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

Welcome to a deep dive into the AI-powered future of business and healthcare.In this episode, we explore how Agentic AI, automation, and data intelligence are reshaping how organizations operate, innovate, and scale.Our guest walks us through a real-world journey — from their career beginnings and first tech job to becoming an AI strategist leading transformation in the healthcare and RCM (Revenue Cycle Management) space.💡 What You’ll Learn:• How AI is transforming business operations and decision-making• The evolution from RPA (Robotic Process Automation) to Agentic AI• The growing role of AI in healthcare and revenue management• Key AI tools and platforms that drive 10x efficiency• The importance of human-AI collaboration in the modern workplace• How to build a future-ready AI career and mindsetThis episode is for business leaders, tech professionals, healthcare innovators, and AI enthusiasts eager to understand where automation meets human intelligence.🚀 The future of work is here — faster, smarter, and more connected than ever.Speaker – David Ross, VP and AI Strategist⸻⏱️ Timestamps:00:00 – Introduction02:38 – Career & Education Journey06:30 – Pathway to AI11:41 – AI Revolution in Business15:24 – AI in RCM (Revenue Cycle Management)19:15 – RCM in the Healthcare Ecosystem22:40 – RPA to Agentic AI23:40 – Top Tools & Platforms in AI26:10 – The Agentic AI Journey30:07 – AI Strategist Role Explained34:57 – Humans + AI: Evolving Roles & Skills39:24 – Vision for an AI-Powered Future40:19 – Conclusion & Key Takeaways⸻📩 Contact Us:Want to collaborate, share feedback, or feature on our next episode?👉 Email us at: anilbajpai1987@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 #Healthcare #Business #Automation #Podcast #ArtificialIntelligence #HealthcareInnovation #abtalks

In this episode, we sit down with Ramit Tyagi, a seasoned HR leader and expert in Talent Acquisition, to explore how AI, technology, and strategy are reshaping the future of hiring.From navigating the challenges of startups vs. services, to building effective hiring strategies and coping with layoffs, this episode dives deep into what it truly takes to be in HR today.🎧 Here’s what we discuss:• Journey into Talent Acquisition and challenges of the profession• How AI is transforming recruitment and resume screening• Tools every HR and recruiter should know• The difference between startup and corporate hiring• Resume tips and strategies to stand out• Work-life balance, layoffs, and mental pressure in HR• Career advice for freshers and professionals moving abroadWhether you’re an HR professional, recruiter, founder, or job seeker, this podcast offers practical insights into the evolving hiring landscape.Speaker – Ramit Tyagi, Director - Talent Acquisition⸻⏱️ Timestamps:00:00 – Introduction02:38 – Journey into Talent Acquisition06:51 – Challenges in Talent Acquisition 08:23 – AI in Hiring – How Artificial Intelligence is transforming recruitment12:25 – Resume & Hiring Strategy 17:57 – Top Tools in Hiring21:28 – Different Hiring Approaches 23:11 – Startup Hiring Criteria 26:43 – Best Learning Tools for HR 30:00 – Indian Professionals Moving to the US 31:40 – Tips for Freshers 35:22 – Impact on the TA Industry 36:58 – Pros and Cons of a TA Career38:37 – Mental Pressure During Layoffs 43:59 – Conclusion ⸻📩 Contact Us:Want to collaborate, share feedback, or feature on our next episode?👉 Email us at: anilbajpai1987@gmail.com👉 Connect on LinkedIn: https://www.linkedin.com/in/anil-bajpai⸻#Podcast #abtalks #anilbajpai #ai #aiinrecruitment #hrrecruiter #hr #abtalksonai👍 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

🎙️ In this exclusive episode, shares powerful insights on leadership, technology, and the future of work in the AI era.From mastering ERP implementation and AI-driven business transformation to staying humble, hands-on, and people-first, this episode uncovers the mindset and strategy behind successful leaders.💡 Discover:- Why hands-on experience still matters in leadership- How AI, Copilot & Cursor are reshaping productivity- The secret to hiring the right talent and managing conflicts- Balancing innovation with well-being in a changing digital world🚀 Tune in to explore how leaders can reimagine work, empower teams, and drive transformation through AI, data, and human-centered leadership.Speaker - Angshuman Kanjilal, Global Technology and Transformation Leader⸻⏱️ Chapters:00:00 – Introduction02:04 – Why Hands-On Experience Still Matters in Leadership03:56 – Top Tools, Technologies & Platforms Every Leader Should Know06:12 – Staying Humble & Grounded as a Modern Leader12:08 – Beyond Tech: Hobbies and Personal Interests21:10 – ERP Implementation & Driving Organizational Change27:33 – How to Manage Team Conflicts Effectively33.56 – Identifying Individuals Who Align with Your Vision35:08 – Hiring the Right Person for the Right Role37:00 – Onshore vs Offshore Work: Cultural & Operational Insights41:02 – AI, Data & Technology – Reimagining Business Processes44:13 – AI Developer Tools: Copilot, Cursor & Productivity Boosters47:30 – Is Hiring Now Focused on AI or Traditional Skills?53:33 – Talent, Skills & The Future of Work59:31 – Managing Work–Life Balance as a Leader1:03:04 – Closing Thoughts & Key Takeaways⸻📩 Contact Us:Want to collaborate, share feedback, or feature on our next episode?👉 Email us at: anilbajpai1987@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

