All Episodes
Value Driven Data Science — 127 episodes · page 1 of 2
Episode 128: [Value Boost] The Three Types of Memory Every AI Agent Needs
Episode 127: From Algorithms to Agents and What It Means for Data Science
Episode 126: Why AI Excels at Some Things and Sucks at Others
Episode 125: The AI Chicken Nugget Problem
Episode 124: [Value Boost] 8 Disciplines Every Decision System Needs
Episode 123: How to Build a Decision Factory Inside Your Organisation
Episode 122: [Value Boost] 4 Questions Every Data Scientist Should Ask About AI Strategy
Episode 121: What Hybrid Agentic AI Organisations Mean for Data Science
Episode 120: [Value Boost] The AI Silent Correctness Problem
Episode 119: Rewiring Your Data Science Thinking for the Agentic AI Era
Episode 118: [Value Boost] Compounding Your Data Science Authority Beyond Blog Posts
Episode 117: Writing Your Way to Authority as a Data Scientist
Episode 116: [Value Boost] What Data Scientists Need to Know Before the AI Free Ride Ends
Episode 115: Evolving Your Data Career for the AI Era
Episode 114: [Value Boost] The Four Conversations Every Data Scientist Needs to Master
Episode 113: The Experts' AI Manifesto
Episode 112: [Value Boost] Lies, Damned Lies and Stakeholders
Episode 111: Building Your Defences Against AI Misinformation
Episode 110: [Value Boost] Why You Need Less Data Than You Think
Episode 109: How to Measure Anything and Make Better Decisions
Episode 108: [Value Boost] How to Use AI Without Losing Your Edge
Episode 107: Building a Virtual Empire of AI Specialists
Episode 106: [Value Boost] When AI Isn't the Answer
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