The Conference for Machine Learning Innovation

Data science without data: the cold start playbook

Session
Join the ML Revolution!
Register until September 16:
✓Save up to $290
✓10% team discount
Register Now
Join the ML Revolution!
Register until September 16:
✓Save up to $290
✓10% team discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
Register Now
Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
Register Now
Infos
Wednesday, November 30 2022
16:00 - 16:45
Room:
Salon 3

The industry narrative is all about data. Cloud providers focus on storage and pipelines. Research labs build impressive foundational models trained on huge datasets. This creates an impression that no new initiative can be started without access to lots of data. In this talk, we will review an alternative to this narrative, focused on the cold start of AI projects – where little-to-none data is present. We will discuss both technical design patterns (mathematical modeling, rule-based systems, active learning, etc) and product decisions (tail performance, cohorting, reject option, and others) that unlock the creation of AI products faster, cheaper, and with more frequent customer feedback. The talk will be interesting for data scientists and product managers who involved in the creation of AI solutions from scratch

This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Singapore Singapore .

Take me to the full program of Zum vollständigen Programm von Berlin Berlin .

This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Munich Munich .

This Session Diese Session belongs to the gehört zum Programm von BerlinBerlin program. Take me to the current program of . Hier geht es zum aktuellen Programm von Singapore Singapore , Berlin Berlin or oder Munich Munich .

Behind the Tracks