As the number of AI-powered projects in financial institutions reaches an all-time high and demand increases, an increasingly large proportion of projects are being blocked from progressing to production.
AI visionaries within these businesses have identified the fact that you can't simply apply software DevOps approaches to ML because ML is fundamentally more complex than software engineering.
DevOps for ML, or MLOps - the next paradigm shift in AI - is currently underway to make AI governance, management and collaboration as fast and safe as DevOps has made software engineering in the enterprise.
Dotscience provides a collaborative data and model development environment that accelerates AI project delivery and ensures that projects are not blocked from being deployed into production by insufficient process and tooling. By integrating data engineering, model development, deployment to production and statistical monitoring, Dotscience delivers seamless and fast progression of models into production and helps you keep them performing reliably.