Data Career School: Grow Your Career in Data Analytics & AI

AI is becoming more autonomous than most people realize and governments are struggling to keep up. 🎙️AI agents are no longer just answering questions. They’re starting to browse the internet, make decisions, take actions autonomously, and influence industries faster than governments can regulate them. In this episode, I sit down with Sakshi Naik, an AI governance expert who has advised US government officials on AI policy, Responsible AI, and the future risks of autonomous AI systems.What you'll learn:What Agentic AI actually meansHow autonomous AI agents differ from traditional AIThe risks of AI systems acting without human oversightWhy regulating AI is becoming increasingly difficultThe influence of Big Tech on AI policy and regulationResponsible AI vs performative AI ethicsOpen source vs closed AI debatesHow AI could reshape jobs and the future workforceThe biggest misconceptions people have about AISakshi also shares her journey from India to advising policymakers in the US and gives an inside look into into how governments, researchers, and companies are navigating the future of AI governance.Whether you're into AI, tech, policy, or just trying to understand where the future is heading, this episode breaks down one of the most important conversations happening right now.🎙️ Hosted by Amlan Mohanty — industry expert decoding AI, tech power shifts, and the future of work before they hit the mainstream.Follow me:📺 ⁠⁠YouTube ⁠⁠🔗 ⁠⁠LinkedIn⁠⁠📸 ⁠⁠InstagramConnect with Sakshi Naik:🔗 LinkedIn📸Instagram 📺Youtube 🎧 Listen now to understand the power, risks, and future of Agentic AI.Chapters00:00 Introduction01:45 Sakshi’s Journey into AI Policy04:16 Understanding Agentic AI06:31 Traditional AI vs Agentic AI07:30 The AI Regulation Dilemma08:48 Risks of Autonomous AI16:48 AI Bias in Action 21:11 Do Lawmakers Understand AI24:23 Power Dynamics in AI Policy30:10 Responsible AI Frameworks33:47 Open Source vs Closed AI36:40 AI’s Impact on Jobs39:27 Biggest Misconceptions About AI41:30 Final Thoughts

AI and data analytics are transforming business, and your data career can’t afford to be left behind. 🎙️ In this episode of Data Career School, I sit down with Ketan Mudda, Director of Data Science & AI Solutions at Walmart, to explore how AI is reshaping retail, analytics, and decision-making—and what it means for students, job seekers, and early-career professionals in 2026.We dive into:How AI is driving innovation and smarter decisions in retail and businessEssential skills data professionals need to thrive in an AI-first worldHow AI tools like ChatGPT are changing the way analysts workWhat employers look for beyond technical expertiseStrategies to future-proof your data careerKetan also shares his journey from Credit Risk Analyst at HSBC to leading AI-driven initiatives at one of the world’s largest retailers.Whether you’re starting your data career, exploring AI’s impact on business, or curious about analytics in action, this episode is packed with actionable insights, inspiration, and career guidance.🎙️ Hosted by Amlan Mohanty — creator of Data Career School, where we explore AI, data analytics, and the future of work.Follow me:📺 YouTube 🔗 LinkedIn📸 Instagram🎧Listen now to level up your data career!Chapters00:00 The Journey of Ketan Mudda05:18 AI's Transformative Impact on Industries12:49 Responsible AI Practices14:28 The Role of Education in Data Science23:18 AI and the Future of Jobs28:03 Embracing AI Tools for Success29:44 The Importance of Networking31:40 Curiosity and Continuous Learning32:50 Storytelling in Data Science Leadership36:22 Focus on AI Ethics and Change Management41:03 Learning How to Learn44:57 Identifying Problems Over Tools

In this episode of Data Career School, I share actionable strategies to help you grow faster, get promotions, and step into leadership roles in your Data and Analytics career. Learn how to build the right skills, excel in your projects, and stand out in your company. Whether you’re a fresher or an early-career professional, these tips will help you climb the corporate ladder, boost your career growth, and become a top-performing data professional.