A roundup of our top gen AI demo videos showing how to build and manage AI applications with open-source MLRun.
Data science has come a long way, and it has changed organizations across industries profoundly. Very reliable systems and automated algorithms are being developed to harness this data to deliver increased efficiency and value to humanity.
Data science needs to quickly adapt to the fast-paced changes happening all over the world. Currently, many businesses are in a tough spot, and having the right kinds of data and intelligence enables them to react quickly to the unprecedented changes brought about by the pandemic.
Here's what business leaders can do to reduce the costs of their AI projects and see positive business results sooner.
Using GPUaaS in this way simplifies and automates data science, boosting productivity and significantly reducing time to market.
Summary of my MLOps NYC talk, major AI/ML & Data challenges and how they will be solved with emerging open source technologies
2020 will be about simplifying the way from data science to production, with an emphasis on bringing real – and scalable - business value.
