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Companies of all sizes in just about every single industry are looking to see how AI, machine learning, and cognitive technology projects can provide a competitive edge, provide efficiencies, and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity in the field of AI for professionals who are CPMAI certified and follow the CPMAI methodology. This globally recognized certification, now officially a Project Management Institute (PMI) certification, helps you stand out from the pack when it comes to scoping, managing, and understanding AI and ML projects. In this episode of the AI Today podcast we interview Chris Mielke. He is a Project Manager at Exela Pharma Sciences and is also CPMAI certified and has his PMP.
What is CPMAI?
In today’s rapidly changing world, staying up to date on AI is critical. However, just reading the news about AI versus actually being able to apply AI best practices to projects are two different things. As a project manager running and managing AI projects, Chris needs to have a step by step framework to follow. With the recent buzz around GenAI this has now become more important than ever. CPMAI is providing the framework needed. Chris shares common problems he sees with managing data and AI projects. He also shares how he is applying CPMAI in the real world. He also provides advice for others as they run their data, analytics, and AI projects including lessons she has learned along the way.
Show Notes:
- CPMAI Training and Certification
- Applying CPMAI Methodology to AI Projects: Interview with Christina Kucek, CAI [AI Today Podcast]
- AI Today Podcast: Lessons Learned from AI Project Management: Interview with Jonelle Martinez
- AI Today Podcast: Lessons Learned from AI Project Management: Interview with Jeff Eason, Salt Lake County Health Department
- AI Today Podcast: Applying CPMAI in the Real World – Interview with Chuck LaBarre, ENI
- AI Today Podcast: Adopting AI Best Practices – Interview with Krystene Jennings, Centene
