 & 𝘈𝘐 at 𝗧𝗲𝗹𝗲𝗻𝗲𝘁, to talk about what it really takes to scale AI inside a large organization. They explore how Kim transitioned from early machine learning work to leading a central Data & AI team, why simplicity drives adoption, and how Telenet is balancing GenAI exploration with enterprise-grade AI delivery. 📣 Follow Data Topics to catch the episode when it drops, and hear from more AI leaders in the series. 

We've got a new playbook for you ⚡️ After running AI transformation programs day in and day out, we’ve distilled everything we’ve learned into a practical guide on becoming AI-first. You don’t need headcount or massive capital to scale. You need AI at the core. Inside the playbook: 👉 Your 90-day AI-first transformation roadmap 👉 Why the traditional AI playbook is a trap, and what to do differently 👉 Practical accelerators: tools and frameworks to move from idea to execution 👉 Core design shifts in operating models 👉 Real-world case studies Download the playbook here 👉 https://lnkd.in/eEZRhbZn