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Practical Insight and Guides for Implementers & Leaders

In-depth guides, how-tos, case studies, explainers, checklists, interviews, technology overviews, promotions, and much more, all designed to help you be successful with AI, automation, and data

Articles

8 ways to implement ethical AI in your AI tools

Creating ethical AI requires a combination of technical expertise and a strong understanding of the potential ethical issues that may arise. By taking proper steps…
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Articles

10 considerations for ML tool Selection

Machine learning has the potential to unlock insights, automate processes, and drive revenue growth. However, with so many different machine learning tools available, it can…
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Articles

10 Data Preparation Issues that can sideline AI Projects

Data preparation is one of the most important steps in any artificial intelligence (AI) project. Unfortunately, it’s also one of the most overlooked. Many organizations…
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Articles

Avoiding the Top 10 Mistakes when Choosing Natural Language Processing solutions

Picking a natural language processing (NLP) solution for your business or project can be a daunting task, especially if you’re not familiar with the technology….
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Articles

Top things to consider when implementing Advanced Analytics at your organization

If you’ve worked at an organization for any length of time, or read any of our posts, or listened to any of our AI Today…
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Articles

10 things to consider when selecting Robotic Process Automation (RPA) Solutions

Robotic Process Automation (RPA) has become an increasingly popular way for businesses to automate repetitive and time-consuming tasks, allowing employees to focus on more valuable…
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Articles

10 Ethical AI Issues that can sideline AI Projects

In today’s fast-paced digital landscape, it’s no secret that artificial intelligence (AI) is rapidly becoming a crucial component for many businesses and industries. However, as…
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Articles

Data preparation Checklist: What to consider before starting your AI or ML Project

In order for your AI and ML projects to work, the data needs to be prepared in a way that is useful. After all, garbage…
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Articles

11 examples of ML applications across different industries

Machine learning (ML) is a powerful tool that is being used to revolutionize a wide range of industries. For businesses, the ability to apply machine…
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Articles

10 common mistakes people make with ML projects and how to avoid them

Machine learning (ML) projects can be complex and time-consuming, and it’s easy to make mistakes along the way. In this article, we’ll go over 10…
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Successful AI

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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AI & Data Best Practices

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…
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AI Market Research

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…
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AI Market Research

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…
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AI Market Research

Infographic: The Steps for an AI Project

How do you plan an AI project?
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Downloadable

A Step-by-Step Approach to Running AI and Machine Learning Projects

What are the steps in an AI project?
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AI & Data Best Practices

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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Newsletter

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…
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AI & Data Best Practices

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…
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AI Market Research

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…
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AI & Data Best Practices

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…
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Newsletter

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…
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Newsletter

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…
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