Adam Gajtkowski - Next Best Action (NBA) - Personalised Recommendations | RecSys London
"Next Best Action: the FT Approach to Data-Driven Engagement Personalisation" A talk by Adam Gajtkowski, Data Scientist, Financial Times. Q&A 16:20 RecSys London Meetup https://www.meetup.com/RecSys-London/... Talks: Adam Gajtkowski - "NBA - Personalised Recommendations | RecSys London" This video Mark Gannaway - "Content-Based Recommendations: Dealing with the Paradox of Choice" • Mark Gannaway - Content-Based Recommendati... Joe Provost - "How Lyst Serves Recommendations with low latency, at scale" • Joe Provost - How Lyst Serves Recommendati...
▶︎
Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026
▶︎
Next Best Action: Maximizing Customer Value – Sergei Bulaev | Compass Tech Summit 2023
▶︎
Avicii, Dua Lipa, Coldplay, Martin Garrix & Kygo, The Chainsmokers Style - SUMMER DEEP HOUSE Mix
▶︎
How to Build Systems to Actually Achieve Your Goals
▶︎
Nobel Prize lecture: Demis Hassabis, Nobel Prize in Chemistry 2024
▶︎
Tutorial 2B Hands On Reinforcement Learning for recommender systems
▶︎
Is AI Hiding Its Full Power? With Geoffrey Hinton
▶︎
Full Tutorial: Customer Lifetime Value (CLV) in Python (Feat. Lifetimes + Pycaret)
▶︎
Yann LeCun: World Models: Enabling the next AI revolution
▶︎
The Strange Math That Predicts (Almost) Anything
▶︎
What are some of the key issues facing Australia? - World Questions podcast, BBC World Service
▶︎
Booking.com's AI-driven demand shift- What's changing & why #Phocuswright Travel Marketing AI Summit
▶︎
4 Hours of Deep Focus Music for Studying - Concentration Music For Deep Thinking And Focus
▶︎
Birth of BASIC
▶︎
State-Of-The-Art Prompting For AI Agents
▶︎
Google Generative AI Leader Certification Course – Pass the Exam!
▶︎
Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
▶︎
6. Monte Carlo Simulation
▶︎
Customer-centric sales and marketing orchestrating HCP engagement using AI and automation
▶︎