AI & Data Best Practices The Cognitive Project Management for AI (CPMAI) methodology is the most widely adopted, vendor-neutral approach to running AI projects. Individuals and organizations are not just learning this approach, but also getting certified to run their AI projects successfully. So, what is the CPMAI certification and how can you put it …
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 & 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 …
The Critical AI and Data Skills you need as a Project Manager Read More »
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 …
AI & Data Best Practices After observing thousands of AI projects, Cognilytica has identified the top 10 reasons why AI projects fail and how you can learn from others to avoid becoming another AI failure statistic. Join Thousands of Others Who are Certified in AI Best-Practices Get CPMAI Certified Today! AI is everywhere it seems …
AI & Data Best Practices In this article, learn how to earn PDUs for PMP and other PMI Certifications with CPMAI training and certification. Join Thousands of Others Who are Certified in AI Best-Practices Get CPMAI Certified Today! The Cognitive Project Management for AI (CPMAI) Training and Certification offers many benefits. One of the benefits …
How can I earn PDUs for PMP and other PMI Certifications with CPMAI? Read More »
AI & Data Best Practices There is tremendous opportunity for people looking to manage AI & ML projects and there is a significant and growing demand for skilled AI project managers and implementers across the whole range of AI capabilities. So, you might be asking “how does a CPMAI certification enhance my career?” Read more …
How does a CPMAI certification enhance my career? Read More »
AI & Data Best Practices Organizations are looking for people with the right skills and knowledge to manage these projects. So, is the CPMAI Certification worth it? Absolutely! Join Thousands of Others Who are Certified in AI Best-Practices Get CPMAI Certified Today! Organizations across the world are looking to Artificial Intelligence (AI), Machine Learning (ML) …
Why are so many AI projects failing? Different analyst firms, consultancies, and integration firms cite over 70% of AI projects are failing to meet their objectives. Many of these projects are halted or otherwise terminated. But what are the reasons for these failures? Is the AI technology bad? Are the technologists inexperienced? Is there some …
Why is the ROI of AI out of alignment with reality? Read More »
Why are so many AI projects failing when they don’t need to be? Various sources are quoting AI project failure rates upwards of 70-80%. At Cognilytica, we have seen thousands of AI projects ourselves and the most of the reasons for these failures can be traced to 10 key reasons. One of those reasons is …
No, Agile and the “Scientific Method” are not Sufficient to Run AI Projects Read More »
[Part I of this article here] In our previous article, we explained our classification and categorization of the AI vendor landscape. With almost 3000 vendors to classify in ways that were useful this was no small feat. If you haven’t read that article yet, you should do so now before continuing, because this article builds …
Cognilytica’s Classification of the AI Vendor Ecosystem: Part II Read More »
Hello all! After a bit of a break, the Cognilytica Research newsletter is back! Based on your requests, we’re focusing this newsletter on what’s happening in the AI, ML, and Cognitive Technology markets, big research releases and announcements, insights into best practices and use cases, key news from the week, upcoming events, and other Cognilytica …
Classifying almost 3000 AI Vendors – Cognilytica Research Calendar Announced Read More »
[Read Part II of this article here] Cognilytica tracks almost 3000 companies that offer AI-specific or AI-enhanced products for sale in the market. Like most analyst firms, we call these companies “vendors” because they are offering products for sale verses the enterprise “end users” who are implementing them. However, as you can imagine, there’s a …
Cognilytica’s Classification of the AI Vendor Ecosystem: Part I Read More »
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.
If you’ve been following coverage of artificial intelligence (AI) in the news, you’ll see that industries and processes ranging from customer service, commerce, journalism and news, robotics, and even education are being impacted by the range of machine learning and AI technologies that can broadly be called cognitive technologies. These cognitive technologies change how businesses …
AI and Cognitive Technologies Continuing to Prove Their Strategic Value Read More »
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here In our many travels, conferences, speaking engagements, and other interactions with customers, technology vendors, press and others, we seem to often hear the same refrain: “Data is the new oil” as if that’s supposed to mean something …
[Image source: Pixabay] This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here When AI practitioners talk about taking their machine learning models and deploying them into real-world environments, they don’t call it deployment. Instead the term that’s used in the industry is “operationalizing”. This might be …
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 …
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 …
Crafting an AI-Relevant, Data-First, Agile Methodology for AI & ML Projects Read More »
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here The conversation around Artificial Intelligence usually revolves around technology-focused topics: machine learning, conversational interfaces, autonomous agents, and other aspects of data science, math, and implementation. However, the history and evolution of AI is also inextricably linked with …
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here In the conversation around the application and adoption of artificial intelligence (AI) and cognitive technologies, two recurring types of solutions usually come up: AI solutions meant to work in conjunction with people to help them accomplish their …
Assisted Intelligence vs. Augmented Intelligence Read More »
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here If you’ve been following coverage of artificial intelligence (AI) in the news, you’ll see that industries and processes ranging from banking, hospitality, food service, recruiting, and even back office operations are being impacted by the range of …
Further Evidence of AI’s Transformation of Different Industries Read More »
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here In the enterprise, no buzzword is as buzzy as the term “digital transformation”. If you spend any amount of time reading whitepapers, analyst research, or attending webinars you’ll see the term digital transformation used in conjunction with …
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here When people hear about the race for Artificial Intelligence (AI) dominance, they often think that the main competition is between the US and China. After all, the US and China have most of the largest and most …
The Race for AI Dominance is More Global Than you Think Read More »
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