What is the Certified Professional in AI Project Management (CPMAI) Certification?
Just because over 80% of AI projects fail doesn’t mean yours should.
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Established Best Practices for AI & Data Project Management
Taking the Data-Centric Approach to AI What is Data Project Management? AI projects, brimming with potential, often face a high failure rate despite abundant talent and resources. Fortunately, we have a solid approach we can tackle for AI project, which at their core are data projects. Data project management is at its core managing projects
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The Critical AI and Data Skills you need as a Project Manager
AI Project Management: Essential Skills for Success What Skills Do You Need for an AI Project Manager? In the dynamic world of AI project management, a blend of specific skills sets you apart. As AI and data projects continue to evolve, the demand for skilled AI project managers is skyrocketing. Whether you’re starting or enhancing
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The Five Steps for an AI Project: What you’re missing
Embarking on the AI Project Journey: Beyond the Basics In the rapidly evolving realm of artificial intelligence (AI), managing projects effectively is not just a skill—it’s an art form. Navigating through the complexities of AI requires more than just technical know-how; it demands a strategic approach to project management. This journey sometimes begins with a
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How to apply CRISP-DM to AI and big data projects
Applying CRISP-DM and CPMAI to AI and Big Data Projects In our digital age, where data is as vast as the ocean, every business, big or small, is trying to ride the wave of artificial intelligence (AI) and big data. These big tech movements, AI & big data, are not just buzzwords; they’re revolutionizing how
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Does Agile Work for Machine Learning?
Up to 80% of AI projects are failing, even in tech-forward firms that have implemented Agile in its most advanced and deepest forms. So, does Agile work for Machine learning?
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Why Can’t I use Agile or CRISP-DM to manage AI and Data Projects?
In the fast-paced world of AI and data projects, choosing the right project management method is like picking the right tool for a space mission – it can make or break the journey.
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The ROI of a CPMAI Certification
CPMAI Certification: A Strategic Investment in Your Future
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Top 10 Reasons Why AI Projects Fail
Why do so many AI projects crash and burn?
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How can I earn PDUs for PMP and other PMI Certifications with CPMAI?
Earn PDUs for PMP and other PMI Certifications with CPMAI training and certification.
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How does a CPMAI certification enhance my career?
CPMAI certification is your key to mastering AI project management
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Is the CPMAI Certification worth it?
Is the CPMAI Certification Worth it? We might be slightly biased, but the answer is absolutely, resoundingly YES! What is CPMAI? A Game-Changer in AI Management The Cognitive Project Management for AI (CPMAI) methodology certification is a vendor-neutral, data-centric, AI-specific, iterative methodology for running and managing AI, ML, and cognitive technology projects. The CPMAI methodology
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Cognitive Project Management for AI – CPMAI At a Glance [Infographic]
AI & Data Best Practices The Cognitive Project Management for AI (CPMAI) methodology provides a step by step approach to AI project management that has seen significant success in enterprise, government, academic, consulting, and technology vendor implementations. This infographic provides an overview of CPMAI at a glance, but read below for more details. What
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The Steps for a Machine Learning Project
Simplifying ML Project Management for Maximum Success Are you in charge of a machine learning project and don’t know where to start? Or maybe you know some of the technology for making machine learning work, but don’t know the steps you should follow to optimize your chances of success. Leading a Machine Learning (ML) project
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Infographic: The Steps for an AI Project
How do you plan an AI project?
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A Step-by-Step Approach to Running AI and Machine Learning Projects
What are the steps in an AI project?
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What is the Cognitive Project Management for AI (CPMAI) Methodology?
Vendor-neutral, data-centric, AI-specific, Iterative methodology for running and managing AI, ML, and cognitive technology projects
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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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To Be AI-First you Need to be Data-First
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here One of the core things we focus on in our Cognilytica AI & Machine Learning training and certification is that machine learning projects are not application development projects. Much of the value of machine learning projects rest
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20 AI-Focused Podcasts to Listen To
Cognitive technologies are advancing at a rapid pace and it’s hard to always keep up to date on everything. That’s why Cognilytica has compiled a list of 20 AI-focused podcasts to help keep you up to date on everything going on related to AI, ML, and cognitive technologies. We’ve listed our 20 favorite podcasts below
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Do Companies Need a Chief AI Officer (CAIO)?
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here The short answer to the above question is “no”. But let’s get into the specifics. Clearly for many companies, Artificial Intelligence (AI) and the range of Cognitive Technologies are strategic to their businesses and organizations. Indeed, for
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The Difference Between a Data Scientist and Data Engineer and Why You Should Care
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here (This post is based on Jesse Anderson’s work on data teams). As Artificial Intelligence (AI) continues to become a focus for an increasing number of enterprises, these organizations are realizing how important it is to have the
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AI is Not a Job Killer — it’s a Job Category Killer
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here: AI brings mixed emotions and opinions when referenced in the context of jobs. Here’s something fun you can do at your next business or technology networking event; ask the question “Do you think Artificial Intelligence will be
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