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Solutions for Organizations

Be Successful with AI Best Practices

Whether you’re just starting out on your AI journey or you’re running multiple AI projects,
Cognilytica’s AI advisory solutions helps your organization succeed at the rapid pace of change.

IMPROVE AI PROJECT SUCCESS WITH BEST PRACTICES

Cognilytica partners with you to accelerate your knowledge, adoption, and application of AI best practices, frameworks, and methodologies for achieving AI project outcomes that move your organization forward.

BUILD YOUR AI COMPETITIVE EDGE

Cognilytica’s advisory service keeps you up to date on the latest AI tools, trends, and emerging laws and regulations. Quickly gain important AI insights to build your competitive edge with AI.

AI ADVISORY & GUIDANCE THAT KEEPS YOU RELEVANT

Cognilytica advisory provides constant insights and updates on the latest AI trends, worldwide laws and regulations around AI and data, and best practices to keep you relevant.

Some of the Organizations that Trust Cognilytica

Cognilytica advisory provides me the insight and guidance I need to make confident decisions on implementing AI for my organization and my clients

Cognilytica Advisory Solutions

Advisory & Insights

Cognilytica provides your organization the AI insights and advisory needed to maximize the value of AI and stay ahead in the AI landscape. Through constantly updated reports, content, and advisory calls, you get the knowledge needed to be AI competitive. Ultimately, we’ll empower you with the skills and best practices to make AI successful for your organization.

Best Practices Workshops

Cognilytica’s workshops are designed to accelerate your team’s understanding and adoption of AI best practices for the roles critical to implementing and managing AI in a complex, corporate environment. Whether you’re looking for guidance on best practices, help with implementing Trustworthy AI, or knowledge on how to comply with the ever changing data and AI laws and regulations, Cognilytica brings our best thought leaders to your organization.

Trustworthy AI Framework Development

Organizations serious about AI must implement a Trustworthy AI framework to keep customers safe, their organization out of trouble, and guide AI project development that complies with emerging laws and regulations. Cognilytica will develop with your team a tailored Trustworthy AI Framework for your organization built on the most comprehensive best practices complying with the latest emerging regulations.

Additional Offerings

Trustworthy AI Framework Training & Certification for Teams

CPMAI AI & ML Project Management Framework Training & Certification for Teams

Our Latest Research & Insights

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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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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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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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