In this episode of Data in 10, we sit down with Kostas, a product leader with over 15 years of experience at the intersection of finance and AI, to cut through the AI hype and get to what actually drives real, measurable business impact.Kostas has spent most of his career in London in investment banking and is currently based in Cyprus, driving AI innovation at a large brokerage firm. He gives a refreshingly honest take on why so many organisations are investing in AI but seeing very little return — and what separates the companies that get it right from those that are simply experimenting.If you work in data, lead a team, or are trying to figure out how AI fits into your career, this episode is for you.In this video, you will learn:AI Enablement vs AI Professionalism: Why most people don't need to build AI and instead need to work with it effectively.The 3 Fundamentals of AI Success: Data integrity, governance, and strategic alignment Jobs & AI: Why roles are being reshaped, not just replaced and advice for junior professionalsData Debt: The hidden blocker killing AI projects in production and why the "dashboard delusion" fools management.Measuring AI ROI: The biggest mistake companies make and what metrics actually matter.Chapters:0:00 - Introduction & Welcome1:30- AI Enablement vs AI Professionalism3:42 - What Real AI Enablement Looks Like4:24 - 3 Fundamentals of AI Project6:52 - Are Jobs Being Replaced or Reshaped?10.38 - Why People Resist AI (It's About Agency, Not Technology)13.38 - Advice for Junior Professionals & Non-Linear Careers16.17 - Data Debt & The Dashboard Delusion19:53 - How to Measure Real ROI from AI21:28 - Outro & SubscribeConnect with the Guest:Kostas KotsopoulosLinkedIn:   / kostaskotsopoulos  Connect with the Hosts:Anurag GulatiLinkedIn:   / anurag-gulati-596843104  Website: https://analytics-with-anurag.com/Medha KhuranaLinkedIn:   / medha-khurana-17aa3b16b  Website: https://www.medhakhurana.com/

#AIStrategy #DataGovernance #ArtificialIntelligence #AIEnablement #FutureOfWork #DataScience #AILeadership #DataIn10 #CareerAdvice #BusinessAI #DigitalTransformation #MachineLearning #DataAnalytics #AIAtWork #TechPodcast #aipodcast #datacommunity

In this episode of Data in 10, we speak with Shivya, a pharmaceutical analytics professional who moved from India to Canada to build her career abroad. She shares her journey from leaving a stable career in India, becoming a student again in Canada, navigating the PR (Permanent Residency) process, and eventually securing a role as a Senior Analyst in business consulting.We discuss the realities of moving abroad, the biggest misconceptions about getting a job after PR, cultural adjustments, and the differences between work culture in India and Canada. Shivya also shares honest advice for anyone considering studying or working in Canada.If you’re curious about data careers in Canada, moving abroad for work, or the real experience of building a career overseas, this episode offers practical insights and honest perspectives.

Connect with Guest: Shivya KakkarLinkedIn: https://www.linkedin.com/in/shivyakakkar/Connect with the Hosts: Anurag Gulati LinkedIn: https://www.linkedin.com/in/anurag-gulati-596843104/ Website: https://analytics-with-anurag.com/ Medha Khurana LinkedIn: https://www.linkedin.com/in/medha-khurana-17aa3b16b/ Website: https://www.medhakhurana.com/

In this episode of Data in 10, we sit down with Pranav Sharma, a Tech Consultant at ZS Associates, to discuss the hidden reality of our digital lives. If you’ve ever wondered why you're being targeted by specific ads or what happens to your data when you feed it into AI models like ChatGPT, this video is for you. Pranav shares his journey from discovering datasets on Kaggle to working in the highly regulated world of healthcare and pharma. He dives into the "black box" of AI ethics, explaining why clicking "Accept All" is more than just a convenience, it’s a trade-off of your fundamental human rights. We also explore the reality of the consulting lifestyle, from global travel to the intensity of 14-hour workdays. In this video, you will learn: - The "Accept All" Trap: Why a lack of awareness around data privacy allows companies to build profiles that can shape your opinions. - The Life of a Consultant: The honest pros and cons of working at a top firm like ZS, including the learning curve and the work-life balance. - Making Data Relatable: How to bridge the gap between technical analytics and real-world business actions for non-tech stakeholders. - AI Ethics & Consent: Why putting personal data into LLMs means it stays in the ecosystem forever. Connect with Guest: Pranav Sharma LinkedIn: https://www.linkedin.com/in/pranav330/ Connect with the Hosts: Anurag Gulati LinkedIn: https://www.linkedin.com/in/anurag-gulati-596843104/ Website: https://analytics-with-anurag.com/ Medha Khurana LinkedIn: https://www.linkedin.com/in/medha-khurana-17aa3b16b/ Website: https://www.medhakhurana.com/ #DataScience #DataPrivacy #AIEthics #ConsultingLife #ZSAssociates #HealthcareAnalytics #DataIn10 #CareerAdvice

Can you land a high-stakes Data Science role in London immediately after your Master's with zero prior experience?

Aniket, a data scientist in London, reveals how he went from a Business Analytics student to advising the Premier League and some of the biggest names in the sports industry.

What’s inside this episode:

• The "Start Early" Strategy: How Aniket hacked the job hunt to get hired before graduation.

• Data Science in the Premier League: How machine learning is used to find replacements for star players and optimize match schedules.

• The AI Workflow: How Aniket uses GitHub Copilot to learn new languages like Python and Java on the fly.

• The "Niche" Secret: Why finding a specific area of interest is the most important part of your job search in the age of AI.

Whether you are a student planning your move to the UK or a tech enthusiast curious about the intersection of data and football, this episode is packed with actionable insights.

🔗 CONNECT WITH HOSTS:

• Anurag Gulati: https://analytics-with-anurag.com/

• Medha Khurana: https://www.medhakhurana.com/

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