Tech Leaders Collective – South West

What does it take to talk to your data?

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Join us at our latest Tech Leaders Collective – South West Meetup with David and Calvin for a practical, insight-led session exploring how leading organisations are enabling executives to truly talk to their data.

We’ve entered an era where leaders expect to ask questions in plain English and receive trustworthy answers from their data. The organisations getting ahead, however, aren’t relying on chatbots bolted onto messy foundations. Instead, they are pairing AI with engineered data layers and strong guardrails to deliver reliable, decision-ready insights.

In this session, David and Calvin will walk through the concrete architecture patterns that make this work at scale, including AI-accelerated semantic data models enriched with both business and technical context. They’ll also demonstrate how insights can be automatically visualised into clear, actionable charts that support faster and more confident decision-making.

Event Details

Date: Tuesday, 3rd March
Time: Arrival from 4pm. Talk from 4:30pm
Location: iO Associates, St. Bartholomew’s House, Lewins Mead, BS1 2NH
Who: This Meetup will suit tech leaders including: CTOs, CIOs, CEOs, Founders, Directors, Heads of and Managers
Register: Complete our registration form to secure your spot.

An opportunity to network with fellow tech leaders in the South West area before a thought-provoking talk from Snap Analytics’s, David and Calvin, followed by small-group discussions where attendees can unpack the key themes from the session, share real-world experiences, and explore how the new information applies within their own organisations.

The event will be held under the Chatham House Rule, creating a trusted environment that encourages open and honest discussion.

The Talk

What does it take to talk to your data? (David Rice, CEO at Snap Analytics and Calvin Fuss, Head of Artificial Intelligence at Snap Analytics)

What we’ll explore:

Data model & context. AI is only as good as the data and context it’s given. We’ll show how to accelerate model design with AI while capturing business definitions, source schema relationships, and the actual questions the business needs answered.
Medallion architecture. How bronze (raw), silver (cleaned/standardised) and gold (curated, business‑ready) layers create trustworthy, consistent inputs for LLMs and agents.
Enterprise ontology. Building the map of tables, joins, metrics and business terms that drive consistent answers across teams and use cases.
Safe text‑to‑SQL. Designing the agent with read-only access, schema/table limits, and an AI safety validator to block destructive or out-of-scope prompts.
Instant visualisation. Turning query results into clear, decision‑ready charts with image‑capable LLMs