The exciting and fast-evolving field of MLOps can help your data teams:
But what does “Good” MLOps look like, and how do you make it work for your business?
At Datatonic, we have helped multiple clients deploy successful MLOps to make their AI workloads faster, scalable, and more efficient.
Check out our guide, developed in partnership with Intel, by Data Scientists, Data Engineers, and Strategists to learn how.
For more technical information on optimizing your AI workflows with leading technologies from Google Cloud and Intel, click here for our 2-Page Brochure.
Know exactly where and how to start your AI journey with Datatonic’s
three-week AI Innovation Jumpstart *.
* Duration dependent on data complexity and use case chosen for POC model
With your own data sets, convince your business of the value of migrating your data warehouse, data lake and/or streaming platform to the cloud in four weeks.
With your own data, see how Looker can modernise your BI needs
with Datatonic’s two-week Showcase.
If you are a retail business and want to better understand your customers to provide them with personalised content and recommendations, get in touch to discuss a free trial to jumpstart your personalisation journey in four weeks.