AI Summit London 2022
as the organisers put it
Discover The AI Summit London, the longest-running AI conference. 10+ stages ✓ 5000+ attendees ✓ Unrivalled learning, networking and innovation ✓ Join us 10-11 June. Book early to save!
who it's for
data scientists, AI product managers, machine learning engineers, engineering managers, data engineers, R&D scientists, retail analytics leads
topics
graph neural networks for personalization; natural language order taking; early warning systems from small datasets; adaptive cruise control driver assistance; in silico formulation design; high performance computing for AI; dynamic pricing and supply chain automation; guest-listing graph personalization; AI governance and GDPR compliance; AI apprenticeship and workforce training; foundation models and quantum watchlist
| title | author | length |
|---|---|---|
| Embracing and Inspiring Change | Tarv Nijjar | 17m |
Claims a problem-first mindset that prioritizes customer and crew needs and evaluates ideas by desirability, viability, feasibility; cites McDonald’s scale—120… | ||
| Data Science | Clair Lebarz | 06m |
Claim: graph learning is the lever behind better personalization and product decisions, not just a buzzword. Evidence: platform behavior shifts to stays about… | ||
| AI Summit 2022: Bob Compton, CIO of Mobilize Financial Services | Bob Compton | 06m |
Company runs bespoke in-house software, maintains a data science team in Paris and coordinates an AI/RPA tribe that surveys use cases across 25 countries to… | ||
| AI in Retail | Barry Panayi | 07m |
Claims that data and AI cut operational cost and free staff time by automating supply‑chain planning, dynamic pricing, call‑centre routing, inventory… | ||
| AI Summit 2022: Unilever's Alberto Prado | Alberto Prado | 11m |
Prado claims Unilever uses AI plus high performance computing and richer data to do in silico innovation—computational models that cut years out of lab… | ||
| data science in automotive | Mohammed Sayed | 08m |
Claims concrete outcomes: a working early warning systems that uses small datasets from vehicles retailers and social media to predict likelihood of larger… | ||
| nothing matches | ||