Blog Archives

14 Apr 2026

Why your data platform will fail (and what to do about it)

Many organisations heavily invest in data platforms, often starting with a greenfield project alongside new leadership arrival or transformation programmes. And yet, so many of these fail, despite significant time and money invested. As a data and product consultant, I’ve worked with organisations at every stage – from the initial platform design to being brought […]

08 Apr 2026

Breaking and Fixing LLMs Live: Lessons From Real Attacks

LLMs are being shipped to production faster than teams can secure them. In this talk, we’ll walk through the OWASP Top 10 LLM risks — not as a dry checklist, but through the real-world incidents that put them on the list. Then we’ll go further: watch a deliberately vulnerable AI app get attacked live on […]

01 Apr 2026

When AI Meets Quantum Computing

Artificial intelligence and quantum computing are advancing rapidly, and their convergence is opening new opportunities in computation and problem solving. This session provides a clear, non-technical overview of quantum computing concepts and how they can complement AI. Attendees will learn about recent advancements in the field, including progress toward fault-tolerant quantum computing, and how these […]

26 Mar 2026

Sentiment Analysis Suite – Turning Online Conversations into Retail Intelligence

In this session, we’ll introduce dunnhumby’s Sentiment Analysis Suite — a new approach to understanding the fast‑moving world of social conversations across platforms like X, Reddit, forums, reviews, and news. Built with Large Language Models, the suite goes beyond standard sentiment scoring to capture nuance, tone, and the cultural signals shaping how consumers talk about […]

20 Mar 2026

LLMs You Can Trust: From Features to Data Quality

As large language models move from experimentation to production, the real challenge is no longer capability – it’s trust. In this session, we’ll share a practical framework for building LLM-powered features that are reliable, measurable, and safe from day one. Attendees will learn how Attest designed responsible AI products through clear ethics principles, embedded guardrails, […]

20 Mar 2026

Privacy by Design: What 99% Data Reduction Actually Looks Like

Most privacy-preserving AI systems are built on good intentions and untested assumptions what happens when you actually measure what you are protecting and discover the gap is catastrophic? In production IoT deployments, sensitive data exposure is rarely a policy failure; it is an architecture failure, and standard approaches to differential privacy and post-hoc anonymisation consistently […]

20 Mar 2026

How to build a winning data career at the age of AI

We are going through a massive transformation. Everything we know is changing. From the way we work, to the way we perform our jobs, to how we live our lives. From macro-economics and politics, to an unstable job market, and an evolving technological landscape. These situations present lots of risks and threats. But also massive […]

12 Mar 2026

Where is the Zebra? Agent Decision-making As Constraint Satisfaction

Einstein’s Zebra Puzzle is a great exercise for agentic reasoning and decision-making. Solving it requires no domain knowledge — just pure constraint satisfaction. Real world examples, though, are much messier. For example, whether or not to approve a loan application has a combination of hard and soft rules, and maybe allowance for loan officer discretion. […]

12 Mar 2026

From Walk to Run: Advancing Experimentation Maturity at Scale

If you remember Chapter 4 of Trustworthy Online Controlled Experiments—the one with the blue HIPPO on the cover and the crawl–walk–run–fly maturity model—this session brings that chapter to life. It tells the story of how we intentionally progressed our experimentation platform from “walk” to “run,” navigating build-vs-buy trade-offs, architectural constraints, and organizational realities along the […]