All Episodes

Episode 105: From AI Idea to Production Reality

Episode 104: [Value Boost] The Four Zones of AI Productivity for Data Scientists

Episode 103: The Art of the Actionable Insight

Episode 102: [Value Boost] How Giving Away Your Work for Free Can Build Your Authority as a Data Scientist

Episode 101: Why Traditional Statistics Still Matters in the Age of AI

Episode 100: What Data Science Value Really Means

Episode 99: [Value Boost] Preventing ML Bias Before it Becomes a Problem

Episode 98: Building Trust in AI Through Model Interpretability

Episode 97: [Value Boost] Mathematical Modelling as a Gateway to ML Success

Episode 96: Making Better Decisions with ML and Optimisation

Episode 95: [Value Boost] Building Models That Work While Millions Are Watching

Episode 94: Creating Global Impact with Data Science

Episode 93: [Value Boost] What Industry Data Scientists Can Learn from Academic Training

Episode 92: Making the Academia to Industry Leap in Data Science

Episode 91: [Value Boost] How Your Hobbies Can Supercharge Your Data Science Career

Episode 90: Using LLMs to Become a More Effective Data Scientist

Episode 89: [Value Boost] LinkedIn Strategies for Boosting Your Data Science Career

Episode 88: Building a Data Science Career After Unexpected Job Loss

Episode 87: [Value Boost] How Your Weirdness Could Be Your Data Science Superpower

Episode 86: Why Every Data Scientist Is Already Running a Business

Episode 85: [Value Boost] The Office Politics Survival Guide for Data Science Experiments

Episode 84: The 7-Step Checklist for Creating Business Impact Through Product Analytics

Episode 83: [Value Boost] How to Gamify Data Science Requirements Gathering for Better Results

Episode 82: Why You Should Start Your Data Projects with Pictures Not Data

Episode 81: [Value Boost] How to Frame Data Problems Like a Decision Scientist

Episode 80: Why Decision Scientists Succeed Where Data Scientists Fail

Episode 79: [Value Boost] The Win Win Data Product Validation Strategy

Episode 78: From Machine Learning Engineer to Independent Data Professional Before 30

Episode 77: [Value Boost] Why Your Data Team Needs a Book Club

Episode 76: The 3 Step Framework That Transforms Data Order-Takers to Strategic Business Partners

Episode 75: [Value Boost] The Psychology Hack That Gets Your Data Insights Heard

Episode 74: How Competitive Debating Frameworks Can Revolutionise Your Data Science Career

Episode 73: [Value Boost] How to Trust Social Media Data When You Can't Trust Social Media

Episode 72: The Social Media Hacker's Guide to Better Data Science

Episode 71: [Value Boost] Why Most Dashboards Fail and How to Fix Yours

Episode 70: How to Interpret Data Like a Pro in the Age of AI

Episode 69: [Value Boost] The Value Proposition Framework Every Data Scientist Needs to Master

Episode 68: How to Market Your Data Science Skills Internally with the Insights-as-a-Service Approach

Episode 67: [Value Boost] The 3 Level Hierarchy That Protects Your Data Science Credibility

Episode 66: How to Think Like a Data Scientist (Even While AI Does All the Work)

Episode 65: [Value Boost] How to Upgrade Your Data Visuals Without Design Training

Episode 64: Stop Being a Data Waiter and Start Stakeholder Whispering

Episode 63: [Value Boost] 3 Affordable AI Tools Every Data Scientist Needs

Episode 62: The Data Science Gold Mine Hidden in Small Business AI Solutions

Episode 61: [Value Boost] The 90-10 Rule for Transforming Data Science Impact

Episode 60: 5 Executive Priorities That Transform Data Science Results into Business Value

Episode 59: [Value Boost] How Data Scientists Can Get in the AI Room Where It Happens

Episode 58: Why Great Data Scientists Ask ‘Why?’ (And How It Can Transform Your Career)

Episode 57: [Value Boost] 3 Game-Changing Questions to Save Your Data Science Presentations From Falling Flat

Episode 56: How a Data Scientist and a Content Expert Turned Disappointing Results into Viral Research

Episode 55: [Value Boost] Why Data Scientists are Focus-Poor (and the Software Developer’s Solution to Fix It)

Episode 54: The Hidden Productivity Killer Most Data Scientists Miss

Episode 53: A Wake-Up Call from 3 Tech Leaders on Why You’re Failing as a Data Scientist

Episode 52: Automating the Automators – How AI and ML are Transforming Data Teams

Episode 51: Data Storytelling in Virtual Reality

Episode 50: Addressing the Unknown Unknowns in Data-Driven Decision Making

Episode 49: AI-Generated Advertising and the Future of Content Creation

Episode 48: Overcoming the Machine Learning Deployment Challenge

Episode 47: Leveraging Causal Inference to Drive Business Value in Data Science

Episode 46: Empowering Democracy with LLMs

Episode 45: AI-Powered Investment Insights

Episode 44: Designing Data Products People Actually Want to Use

Episode 43: Shaping the Future of AI

Episode 42: Should You Outsource Your Data Team?

Episode 41: Building Better AI Apps with Knowledge Graphs and RAG

Episode 40: Making Data Science Teams Profitable

Episode 39: The Impact of Data Science on Data Orchestration

Episode 38 – The Art and Science of Survey Design

Episode 37: Data Privacy in the Age of AI

Episode 36: Sequential Decision Problems

Episode 35: Data-Driven Podcasting

Episode 34: Financial Modelling for Start-Up Founders

Episode 33: Making the Shift from Data Scientist to Datapreneur

Episode 32: Blockchain and Cryptocurrency for Data Science

Episode 31: The Business Leader as Data Consumer

Episode 30: Cause and Effect Data Science

Episode 29: Creating Order From Data Chaos

Episode 28: The Data Science Behind ChatGPT

Episode 27: The Future of Technology in Financial Services

Episode 26: Data Storytelling and Data-Informed Education

Episode 25: The Risks of Applying Data Science to Financial Modelling

Episode 24: AI and IP

Episode 23: Reinforcement Learning – The Other Type of Machine Learning

Episode 22: Software Engineering for Data Science

Episode 21: Responsible Data Sourcing for AI Model Building

Episode 20: Using Data Science to Live Better for Longer

Episode 19: The Democratisation of AI and Data Science

Episode 18: Making AI Commercially Viable

Episode 17: How to Avoid an AI Scandal

Episode 16: Improving the Data Science Customer Experience

Episode 15: Graph-Powered Data Science

Episode 14: Building Your Authority in Data Science

Episode 13: Breeding Data Science Unicorns

Episode 12: The Role of Data in Environmental Justice

Episode 11: Better Workplace Conversations for Data Scientists

Episode 10: ChatGPT and the Future of Human Computer Interaction

Episode 9: Learning Data Science at Scale with OMSCS

Episode 8: Data Science in the Metaverse

Episode 7: Finding and Retaining the Best Data Talent

Episode 6: Bridging the Chasm Between Data Science and Engineering

Episode 5: Identifying Data Science Use Cases for your Business

Episode 4: The Role of the Board in Maximising the Value of Data

Episode 3: Fairness and Anti-Discrimination in Machine Learning

Episode 2: Leading a Technical Team – Transitioning from Individual Contributor to Manager and Beyond

Episode 1: Building Data Science Capability in Data-Focussed Teams