Adrian Vlasiu’s Post

Speed to prototype was never the only bottleneck. Anyone who's run a hackathon knows it. Twenty-four hours to a working demo, and then months to ship — if it shipped at all. The prototype was never the only hard part. Ownership, observability, cost at scale, team capability to maintain what got built — that's where things stalled. AI compresses the prototype phase by orders of magnitude. The rest of the bottlenecks are still there. You just arrive at them faster now, and more often. The partners worth working with are the ones who've solved the hard part, not just the fast part. #GenerativeAI #AgenticAI #AWSPartner #EnterpriseAI #CommerceArchitects

This is a deja vu moment: new tool/process comes along speeding up initial development. Everyone gets excited, demos delight, leadership makes grand plans for a massive roadmap. And then the same bottlenecks show up. AI is a bigger accelerator than the previous leaps, but the same pattern is here. Shipping high-value, scalable solutions to production has been in our DNA from the start. That focus is more critical than ever right now.

The part AI has changed: you can have a working prototype in hours. The part AI hasn't changed: All of the systems have to exist around it. Prompt behavior drifts in production and you have no visibility into why. Latency looks fine in a demo and falls apart under real load. The data pipeline that worked against a clean dataset meets messy reality. Costs scale in ways nobody modeled because nobody had to yet. Fast prototyping is only the first step. How you manage production systems,. up-time, scaling, and resilience still takes experience and expertise.

🚀 Runners-Up at LogAI Hackathon A bit late posting this — but this was worth sharing. Our team OAM Explorers finished as Runner-Up at the LogAI Hackathon, a Nokia-wide hackathon. 🎉 💡 What we worked on We explored how systems can move beyond reactive operations and become more aware, adaptive, and autonomous — detecting issues, understanding them, and closing the loop with minimal human effort. 🤖 What we built An AI-driven approach that pushes toward self-detect → self-diagnose → self-heal systems. Less firefighting, more intelligent systems that can reason and verify outcomes. 🧠 What stood out during the journey - Getting the data right was harder (and more important) than the modeling - Applying AI in deterministic environments forces you to think deeply about validation - Tooling and iteration speed make a big difference when experimenting - Most importantly — picking the right problem matters more than over-engineering the solution 📈 Why this matters It’s a small but meaningful step toward building systems that are not just automated, but intelligent by design. It was a great experience collaborating with Manohar SL and Bhadrinath Eruventee - a team that combined deep expertise with a strong execution mindset. Also thankful for the continued support and encouragement from the Nokia NSP and Innovation board management throughout. Always up for conversations around building practical, high-impact AI systems. #AI #GenAI #Hackathon #Innovation #MLOps

In the realm of "Network Automation", we stand in front of an amazing Golden Window of Opportunity to pivot the domain towards "Autonomous Networks Level-5 (AN-L5)", which indeed, is a perfect inflection point of the Design Principles of this ambitious journey, precisely complemented by the capabilities of Agentic AI. Truly, the domain can mature towards the stability of making the very experience of Network Automation to the natural experience of "Reading Morning NewsPaper", where-in the Network is now running in a fully Autonomous Mode and we only need to go through the summary of the same, on a daily basis, which by itself is a goal setting to the Agentic AI, which needs to be embedded into the very fabric of the "Network Automation + Agentic AI Transformative Architecture", at the scope of each DesignLayer/Module/Dev/Test/Discussion. Also, its important to pass on the Human Knowledge/Wisdom of the Domain, as a feed-back loop, after reading the "Morning NewsPaper", so that, this again, gets embedded into the very Design of the Core Agentic AI based Network Automation Architecture. So, it is so much important to get these discussions into the very culture of the Organizations/Teams/Individuals, and Hackathons prove to be a very important platform to set the Compass exactly in this direction, which enables one step at a time, in the right direction. So, extremely happy to have participated in one such event at Nokia, along with Wonderful Colleagues Bhadrinath Eruventee and Sorabh Ojha 😊 Also, Thanks Sorabh Ojha for posting this, let's take the spirit of Innovation forward and Enjoy the Journey towards AN-L5 👍

The AI Agent Olympics Hackathon from lablab.ai is officially underway at Milan AI Week 🇮🇹 Builders around the world are deploying autonomous AI agents, multi-agent systems, and enterprise AI applications with real-world impact — all powered by Vultr infrastructure. Follow the action: https://lnkd.in/dSWsXJR5

Innovation looks a lot like curiosity, collaboration, and a room full of people eager to build 🚀 Our Tech Hackathon 2026 brought together 60 engineers to tackle real AI challenges, and the results were nothing short of impressive. With AI playing an increasingly important role in the future of mobility, this is just the beginning. Congratulations to our winners, and well done to everyone who participated 👏 #Jeeny #TheBestWayToGo

Talking about AI and seeing it happen in front of you are two different things. At Jeeny, AI is no longer just a conversation, it’s becoming part of how we work, build, and grow. From smarter operations and stronger security to better customer experiences and faster decisions, AI is creating real impact across the business. The real shift is in mindset: moving from “Should we use AI?” to “How fast can we implement it responsibly?” The future isn’t coming, it’s already here. #AI #Jeeny #Innovation #DigitalTransformation #Technology #AIDevops

Zivian held its first AI hackathon last week. We gave our team 4 hours. Cross-functional groups, real problems, and no time to overthink it. The results were very exciting. What happened? ✅ A project already live in production ✅ Tools our sales team is using today ✅ Multiple builds headed to production in the coming weeks Our VP of Engineering, Vanessa DeGennaro, reflects on this energizing team effort in her latest post on the Zivian blog. Read the full article here: https://lnkd.in/gYxt4d2R #ZivianHealth #HealthcareAI #HealthcareCompliance #HealthcareInnovation

At Appspace, we have introduced an AI Assistants framework featuring a specialized chatbot that operates within the Appspace platform. Users can assign it a role, personality, and a set of tools, enabling it to assist employees in completing specific tasks through natural conversation. To foster innovation, Appspace launched an internal AI Assistant Hackathon Challenge, empowering individuals to influence the future of our platform. This initiative has contributed to strengthening our AI-first culture. I am excited to share that my AI Assistant, Cross-Location Concierge, was one of the winners among 18 competitive submissions. I take pride in this achievement and appreciate the recognition I have received. 🤓 I look forward to the future of AI Assistants and the positive impact they will have on our platform.