The Challenges of Model Maintenance in 2020 [Infographic]

Scaling AI Lynn Heidmann

Building an Enterprise AI strategy that is fit to carry the business through economic highs and lows isn’t just about implementing a list of use cases and leveraging reuse to expand on those use cases. It’s also pivotal to have systems for monitoring models in production and to be able to quickly introduce, test, train, and implement new models in order to shift strategies or adapt to changing environments on a dime.

This infographic details why model maintenance is challenging and how businesses can start to tackle it.

FULL-model-mainteance-infographic

You May Also Like

How Deloitte Scaled AI With Blended Teams and Dataiku

Read More

The Foundation for Agent Success: The Modern AI Architecture

Read More

Your Health Data Is Powerful, and It Needs Protection

Read More

From Chaos to Control: End Shadow Analytics With Dataiku

Read More