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Applying CPMAI Methodology to AI Projects: Interview with Chris Mielke [AI Today Podcast]

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 […]

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Applying CPMAI Methodology to AI Projects: Interview with Laetitia Callegari [AI Today Podcast]

Companies of all sizes across the globe in just about every single industry are looking to see how AI can provide them a competitive edge. They want AI to provide efficiencies and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity in the field of AI for project professionals who are

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Growing Key AI and Data Skills with CPMAI: Interview with Selvie Thevathasan [AI Today Podcast]

In an era where Artificial Intelligence is revolutionizing various industries, professionals equipped with the right skills and certifications are in high demand. The Certified Project Management for AI (CPMAI) certification is a game-changer for those seeking to excel in planning, managing, and executing AI and ML projects. And for those looking to grow critical AI

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Applying CPMAI Methodology to AI Projects: Interview with Christina Kucek, CAI [AI Today Podcast]

Companies of all sizes in just about every single industry across the globe are looking to see how Artificial Intelligence (AI), machine learning (ML), 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

Applying CPMAI Methodology to AI Projects: Interview with Christina Kucek, CAI [AI Today Podcast] Read More »

Quality Assurance (QA) in the Context of AI

AI operationalization is different than traditional deployment and putting things into “production”. But if it’s different for deployment and different in development, then it follows that AI projects are unlike traditional projects even with regards to QA. Simply put, you don’t QA AI projects like you QA other projects. This is because the concept of what we’re testing, how we test, and when we test is radically different in AI Projects.

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Crafting an AI-Relevant, Data-First, Agile Methodology for AI & ML Projects

This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here One of the core modules in our Cognilytica AI & ML training & certification is focused on project management methodologies and approaches that are AI-relevant. Companies of all sizes are implementing AI, ML, and cognitive technology projects

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