Agilytic

What’s Next for AI in Healthcare? Here’s What I Learned from Clinicians. As someone who’s been deep in the world of data and AI for years, I’ve seen technology transform industries. But healthcare? That’s a different story, at least to me. Recently, I attended an event from WeLink.Care on the theme “L’IA en santé au-delà du mythe”, and it was one of the most inspiring—and eye-opening—experiences I’ve had in a while. The conversation went beyond tech, diving into what really matters for AI to make a meaningful impact on patient care. In the article below I share the key insights that stuck with me, that came directly from a panel session with clinicians. Thank you Emilie Fockedey and Digital Wallonia for the invitation. Enjoy the reading. #AIinHealthcare #HealthTech #DataDrivenHealth #DigitalTransformation #FutureOfHealthcare

💡 “We need AI because... well, everyone’s doing it!” - Ever heard that phrase ? Yep, that’s exactly what a client’s ExCo said to me the other day. And they are not the only ones, I met a few of them in the last months. I get it—AI is all the rage. But here’s the thing: AI isn’t a magic wand you wave around just because it’s trending. As a consultant in Data & Analytics, my response is essentially something like, “Cool, but what’s the problem we’re actually trying to solve?” Sure, LLMs applied for Intelligent Document Processing or Knowledge Base Search can be game-changers for the right use case. But for most companies, a solid report based on good qualitative data or a tried-and-true classification algorithm works wonders. Sometimes, the simple solution is the best one. The point is: don’t jump on the AI bandwagon just because everyone else is. Focus on solving the real problems. AI should be a means to an end, not the end itself. #AI #AnalyticsConsulting #GenAI #BusinessStrategy #ProblemSolving #KeepItSimple

🥳 We have a new colleague! 🏁 Wishing Loïc Meunier a warm welcome to Agilytic! 🎓 Armed with an MSc in Computer Science with a major in Computer Systems Security, Loïc's journey began with an internship at Deloitte in their SAP Data & Analytics team. There, he developed an internal screening tool using LLMs. ⛹️♂️ Standing at an impressive 2.10 meters, Loïc is literally impossible to miss. When he is not towering over the office, you are likely to find him on a basketball or padel court. 👨🏫 He is also known for diving deep into fascinating (read: obscure) subjects.

🚀✨ When the brilliant Stephen Wolfram publishes a didactic, illustrated essay on machine learning and neural networks, you know it’s time to dive deep! 📚🤖

🎓 Are you freshly graduated, and aspiring Data Engineer or Data Scientist? 🚀 Eager to keep learning, while working on challenging, impactful projects? ✨ Don't miss our onboarding month this October! #werehiring #dataengineering #datascience

🔢 Nettoyer les données, les analyser, extraire l’information et la communiquer: voilà des compétences indispensables, et donc très recherchées dans le monde du travail. 🎓 C'est là précisément ce que le SMCS (Statistical Methodology and Computing Service) - UCLouvain vous propose d’apprendre dans le cadre de la formation en "Junior #Data Analyst" ! 💪 Une formation qui peut compter sur le soutien d'Agilytic

💡 Looking forward to sharing takeaways from our experience in real estate. 🙏 Thank you Idriss Goossens and the PropTech Lab (Belgium) team for the invitation. 🔗 Register here: https://lnkd.in/egwTetxZ 🗓️ See you there!

📺 Don't miss out. Join dozens of fellow professionals on May 29th 🤖 Get a pragmatic perspective about LLMs and chatbots 🗓️ See you there 👇 🔗 https://lnkd.in/gwGEkeE6

🗓️ Join us on May 29! 🔗 Register here: https://lnkd.in/g8DbWnRP

🤗 Join us on May 29th to learn more about LLMs and chatbots 💡 It will be informative and fun (we hope!)