#126 Make Your A/B Testing More Effective and...

Cloud data platforms now offer hundreds of services, plus a growing menu of SQL, NoSQL, and open source options. Unified environments promise a simpler path, but the hard trade-offs—consistency versus scale, single-writer versus sharded, RPO/RTO targets—still matter. In daily wor ...  Afficher plus

Decision intelligence is showing up across data and AI teams as companies move beyond dashboards to decisions made with context. Graphs, entity resolution, and better data products are becoming core tools as messy, siloed data meets stricter risk and compliance needs. In day-to-d ...  Afficher plus

Just about anything can be A/B tested, and it can be done by just about anyone. Nicole Lau, Product Manager at eBay, is here with us to expla ...

Stefan Thomke, professor at Harvard Business School, says running experiments can give companies tremendous value, but too often business leaders make decisions based on intuition. While A/B testing on large transaction volumes is common practice at Google, Booking.com, and Netfl ...  Afficher plus

Conjoint analysis is like AB tester, but more bigger more better: instead of testing one or two things, you can test potentially dozens of options. Where might you use something like this? Well, if you wanted to design an entire hotel chain completely from scratch, and to do it i ...  Afficher plus

Let’s talk about production and winning cases. It’s not only about acquiring new clients, but also acquiring new clients that can deliver results. A potential breakthrough using Artificial Intelligence, AI. How do we frame, understand, and implement the best of AI’s capabilities? ...  Afficher plus