Jane Smith
Employers on the program
- 2025–2026ThoughtSpot8 talks
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- Big Data LDN
- Data Decoded
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Sep 23, 2026 | Big Data LDN 2026 | Big Data LDN | keynote | Beyond BI: Dunelm's AI-Powered Decision Intelligence as ThoughtSpot Hear how Dunelm, the UK’s leading homewares retailer, is transforming data from a reactive byproduct into a real-time, action-driven operational "Control…Show lessHear how Dunelm, the UK’s leading homewares retailer, is transforming data from a reactive byproduct into a real-time, action-driven operational "Control Tower." Managing 85,000 SKUs across 184 stores and a massive e-commerce operation is no small feat. To scale efficiently, Dunelm is shifting to search-driven, agentic coordination. Join Jeff Howarth, Dunelm’s Director of Data Analytics, as he shares their four-phase evolutionary roadmap toward a fully centralized, AI-driven ecosystem. Discover how Dunelm leverages ThoughtSpot’s semantic layer as a bedrock for consistency, deploying Spotter and Spotter Viz to give users trusted self-service access and a true generative AI partner. | |
| Sep 23, 2026 | Big Data LDN 2026 | Big Data LDN | speaker | Building for 'tokenomics' - How to Scale Agentic AI Without Panicking the CFO as ThoughtSpot Do you look at token costs and think - hey.. wasn't AI supposed to SAVE us money? We know that average enterprise AI budgets expanded massively in 2026, driven…Show lessDo you look at token costs and think - hey.. wasn't AI supposed to SAVE us money? We know that average enterprise AI budgets expanded massively in 2026, driven by huge inference inference spend rather than model training. This talk presents a framework for data leaders to bridge architecture with procurement and finance before run rates go loco. Discover how chunking standards, semantic caching, and metadata, offloading with MCP etc. allow you to deliver enterprise intelligence with predictable and manageable costs. | |
| Sep 23, 2026 | Big Data LDN 2026 | Big Data LDN | speaker | The Context Problem: How to Make Enterprise AI Understand Your Business as ThoughtSpot As organisations race to deploy AI across the enterprise, many are discovering that the hardest part is not choosing the right model. It is giving AI enough…Show lessAs organisations race to deploy AI across the enterprise, many are discovering that the hardest part is not choosing the right model. It is giving AI enough business context to produce accurate, reliable, and cost-effective results at enterprise scale. This panel explores what "context" actually means for enterprise AI, where semantic layers, ontologies, and governance fit into the picture, and what organisations are learning as they move AI initiatives from pilot to production. Drawing on real-world examples, these industry leaders will share practical lessons, common pitfalls, and the context that makes the difference between AI and enterprise AI. | |
| Sep 23, 2026 | Big Data LDN 2026 | Big Data LDN | keynote | The Duel of the Data Experts as ThoughtSpot Forget polite panel discussions and canned PowerPoint slides. The Duel of the Data Experts is a high-stakes clash of ideas where you, the audience, hold the…Show lessForget polite panel discussions and canned PowerPoint slides. The Duel of the Data Experts is a high-stakes clash of ideas where you, the audience, hold the power. Six of the industry's sharpest thinkers will take the stage to debate the most pressing controversies in modern analytics. Operating under strict time limits, our debaters are split into two opposing camps: Team Optimist (visionaries betting on the AI-driven future) and Team Pragmatist (battle-hardened veterans who’ve lived enterprise software reality). They debate, YOU vote. Fast, unfiltered, and deeply provocative, this interactive session pits champion against challenger across three explosive thematic rounds: ROUND 1 — THE INTERFACE: AI Analytics means dashboards, and even data stories, are a thing of the past. Can conversational AI agents truly replace human-designed BI reporting, or are we abandoning visual clarity for hallucinated chaos? ROUND 2 — THE ARCHITECTURE: Modern semantic architecture finally makes 'Single Source of Truth' a reality. Do modern semantic layers finally solve corporate metric alignment, or are we just building the next unmanageable tech swamp? ROUND 3 — THE HUMAN: Data teams and analysts are the primary drivers of modern business value. Does AI elevate analysts into strategic powerhouse decision-makers, or are data teams dazed and drowning in an automated ticket queue? Expect sharp banter, zero corporate diplomacy, and direct audience voting to decide who wins each round. Whether… | |
| Apr 22, 2026 | Data Decoded LDN 2026 | Data Decoded | speaker | The Business-First Data Strategy: How Roche Built a Platform for their GTM Engine as ThoughtSpot | |
| Apr 22, 2026 | Data Decoded LDN 2026 | Data Decoded | speaker | Who’s Really in Control? Exposing the Truth About Data Governance in the Age of AI as ThoughtSpot | |
| Sep 24, 2025 | Big Data LDN 2025 | Big Data LDN | keynote | Agents Among Us: Trust, Transformation & Accountability in the Age of Agentic AI as ThoughtSpot As AI agents become embedded in everyday workflows — from healthcare diagnostics to financial services chatbots — the line between human and machine continues…Show lessAs AI agents become embedded in everyday workflows — from healthcare diagnostics to financial services chatbots — the line between human and machine continues to blur. This panel brings together industry leaders to tackle the tough questions: • How do we trust AI agents in high-risk environments? • What are the new rules of ownership and accountability when autonomous systems act on data? • Is AI replacing or enhancing the human workforce — and how do we keep the balance right? We'll unpack how AI agents are evolving across sectors, debate whether the current LLM paradigm is enough, and explore the new guardrails needed to futureproof agentic AI — without losing control. | |
| Sep 24, 2025 | Big Data LDN 2025 | Big Data LDN | speaker | From 0 to VEGA: Shifting automotive intelligence into high gear with Keyloop as ThoughtSpot Buckle up for a bold ride into the future of performance intelligence. In this session, Keyloop - one of the world’s top digital innovators in automotive retail…Show lessBuckle up for a bold ride into the future of performance intelligence. In this session, Keyloop - one of the world’s top digital innovators in automotive retail shares how it’s putting data in the driver’s seat to revolutionise decision-making. Powered by ThoughtSpot and AWS first-party technologies, get an inside look at VEGA, their next-gen AI-powered performance intelligence platform. No dashboards. No bottlenecks. Just real-time, actionable insights that surface hidden issues, suggest smarter actions, and boost performance, profit, and customer experience. If you're ready to see what happens when AI meets speed, scale, and simplicity, this is your green light. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Dan Keeley | 3 | — | 2026 |
| Darren Wood | 3 | — | 2026 |
| Effie Kilmer | 3 | — | 2026 |
| Jason Foster | 3 | — | 2026 |
| Joe Herbert | 3 | — | 2026 |
| Jovita Tam | 3 | — | 2026 |
| Mike Ferguson | 3 | — | 2026 |
| Rosanne Werner | 3 | — | 2026 |
| Andy Cotgreave | 2 | 2 | 2026 |
| Adam Sroka | 2 | 1 | 2026 |
| David Reed | 2 | 1 | 2026 |
| Dr. Joe Perez | 2 | 1 | 2026 |
| Sarah Levy | 2 | 1 | 2026 |
| Srimanth Rudraraju | 2 | 1 | 2026 |
| Victoria Sybel-Scott | 2 | 1 | 2026 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.