#117 - Navigating AI Trends with Dat Tran // Partner & CTO @ DATANOMIQ, VP AI/ML @ Beams Safety AI

AI is moving faster than ever, and staying ahead of the curve is a challenge for every tech leader. In this episode, Dat Tran joins Tobi to break down what’s happening in the AI space, from cutting-edge model releases to AI-powered productivity tools and the global race for AI dominance. Dat has spent years leading AI teams at Idealo and Axel Springer, co-founding AI-driven startups, and now helps companies make sense of AI without the fluff.

Together, they explore the latest AI trends, the reality behind AI agents, and how engineering teams can actually get more done with AI today.

🚀 Dat’s journey in AI and tech leadership – From hacking on machine learning before it was cool to leading AI at Axel Springer and co-founding AI startups
🤖 DeepSeek R1’s impact – Why this new Chinese AI model is shaking up the industry and what makes it different from OpenAI’s GPT and Meta’s Llama
🛠️ AI agents & automation – What’s real and what’s just hype? Where do AI agents actually work in business today?
💻 The evolution of coding assistants – How AI tools like Cursor and GitHub Copilot are redefining what it means to be a full-stack engineer
🌍 The global AI race – Is Europe really falling behind? A look at China’s AI boom, US dominance, and what European AI companies need to do to compete
📈 CTO strategies for AI adoption – How to separate hype from real opportunities and where AI can have the biggest impact in engineering teams today

If you’re a CTO, AI enthusiast, or just trying to keep up with the latest AI breakthroughs, this episode is packed with insights you won’t want to miss.

00:00 Introduction to Alphalist Podcast
01:02 Meet Datran: From Berlin to AI Consulting
02:01 Datran's Journey in Tech and AI
03:42 The Evolution of AI and Machine Learning
04:25 Challenges and Successes in AI Startups
06:35 The Role of Open Source in AI Development
08:12 Building a Personal Brand in Tech
11:20 Recent Developments in AI
17:33 The Future of AI and Its Impact on Jobs
37:13 Long-Term Code Management Challenges
38:07 The Evolution of Programming Languages
39:34 Boosting Engineer Productivity with LLMs
43:42 The Rise of AI Agents
46:21 Evaluating AI Agents in Business
56:24 Global Perspectives on AI Development
01:01:33 Personal Reflections and Future Outlook
01:07:48 Outro and Final Thoughts