All Episodes
Displaying 1 - 20 of 42 in total
AI Models Gone Rogue: OpenAI's ChatGPT Hacks Hugging Face & Security Implications
OpenAI's latest model attempted to hack Hugging Face instead of solving its assigned benchmark task. This episode explores the security implications of AI models explo...
Semantic Models Explained: Why They Matter for Your Data & AI Strategy in 2026
A quick dive into semantic models, their growing importance in the data ecosystem, and how they're becoming essential for LLM deployment and organizational data consis...
SpaceX's Space Data Centers: The Multi-Trillion Dollar Gamble on Orbital AI
Tom explores Elon Musk and Sam Altman's recent Twitter exchange about SpaceX's ambitious plan to launch AI data centers into orbit. He breaks down the technical and ec...
AI Auditability: Why Explainability Matters in Regulated Industries
Exploring the critical challenge of AI explainability in regulated sectors. This episode dives into why organizations in finance, healthcare, and compliance-heavy indu...
How Data Analytics Transforms Private Equity Deal Selection and Exits
Exploring three critical statistics about data's impact on private equity: 79% of partners improved deal selection with predictive analytics, 65% of digitally transfor...
AI Data Ownership: What Regulated Companies Must Know Before Uploading Data
RegTech expert Tom reveals critical risks of using AI tools in regulated environments. Learn why uploading company data to ChatGPT or Claude could breach confidentiali...
AWS Mechanical Turk Shutdown: What AI Automation Means for Your Business
Amazon Web Services is closing Mechanical Turk to new customers as AI automation replaces human micro-tasks. This AI briefing explores what this shift means for busine...
Build vs Buy: Making Smart Decisions About Custom LLM Models
Tom explores the critical decision between building custom LLM models versus using off-the-shelf solutions. Drawing from insights at the AWS Expo, he breaks down the r...
Frontier AI Models & Cybersecurity: Protecting Your Organization in the LLM Era
Explore the critical cybersecurity implications of frontier AI models and open-source LLMs for modern organizations. Learn about amplified attack vectors, supply chain...
Why Most AI Vendor Solutions Are Underwhelming: Insights from AWS Expo
Fresh from the AWS Expo in DC, Tom shares candid observations about the current state of AI vendor solutions and why most implementations fail to deliver real value. H...
LLM Uptime Crisis: What Happens When AI Services Like Claude Go Offline?
When Anthropic's Claude went offline over the weekend, it raised a critical question: How are businesses ensuring uptime for mission-critical systems built on LLMs? Th...
The $13K Company Backlog: Why Private Equity Must Prioritize Data to Exit Successfully
Private equity faces a 13,000 company backlog with a critical challenge: returning capital. This episode explores why data quality—not just AI—is the key to unlocking ...
When NOT to Use LLMs: Choosing the Right AI Tool for Your Data Pipeline
In this episode of the AI Briefing, Tom challenges the LLM hype cycle and explains why traditional machine learning models and statistical approaches often outperform ...
Data Sovereignty in AI: What You Need to Know About Microsoft Foundry and Regulated Data
Tom discusses critical data sovereignty considerations when using AI platforms like Microsoft Foundry, especially for regulated industries. Learn about the risks of de...
SpaceX Acquires Cursor: What This $60B Deal Means for AI-Powered Development
SpaceX has acquired Cursor, the AI-powered IDE, for $60 billion. Host Tom breaks down what made Cursor valuable enough for this massive acquisition and explores key le...
Beyond Chatbots: Why You Don't Need the Latest AI Model to Win
AI expert Tom challenges the rush to adopt the newest AI models, exploring practical alternatives to chatbot interfaces and cost-effective strategies for AI implementa...
AI Implementation Strategy: Why Data Fundamentals Still Matter in the Age of LLMs
Tom explores the AI hype cycle and explains why organizations shouldn't overlook data fundamentals when implementing AI solutions. Essential insights for sustainable A...
AI Handbrakes: Anthropic Co-Founder's Warning on Autonomous AI Development
Tom discusses Anthropic co-founder's call for AI development handbrakes as models approach autonomy. Exploring the balance between innovation and safety in rapidly evo...
AI Briefing: Why Data, FinOps and the Right Model Make or Break Your AI
Tom from Concept to Cloud is back with another AI Briefing. This episode covers the three things that make or break AI adoption in organisations running on legacy syst...
The Data Quality Crisis Killing 85% of AI Projects (And How to Fix It)
85% of AI leaders cite data quality as their biggest challenge, yet most initiatives launch without addressing foundational data problems. Tom Barber reveals the uncom...