Optimize ML team structure: Discover 2 common approaches, their pros and cons, and learn to choose the right one for your organization.
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.
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®.
Any problem (like a Rubik’s cube®) is solvable with a documented process.
How solving a Rubik’s cube® is like labeling your unstructured data.
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.
