Far too often, agencies, organizations, and consulting firms are running data and AI projects without taking the right steps to ensure their success. Agile and iterative approaches have become adopted best practices for application development projects, but why don’t we have something similar when it comes to advanced analytics, big data, and AI projects? Without using best-practices approaches that standardize steps for data preparation, data identification, and data protection, it’s hard to achieve the success you’re expecting, wasting money and resources, leading to failure.
In this podcast hosts Kathleen Walch and Ron Schmelzer walk through the Cognitive Project Management for AI (CPMAI) methodology to provide listeners with the foundation needed for project success, especially as you incorporate advanced analytics and AI projects. The CPMAI methodology is the established best practice for AI & ML projects, and increasingly will be demanded by organizations and agencies that plan to develop, procure, and deliver AI and advanced analytics projects. If you’re an individual looking to advance your knowledge and skill set for running and managing AI projects this podcast provides real world examples of how CPMAI methodology allows team leaders and individuals at organizations to get up to speed on terminology and make sure all are all in alignment to be more successful and competitive in their AI and big data project efforts.
To dig deeper into the CPMAI Methodology and learn more about the certification, make sure to also register for our upcoming webinar at aitoday.live/cpmai
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