With only about 35% of machine learning models making into production in the enterprise (IDC), it’s no wonder that production machine learning has become one of the most important focus areas for data scientists and ML engineers alike. As you may remember, we recently announced a full set of MLOps capabilities in Cloudera Machine Learning, our cloud native machine learning tool for the cloud.
If your company has already started getting into machine learning / deep learning, you will quickly relate to the following story. If your company is taking its first steps into data-science, here is what is about to be dropped on you. If none of the above strikes a chord, well it’s probably good to know what’s out there because data-science is all the rage now, and it won’t be long until it gets you too 🙂
In the last blog with Deloitte’s Marc Beierschoder, we talked about what the hybrid cloud is, why it can benefit a business and what the key blockers often are in implementation. You can read it here.
Recently, we created the Sauce Labs Open Program Office to focus our attention internally on how we support and contribute to the open source community. Last week, we proudly launched a new web site with comprehensive information about the office, including best practices, contribution guidelines for the Sauce team, and a new blog where Diego Molina and Christian Bromann will write regularly about all things open source. This article is cross-posted from the new blog.
After a self-isolated and event-free spring, some of us around the world welcomed a more promising summer. You might be taking some time away on a socially distanced holiday. You might be taking some time away from the day-to-day at home. But if a cold beer in the sun isn't enough to make up for these difficult months, the premier event for the Streaming Data Community is back! Kafka Summit has gone virtual this year and that means you can attend the event from anywhere.
