Having completed this session you will be equipped with the skills and knowledge to successfully navigate complex business problems through drawing on your existing data discovery skills to seek out answers to ambiguous questions.

We will cover how to support your stakeholders to narrow down their brief through discovery and play back, how to use the tools available within a modern data warehouse to find the data that you need, and how to start small and build big to answer ambiguous questions. 

Having completed this session, you will be equipped with the skills and knowledge to effectively leverage Large Language Models (LLMs) to transform text data into structured insights.

Using our Monzo journey as a case study, we will walk through the core development lifecycle of our LLM-powered intent classifier. Used to identify why customers contact Monzo, helping to detect customer problems and dynamically route to the right help, faster.

We will explore how to extract a clean taxonomy from unstructured historical chat data, build a robust two-stage classification model, and achieve scalable, grounded evaluation by combining human and LLM-labeled data with LLM judges.

Women retire, on average, with 113,000 less pension wealth than men, largely because of predictable life events: lower pay, career breaks, part time work, and unequal parental leave.

The good news: there are practical steps you can take at any age to reduce your own gap.

Having completed this session, you will be equipped with the skills and knowledge to:

• Check your State Pension forecast and National Insurance record, understand gaps and the role of caring credits.
• Spot the “silent” pension gaps that happen when you work part time, have multiple jobs, or earn below auto enrolment thresholds (and know how to opt in).
• Prepare for maternity/shared parental leave and career breaks by understanding how workplace pension contributions typically work during paid leave and how to plan for unpaid periods.
• Run a simple “1% rule” reality check (e.g., how a small contribution increase across your career can help offset time out of the workplace).
• Do a quick pension admin tidy up: trace old pensions, update beneficiary nominations, and check your investment approach and charges.
• Start (or restart) money conversations at home so retirement saving is treated as a shared family asset and plan.

Data initiatives rarely fail because of a lack of insight. They fail because the narrative around them does not resonate.

This session explores how to tell compelling stories about data as a capability, a practice and a strategic enabler. Drawing on real experiences, it demonstrates how to translate complex or technical topics into clear, human narratives that connect with stakeholders and inspire action.

Having completed this session, you will be equipped with the skills and knowledge to communicate the value of data with greater clarity and confidence, tailor your message to different audiences, and use storytelling to influence decisions, build credibility and drive momentum for data initiatives.