All Episodes
Displaying 1 - 30 of 74 in total
Episode 74: How Competitive Debating Frameworks Can Revolutionise Your Data Science Career
Data storytelling might make your findings memorable, but persuasion is what gets your recommendations implemented. Many data scientists have mastered communication an...
Episode 73: [Value Boost] How to Trust Social Media Data When You Can't Trust Social Media
Social media data drives countless business decisions, but up to 40% of social media engagement may be artificial or manipulated by bots. For data scientists accustome...
Episode 72: The Social Media Hacker's Guide to Better Data Science
Social media algorithms silently shape what billions of people see and how they interact online. While most data scientists work to optimize business value within plat...
Episode 71: [Value Boost] Why Most Dashboards Fail and How to Fix Yours
Most dashboards and reports get ignored despite all the technical expertise that goes into creating them. The reason isn't technical limitations or poor data quality -...
Episode 70: How to Interpret Data Like a Pro in the Age of AI
Despite unprecedented data abundance and widespread data science education, even experienced data professionals still struggle to interpret data effectively. They draw...
Episode 69: [Value Boost] The Value Proposition Framework Every Data Scientist Needs to Master
Can you clearly articulate what makes your data science work valuable - both to yourself and to your key stakeholders? Without this clarity, you'll struggle to stay fo...
Episode 68: How to Market Your Data Science Skills Internally with the Insights-as-a-Service Approach
Internal data science teams face a unique challenge - they're providing an invisible service that only gets noticed when something goes wrong. This puts data scientist...
Episode 67: [Value Boost] The 3 Level Hierarchy That Protects Your Data Science Credibility
When deadlines loom, it's easy for data scientists to fall into the trap of cutting corners and bending analyses to deliver what stakeholders want. But what if a simpl...
Episode 66: How to Think Like a Data Scientist (Even While AI Does All the Work)
The data science world has always been obsessed with tools and techniques - a fixation that's only intensified in the era of generative AI. Yet even as ChatGPT and sim...
Episode 65: [Value Boost] How to Upgrade Your Data Visuals Without Design Training
Even the most brilliant data analysis can fall flat when presented with poor visualisations. Many data scientists simply use default charts from their analysis softwar...
Episode 64: Stop Being a Data Waiter and Start Stakeholder Whispering
Data scientists can often find themselves in a frustrating cycle - meticulously executing stakeholder requests only to discover what they delivered isn't what was actu...
Episode 63: [Value Boost] 3 Affordable AI Tools Every Data Scientist Needs
Looking for powerful AI tools that can dramatically boost your impact, regardless of the size of the businesses you serve? You don't need an enterprise-size budget to ...
Episode 62: The Data Science Gold Mine Hidden in Small Business AI Solutions
While most data scientists chase after scraps at the big business table, a hidden gold mine sits completely ignored. Small businesses are desperate for AI solutions bu...
Episode 61: [Value Boost] The 90-10 Rule for Transforming Data Science Impact
Would you believe that sharing a conversation in the lunch room could be more valuable to your data science career than spending countless hours behind a computer, per...
Episode 60: 5 Executive Priorities That Transform Data Science Results into Business Value
If you want to succeed in data science, you need to create business value. But what does business value actually mean to the executives with the power to make or break...
Episode 59: [Value Boost] How Data Scientists Can Get in the AI Room Where It Happens
Everyone’s talking about AI, but the real opportunities for data scientists come from being in the room where key AI decisions are made.In this Value Boost episode, te...
Episode 58: Why Great Data Scientists Ask ‘Why?’ (And How It Can Transform Your Career)
Curiosity may have killed the cat, but for data scientists, it can open doors to leadership opportunities.In this episode, technology leader Andrei Oprisan joins Dr Ge...
Episode 57: [Value Boost] 3 Game-Changing Questions to Save Your Data Science Presentations From Falling Flat
Every data scientist knows the sinking feeling: you’ve done brilliant technical work, but your presentation falls flat with stakeholders.In this Value Boost episode, c...
Episode 56: How a Data Scientist and a Content Expert Turned Disappointing Results into Viral Research
It’s known as the “last mile problem” of data science and you’ve probably already encountered it in your career – the results of your sophisticated analysis mean nothi...
Episode 55: [Value Boost] Why Data Scientists are Focus-Poor (and the Software Developer’s Solution to Fix It)
Have you ever noticed that software developers are frequently more productive than data scientists? The reason has nothing to do with coding ability.Software developer...
Episode 54: The Hidden Productivity Killer Most Data Scientists Miss
Why do some data scientists produce results at a rate 10X that of their peers?Many data scientists believe that better technologies and faster tools are the key to acc...
Episode 53: A Wake-Up Call from 3 Tech Leaders on Why You’re Failing as a Data Scientist
Are your data science projects failing to deliver real business value?What if the problem isn’t the technology or the organization, but your approach as a data scienti...
Episode 52: Automating the Automators – How AI and ML are Transforming Data Teams
In many organisations, data scientists and data engineers exist as support staff. Data engineers are there to make data accessible to data scientists and data analysts...
Episode 51: Data Storytelling in Virtual Reality
In the 2002 movie, Minority Report, the future of data interaction is depicted as Tom Cruise standing in front of a computer monitor and literally grabbing data points...
Episode 50: Addressing the Unknown Unknowns in Data-Driven Decision Making
When it comes to awareness and understanding, what we know and don’t know can be split into four categories: known knowns; unknown knowns; known unknowns; and unknown ...
Episode 49: AI-Generated Advertising and the Future of Content Creation
The idea of targeted marketing is nothing new. Even before the advent of computers and data science, businesses have always tried to optimise their advertising campaig...
Episode 48: Overcoming the Machine Learning Deployment Challenge
It’s been 12 years since Thomas H Davenport and DJ Patil first declared data science to be “the sexiest job of the 21st century” and in that time a lot has changed. Un...
Episode 47: Leveraging Causal Inference to Drive Business Value in Data Science
For most people, data science is synonymous with machine learning, and many see the role of the data scientist as simply being to build predictive models. Yet, predict...
Episode 46: Empowering Democracy with LLMs
With all the reports about the spread of misinformation and disinformation on social media, sometimes it feels like one of the biggest threats to democracy is technolo...
Episode 45: AI-Powered Investment Insights
Succeeding in stock market investing is all about timing – buying low, selling high and being able to read the signs to determine when things are going to change. But ...
