Optimize ML team structure: Discover 2 common approaches, their pros and cons, and learn to choose the right one for your organization.
![Partnering to Achieve an Adaptive Workforce](https://blog.cloudfactory.com/hubfs/Image%20Resizing%20for%20Blog%20and%20Social%20%286%29-Nov-23-2020-09-29-40-23-PM.png)
Some organizations are winning in a pandemic by adapting to changing customer and market demands. We’ve provided adaptive workforces for a decade. Here’s what they look like.
![Seeing the Big Picture with Your AI Data](https://blog.cloudfactory.com/hubfs/Mural.jpg)
Achieving a high level of accuracy in data labeling is vital. This concept can be understood if we think about a mural of Rubik’s Cubes®.
![How to Solve the Specialization Challenge](https://blog.cloudfactory.com/hubfs/Image%20Resizing%20for%20Blog%20and%20Social%20%2810%29-Nov-23-2020-09-36-48-89-PM.png)
Any problem (like a Rubik’s cube®) is solvable with a documented process.
![What You Need to Know to Solve Your Data Puzzle](https://blog.cloudfactory.com/hubfs/Image%20Resizing%20for%20Blog%20and%20Social%20%289%29-Nov-23-2020-09-35-47-53-PM.png)
How solving a Rubik’s cube® is like labeling your unstructured data.
![When and Why AI Projects Fail (And How to Avoid It)](https://blog.cloudfactory.com/hubfs/04-blog-img/cf-blogs-why-ai-failed-03.jpg)
Melody Ayeli, who reviews AI projects for Toyota’s CIO, shared insights on common AI failure points in a session at AI Summit in San Francisco.
![Best Practices for Your AI Workforce [SlideShare]](https://blog.cloudfactory.com/hubfs/Image%20Resizing%20for%20Blog%20and%20Social%20%2810%29-Nov-23-2020-09-03-16-05-PM.png)
Our latest SlideShare provides details on your workforce options and shares best practices for choosing your AI workforce.