Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Common Mistakes in Building AI Products - How to Avoid Project Failures

Data Science Conference via YouTube

Start learning Write review
Coursera Ad

AI, Data Science & Cloud Certificates from Google, IBM & Meta

Learn More → Corporate Finance Institute Ad

Finance Certifications Goldman Sachs and Amazon Teams Trust

Learn More →

Overview

Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
Learn from a comprehensive analysis of AI project failures in this 31-minute conference talk from Data Science Conference Europe 2022. Explore ten detailed case studies highlighting common mistakes made by managers, developers, and data scientists during AI product development. Discover why 85% of AI projects fail according to Gartner's research, and gain valuable insights into preventing these pitfalls. Master practical strategies for implementing crucial lifecycle changes that can significantly improve the success rate of AI product development and delivery.

Syllabus

Avoid mistakes building AI products | Karol Przystalski | DSC Europe 2022

Taught by

Data Science Conference

Reviews

Start your review of Common Mistakes in Building AI Products - How to Avoid Project Failures

Start learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.