MSD Czech Republic

48 hours, 15 teams, and a 97% accuracy rate.🏆 I recently attended the Europe Tech Hackathon 2026 in Vienna by ViennaUP, and it was the perfect reminder of what happens when you combine the right tech with the right people. 🇦🇹✨ Our challenge was building an AI application for Trench Analysis. Because 48 hours demands speed, we focused on a fast prototype—building a fully dockerized web application powered by Google's Gemini LLM. The result? We managed to tackle the problem with a 97% accuracy rate. 🧠💻 But the tech only worked because of the team dynamic. We brought together entirely different technical backgrounds, pairing deeply experienced, hardworking engineers with an absolute powerhouse of a presenter who nailed the final pitch. While we didn’t take 1st place out of the 15 competing teams, winning the Best Team Spirit Award felt incredibly fitting. 🏆❤️ Huge credit to the crew who made this sprint successful: • 🛠️ Sara Tesas • 🛠️ Vassil Bakalov • 🛠️ Abigail Llanque Romero • 🛠️ Lene König • 🛠️ Federico Ercole Thanks to Sustainista team and ViennaUP for a fantastic event! #EuropeTechHackathon #ViennaUP #ArtificialIntelligence #GeminiLLM #Docker #DataScience #Hackathon #Innovation #Google #AI

I had a blast opening the Data in Context Meet Up with a short hook: “Your AI model is only as good as the decision it was never designed to make”. In Biopharma, model accuracy isn't the bottleneck—it’s the gap between an AI output and a human decision. We discussed why "Context is King": A huge thanks to the organizers for the invite and to my fellow panelists Adéla Ráčková Jiří Kacerovský Martin Matějka and panel moderator Ota Novotny for the sharp cross-sector insights. It’s clear that whether you're in Telco, Banking, Fintech or Pharma, the "last mile" from data to action remains our biggest challenge. How do you bridge the gap between data and decisions in your world?

Job Alert! 🚨 Workspace and Facilities at MSD are starting a brand new data science team and hiring an Associate Director to lead the effort. This is a team that will work in close collaboration with stakeholders around the world and my Procurement Data Science team. Located in NJ, PA, Prague or Hyderabad. https://lnkd.in/dZ94weXF

Private AI Is the New Competitive Advantage Companies are realizing a critical risk: Using public AI with sensitive data = loss of control This is driving a major shift toward: → private AI models → secure data environments → controlled access layers Organizations want: → full visibility into how data is used → control over model behavior → compliance with regulations Private AI is no longer just about security. It’s about competitive advantage and trust. Because the companies that control their data… will control their AI outcomes. #DataGovernance #Data #AI #DataStrategy #DigitalTransformation

The Biggest Risk: You Can’t Govern What You Can’t See AI adoption is accelerating faster than governance can keep up. This creates a new challenge: → shadow AI tools → untracked models → hidden data pipelines The result? A growing gap between: what organizations think they control… and what’s actually happening. This is why AI observability is emerging as a key capability: → tracking model behavior → monitoring decisions → ensuring compliance in real time Governance is evolving from documentation… to continuous visibility and evidence. #DataGovernance #Data #AI #DataStrategy #DigitalTransformation

Why Data Models Fail Before They Even Start Most data models don’t fail because of technology. They fail because of misunderstanding. We often jump straight into physical design: tables, columns, storage, performance… But skip the layers that actually give data meaning. A strong data model evolves through 3 levels: → Conceptual — what the business talks about → Logical — how concepts are structured → Physical — how systems implement it The problem? Teams rush to the physical layer without aligning on the conceptual one. That’s how you get: • mismatched definitions • inconsistent KPIs • endless “what does this mean?” debates Good modeling isn’t just structure. It’s shared understanding translated into systems. If your dashboards are constantly questioned… go back one step. Or two. #DataGovernance #Data #AI #DataStrategy #DigitalTransformation

Yesterday I attended the Engineering Leaders Community conference, and honestly, it delivered 👏 I already expected the networking to be top-notch, but it still exceeded expectations. Met a lot of inspiring leaders and had some genuinely great conversations 🤝 A few ideas I’m taking with me: 🌍 Community will outperform anything you try to build alone. 🦸♂️ 6 competencies of the 2026 leader: (Trajectory 🚀, Ownership 💡, Collaboration 🤝, AI mastery 🤖, Culture Add 🌱, Mindset 🧠). 📈 Build a network of sponsors - leaders who actively support you with opportunities, influence, and resources. —— Also… the food? Amazing. Ended the day with a pub quiz that was way more fun (and competitive) than expected 😁 Overall, great vibes, great people, and definitely worth it. Looking forward to the next one! #ELC26

Among the endless LinkedIn posts, I just want to express my gratitude for yesterday’s event organized by SentinelOne and W.tech . I had a wonderful time listening to inspiring speakers. It was great to meet ambitious and successful women in the industry! I especially enjoyed Tania Khriapina ‘s talk on Situational Leadership. Big thanks to the organizers, 🇺🇦Anna Kurylo , Svitlana Slabitska and kudos to the W.tech community!

MDM Is No Longer About “Single Source of Truth” For years, MDM focused on one goal: 👉 a single source of truth But that model is starting to break. Why? Because in modern organizations: → data is used in different contexts → definitions evolve → business needs change rapidly The same “customer” record might need to look different for: → marketing → risk → finance MDM is evolving into: ✅ context-aware data ✅ domain-driven ownership ✅ trust at the use-case level Instead of forcing one version of truth, leading organizations are enabling multiple trusted views. The future isn’t rigid consistency. It’s controlled flexibility with trust. #DataGovernance #Data #AI #DataStrategy #DigitalTransformation