We Value Your Privacy

We use technology such as cookies on our website, and through our partners, to personalize content and ads, provide social media features, and analyse our traffic. To find out more, read our privacy policy and Cookie Policy. Please also see our Terms and Conditions of Use. By accepting these terms you agree to your information being processed by Inbox Insight, its Partners or future partners, that you are over 18, and may receive relevant communications through this website, phone, email and digital marketing. For more information on how we process your data, or to opt out, please read our privacy policy. Our policies and partners are subject to change so please check back regularly to stay up to date with our terms of use and processing.

Accept Terms Settings
x

Please Sign-In to Access this Report

To access other reports on the platform please sign in with your username and password, or register for a free account to get unlimited access and insight customized for you.

Ebook 2021 Trends: Where Enterprise AI Is Headed Next

2021 Trends: Where Enterprise AI Is Headed Next

2020 was a year defined by uncertainty. But as we dive into 2021, we look under the hood to gather our learnings from last year. We find growing glimpses of optimism and preparedness for the future — particularly when we observe the changes 2020 ignited.

Report Snap Shot

"AI experimentation, a key part of MLOps, will become more strategic... Trying all combinations of every possible hyperparameter, feature handling, etc., quickly becomes untraceable. Therefore, we’ll begin to see organizations define a time and/or computation budget for experiments as well as an acceptability threshold for usefulness of the model.” - Florian Douetteau, CEO at Dataiku

Related Content