Many organizations take a siloed approach when it comes to model development and deployment. But this makes model development slow and unstable. By adopting a production-first mindset and implementing CI/CD, development and deployment can be streamlined and significantly increase the number of AI projects that make it to production.
In this whitepaper, we explain how to adopt such a mindset and how to execute on it with an open source solution, MLRun. We will review:
The Iguazio Data Science Platform enables enterprises to develop, deploy and manage AI applications at scale. With Iguazio, enterprises can run AI models in real time, deploy them anywhere (multi-cloud, VPC or on-prem), and bring to life their most ambitious data-driven strategies. Iguazio is backed by top strategic investors such as Bosch, Verizon Ventures, Samsung, CME, Group and Dell, and is partnered with dozens of technology companies including Azure, AWS, Google, NVIDIA and NetApp.