What is the Certified Professional in AI Project Management (CPMAI) Certification?
Just because over 80% of AI projects fail doesn’t mean yours should.
Just because over 80% of AI projects fail doesn’t mean yours should.
AI & Data Best Practices With all the talent, resources, and effort being put into AI projects, the failure rate should not be so significantly high. Indeed, there’s substantial good technology and talent that knows how to put technology to use for AI applications. The problem stems from the lack of following best practices for …
Established Best Practices for AI & Data Project Management Read More »
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 …
The Critical AI and Data Skills you need as a Project Manager Read More »
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 …
The Five Steps for an AI Project: What you’re missing Read More »
AI & Data Best Practices There is significant and growing demand for skilled AI project managers and implementers across the whole range of AI capabilities. If you’re looking to get into managing AI projects, machine learning implementations, or advanced data projects of any type, or enhance your current skills, what are the most critical AI …
How to apply CRISP-DM to AI and big data projects Read More »
AI & Data Best Practices Agile is failing hard when it comes to AI. 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? And if not why not and what are the alternatives? Join …
Join Thousands of Others Who are Certified in AI Best-Practices Get CPMAI Certified Today! Millions of people around the globe at organizations and vendors of all sizes certified on leading project management methodologies and approaches such as PMP, PRINCE2, Agile, ScaledAgile (SAFe), and CRISP-DM. Likewise, organizations are rushing to implement and adopt AI. Existing data-centric …
Why Can’t I use Agile or CRISP-DM to manage AI and Data Projects? Read More »
AI & Data Best Practices When evaluating if Cognilytica’s Cognitive Project Management for AI (CPMAI) certification is right for you it’s important to ask “What’s the return for me on this investment?” Afterall, you’re investing your time and money so you want to make sure that the return is worth it. Fortunately, the ROI of …
Earn PDUs for PMP and other PMI Certifications with CPMAI training and certification.
CPMAI certification is your key to mastering AI project management
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 …
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 …
Cognitive Project Management for AI – CPMAI At a Glance [Infographic] Read More »
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 …
What are the steps in an AI project?
Vendor-neutral, data-centric, AI-specific, Iterative methodology for running and managing AI, ML, and cognitive technology projects
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.
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 …
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 …
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 …
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 …
The Difference Between a Data Scientist and Data Engineer and Why You Should Care Read More »
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 …
AI is Not a Job Killer — it’s a Job Category Killer Read More »