This episode breaks down the REAL journey of building an AI startup in the life sciences space.Explore the entire AI lifecycle in life sciences—from data readiness and scientific validation to building scalable AI models for drug discovery and diagnostics. Data challenges, model training, hiring, and the global differences between building in the US vs India.We break down technical decision-making, team-building, customer targeting, and how to translate deep scientific work into business value.If you're building in AI, biotech, or healthcare—this conversation is packed with real insights you won’t find anywhere else.⸻⏱️ Timestamps:00:00 – Intro03:44 – Market research for AI startups05:06 – Challenges of building a tech startup07:02 – Doing a startup in the US vs India08:33 – The vision behind the venture11:22 – Understanding competitors11:49 – How AI solves real problems in life sciences15:17 – Target customers in pharma, biotech & healthcare17:51 – Measuring product effectiveness19:29 – Data readiness & integration for AI models21:42 – Translating complex AI & scientific concepts24:51 – How to build the right AI + science team27:09 – What freshers should learn today28:28 – Biggest AI opportunities in life sciences32:12 – Training AI models for life sciences34:54 – Final insights & conclusionSpeaker - Bhabesh Panigrahi, Life Sciences Strategy & Commercial Leader📌 Keywords:AI in life sciences, biotech AI, drug discovery AI, startup strategy, data integration, AI model training, healthcare innovation, personalized medicine, biotech founders, scientific computing, diagnostics, AI product development⸻📩 Contact Us:Want to collaborate, share feedback, or feature on our next episode?👉 Email us at: abtalks.podcast@gmail.com👉 Connect on LinkedIn: https://www.linkedin.com/in/anil-bajpai⸻👍 If you enjoyed this video:✅ Like✅ Comment your thoughts/questions✅ Subscribe for more insights on AI, leadership, and innovation🔔 Turn on notifications so you don’t miss future uploads#AI #LifeSciences #DrugDiscovery #TechPodcast #BiotechInnovation #StartupLife #HealthcareAI #KnowledgeSharing #Technology #Development #Learning

We dive deep into the REAL journey of building a startup in the age of GenAI, navigating the toughest challenges, taking bold decisions, and shaping the future of business operations.This episode is packed with real founder stories, actionable startup advice, AI insights, and strategic clarity you can use whether you're building your first product or scaling a team.We decode the intersection of startups, enterprise tech, GenAI, and modern leadership with practical examples and grounded experience.f you're a founder, aspiring entrepreneur, product leader, finance professional, or AI enthusiast, this episode delivers insights you won’t hear anywhere else.Speaker - Nagendra Singh, Founder - Zenalyst⸻⏱️ Timestamps:00:00 – Intro01:30 – Journey & Startup Hurdles04:04 – Challenges in a Startup07:26 – Planning & Bold Startup Moves12:40 – Build vs Buy14:42 – About the Product: Zenalyst17:14 – Where the Product Makes Impact20:39 – Implementation & Models27:38 – Bootstrapped vs Funded29:17 – How Hard Is Getting Funding?32:30 – Biggest Shift in Finance Leadership34:28 – GenAI Reshaping Operations35:38 – Hiring the First Team Member36:52 – Domains Disrupted by AI38:28 – Best Way to Approach SAP Training38:56 – Rapid-Fire Round41:16 – Managing Stress as a Founder43:27 – Conclusion⸻📩 Contact Us:Want to collaborate, share feedback, or feature on our next episode?👉 Email us at: abtalks.podcast@gmail.com👉 Connect on LinkedIn: https://www.linkedin.com/in/anil-bajpai⸻👍 If you enjoyed this video:✅ Like✅ Comment your thoughts/questions✅ Subscribe for more insights on AI, leadership, and innovation🔔 Turn on notifications so you don’t miss future uploads#GenAI #AIStartups #StartupJourney #FounderLife #Entrepreneurship#StartupFunding #BuildVsBuy #ProductStrategy #BusinessLeadership#FutureOfWork #TechInnovation #ArtificialIntelligence #AgenticAI#DigitalTransformation #AIPodcast

🤖 Agentic AI is redefining how we build, deploy, and interact with intelligent systems.In this video, we break down what Agentic AI really means, how it connects with AI agents, n8n automation, GenAI tools, and what it means for your career in AI.Whether you’re a Python developer, data engineer, or fresher dreaming of joining the AI revolution — this episode will give you the roadmap to start, grow, and lead in the agentic era of AI.Speaker - Manish Kumar, Global Head (Data & Analytics)⸻⏱️ Timestamps:00:00 — Introduction01:35 — Journey & Career Plan09:25 — From Bihar to Corporate Life12:04 — Challenges Faced & Lessons Learned17:43 — What the AI Service Ecosystem Really Means22:46 — Must-Know Skills for Freshers in 202527:08 — How AI Is Transforming Traditional Domains30:04 — Tools for Building AI Agents (LangFlow, AutoGen & more)33:00 — Mistakes Companies Make in AI Projects39:17 — Why the Future Belongs to Prompt Engineers41:59 — Rapid Fire Questions43:28 — Key Takeaways⸻💡 What You’ll Learn:• The real meaning of Agentic AI and how it works• How n8n and LangFlow help create AI agent workflows• Why Prompt Engineering is the new-age skill in AI development• Step-by-step guide on how to make your first AI project• Career roadmap for AI Engineers, Python Developers & Data Engineers📈 Who Should Watch:👉 Freshers exploring a career in AI👉 Developers learning GenAI & automation tools👉 Data engineers & Python coders upgrading to agentic systems👉 Anyone curious about the future of AI agentsAgentic AI • Prompt Engineering • AI Career Tips • GenAI Tools • Automation Workflows⸻📩 Contact Us:Want to collaborate, share feedback, or feature on our next episode?👉 Email us at: abtalks.podcast@gmail.com👉 Connect on LinkedIn: https://www.linkedin.com/in/anil-bajpai⸻👍 If you enjoyed this video:✅ Like✅ Comment your thoughts/questions✅ Subscribe for more insights on AI, leadership, and innovation🔔 Turn on notifications so you don’t miss future uploads#AgenticAI #AIAgents #PromptEngineering #GenAI #AICareers #PythonDeveloper #DataEngineer #AIEngineer #n8n #LangFlow #AIProjects #FutureOfWork #AIAutomation #AIin2025 #AIJobs #TechPodcast #ArtificialIntelligence #MachineLearning #AIRevolution #AIWorkflow #Podcast