  One of the ways for organizations to continuously get better at executing
projects is to learn from their past experience. In large organizations, the
different accounts and business units often work in silos and tapping the rich
knowledge base across the organization is easier said than done. With easy
access to the collective experience spread across the organization, project
teams and business leaders can proactively anticipate and manage risks in new
engagements. Early discovery and timely management of risks is key to success
in the complex engagements of today. In this paper, the authors describe a
Machine Learning based solution deployed with MLOps principles to solve this
problem in an efficient manner.