🚀 Welcome to today’s podcast, where we explore the dynamic intersections of technology, culture, and the future of AI!

In this episode, we unpack everything from how to break into the tech industry, the enduring relevance of mainframes, and top tools for migration — to a behind-the-scenes look at Infosys's early days and key cultural contrasts between India and the USA.

We also dive into the vital roles of enterprise and solution architects — what they do, how to become one, and why they’re essential for scaling enterprise systems. Plus, we explore some of the toughest roles in tech, predictions for AI by 2030, and real-world applications of Generative AI and Agentic AI.

👉 Whether you're a student, developer, architect, or a tech enthusiast, this episode offers practical career advice, global cultural insights, and future-focused tech trends to help guide your journey.

🎙️ Guest Speaker: Balaji Raghunanthan, Data & AI Engineering Business Unit Leader

⏱️ Chapters:

• 00:00 – Introduction

• 01:38 – Getting Started in Tech: Career Tips & First Steps

• 07:57 – The Resilience & Relevance of Mainframes

• 10:30 – Top Tools for Mainframe Modernization

• 13:40 – The Early Days of Infosys: Lessons & Growth

• 22:39 – Cultural Contrasts: India vs USA in Tech

• 27:48 – Understanding India’s Workplace Hierarchy

• 29:39 – Why Architects Matter in Every Tech Company

• 32:00 – Becoming an Enterprise or Solution Architect

• 38:47 – The Most Challenging Roles in Tech

• 42:56 – AI in 2030: What the Future Holds

• 48:33 – GenAI & Agentic AI in the Real World

• 54:52 – Closing Thoughts & Takeaways

📩 Let’s Connect!
Interested in collaborating, sharing feedback, or being a guest on the podcast?
👉 Email: abtalks.podcast@gmail.com
👉 LinkedIn: Anil Bajpai

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In this podcast, we explore the journey from Google to Microsoft, uncovering career strategies, AI innovations, and leadership lessons. Gain valuable insights into:• How to build a successful career in Big Tech (Google & Microsoft)• Challenges faced by women leaders in corporate• The rise of AI, Copilot, and Copilot Studio• RAG pipelines vs Copilot explained• Why GPU-based licensing & token costs matter in AI• India vs Singapore work culture & Microsoft market insights• The future of Agentic AI vs GenAI in enterprise• Key lessons on work ethics, leadership, and AI strategyWhether you’re a student, professional, or AI enthusiast, this episode is packed with actionable tips, real experiences, and industry insights from the world of Google, Microsoft, and the evolving AI ecosystem.Speaker – Navisha Prabhakar, SMB Azure Lead at Microsoft | Gold Club Award Winner⸻⏱️ Timestamps:00:00 – Introduction01:33 – Journey to Google: Breaking into Big Tech14:57 – Career Guidance for Students: Building a Strong Future19:08 – Challenges as a Woman in Corporate Leadership24:34 – Inside Google: Growth & Career Milestones34:52 – Google & AI: Early Struggles and Innovations37:00 – Shifting from Google to Microsoft: A Career Pivot38:47 – Microsoft & Customer Retention Strategies41:54 – Microsoft Copilot: Redefining Productivity with AI43:25 – Copilot vs Copilot Studio: Key Differences Explained45:43 – RAG Pipelines vs Copilot: Which One Wins?49:28 – AI Costs: High Token Usage & GPU-Based Licensing53:12 – India vs Singapore: Microsoft Market Insights57:28 – Agentic AI vs GenAI: What’s the Future?1:02:30 – Work Ethics in Singapore: Lessons for Professionals1:12:22 – Conclusion & Final Thoughts⸻📩 Contact Us:Want to collaborate, share feedback, or feature on our next episode?👉 Email us at: anilbajpai1987@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