The Confusion Matrix
Welcome to the confusion matrix where we have lively and candid discussions about data, data science and AI in day to day life, business and beyond.
Diminutive Data, Big Bias and Honest Analysis
Pete and Alex discuss their love of small data, the role of human biases (and lack thereof) in data analysis, and keeping it real as an analyst in the face of unrealistic business expectations.
Business Unintelligence, Analytical Infidelity and The Vibe Coding Apocalypse
Pete and Alex discuss the increasing role of GenAI in Business Intelligence (BI), Alex’s experiences of cheating on Pandas with Polars and they forecast doom via an incoming vibe coding cataclysm.
Notable Notebooks and Unpredictable Unicorns
Alex and Pete discuss Alex’s foray to the magical world of Marimo notebooks, and discuss their pros and cons and why Alex is a convert (for now). Pete raises the problems that arise from finding that “unicorn” client too early in a business’s life.
Knowledge Bases Part 2 – It’s easy when you know how
Pete and Alex continue their epic chinwag on how to knowledge base. In this episode they discuss the challenges of Retrieval Augmented Generation (RAG), effectively chunking text data, how to know what “good” looks like, and Alex gets a bit shirty about LLMs apparently reinventing programming.
Knowledge Bases Part 1 – Knowledge Basics
Alex and Pete discuss the nature of knowledge bases, what they are and what they’re not, some of the platforms and tools for creating and maintaining them, before realising that they have so much to say there’s going to need to be another episode!
Being Mean About Averages
Alex and Pete discuss the pitfalls of using averages as key performance indicators, and explore Decentralised Autonomous Organisations (DAOs) and their potential use in art collectives and other community-minded organisations, as well as the possible implications of AI in business decision-making.
For the Love of Flat Files and Human Compatible AI Interfaces
Alex and Pete debate the merits of flat files versus complex databases – a battle as old as time (or at least, as old as relational databases). They also uncover CHIP.AI, a no-code AI assistant builder, proving that even the most technically challenged can harness the power of AI. Tune in for some data-science shenanigans!
When is a book not a book? When it’s an AI book!
Things get heated is Alex and Pete debate the merits of LLMs for authoring books, the dangers of using labels like “PhD level thinking” to models, and the limitations of the associated benchmarks, and observe the creaky state of the stock market from a tech and AI perspective. Here’s the links to various sources for […]
Confusion Matrices and Confusing Behaviour
Alex and Pete discuss the creation of their podcast’s visuals and soundtrack using AI tools, the concept of the confusion matrix in machine learning, and the importance of questioning overly accurate models. They also explore how data can provide insights into workplace productivity and team dynamics.
LLMs – The Good, The Bad, and the Ugly
Alex and Pete kick off their new podcast by dipping their toes in the murky waters of LLMs and how they seem to be insinuating their way in to all manner of aspects of their lives. Good or bad or ugly? Tune in to find out!
