According to a report by the International Institute for Analytics, 85 percent of AI projects ultimately fail. These failures are due, in part, to insufficient tooling and ad-hoc machine learning development processes. But in order to realize AI's full potential, organizations need to have the right resources in place to address the challenges of end-to-end development.
See how applying DevOps principles to machine learning development can help remove the roadblocks to your AI projects. |