Limitless potential curbed by poor project practices. That is in essence the state of data science (DS) and artificial intelligence (AI) projects across the world.
Organizations are increasing their investments in DS and AI projects, with the expectation that these projects will produce transformative business benefits. However, in spite of increased maturity of these technologies, the outcomes of DS/AI projects fall far short of expectations.
What is preventing these projects from achieving success?
PMI India collaborated with NASSCOM Center of Excellence – DS & AI to unearth the key factors behind project failure and recommend best practices based on real-world insights. The Playbook for Project Management in Data Science and Artificial Intelligence Projects presents a framework that recommends resources that organizations can use to build capability and a best practices toolkit for different stages of a DS/AI project.
AI projects are significantly cost and time-intensive, and traditional project management frameworks may not be capable of negotiating the complexities of the workflow. Additionally, we need to explore if a uniform framework can guide the development of DS and AI solutions across organizations and use cases.
CEO-Center of Excellence, Data Science & AI, NASSCOM
AI projects are seen as unique and a cut above “regular” business projects. This study is an attempt to peer behind the veil of romantic mysticism often associated with AI projects to see how they really work, and what makes them tick.
Managing Director, PMI South Asia
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