ai executive guides Articles and Reports

Artificial intelligence “executive guide” reports are designed to help business leaders understand critical information about applying artificial intelligence applications successfully. Search our full set of executive guide reports below:

A Pathway to Career Acceleration

A Pathway to Career Acceleration – Getting Started with AI

In this article, I showcase 6 examples of nontechnical professionals who used their business and subject-matter expertise (not their coding ability) to have more exciting careers in AI, and I respond directly a number of questions and comments from Emerj subscribers about AI knowledge for career advancement

Finding AI Trends

3 Ways to Discover AI Trends in Any Sector

Business leaders, managers, and consultants with an eye on AI aren’t just trying to learn what AI can do, they’re trying to discover ways to gain an AI advantage.

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AI Frameworks for Success – Bring Value to Any AI Initiative as a Non-Technical Professional

This is the second article in our "AI for Career Acceleration" series - be sure to read the first installment (and watch the video on that page).

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The AI Career Gap – AI Knowledge as a Career Accelerator

Last month we ran a podcast series on the AI in Industry podcast on the theme of “Advancing Your Career in the Era of AI”, with a focus on how non-technical professionals can become more valuable in the market, and can become involved in AI projects and initiatives, without ever learning to code.
I received twice as much feedback on this series as any other series we’ve ever run on the podcast - which surprised me.
It surprised me because I think about everything on Emerj.com as being useful for nontechnical professionals. We’ve built our editorial calendar and our products around the needs of nontechnical professionals who want to make the most of their careers, but this recent series spoke to that topic directly.
But hitting directly on the theme of “Advancing Your Career in the Era of AI” clearly hit a cord.
For that reason, I’ve decided to release a three-part video and article series on that same topic, breaking down the lessons that were most important for me - and sharing a bit of my own story going from small-town martial arts instructor to international AI speaker and strategist.
Here's a short video from me about this three-part series before you read the article below:

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Predicting the ROI of AI – Pitfalls to AI Adoption in the Enterprise (Part 3 of 3)

In the final installment of the "Pitfalls to AI Adoption" series, we talk about predicting the ROI of AI. There are a lot of misconceptions running rampant around the ability to gauge the return on investment of artificial intelligence. In this article, we talk about what can and can't be done when it comes to investing in artificial intelligence and predicting what the return might be.

AI Integration Challenges - Pitfalls to AI Adoption

AI Integration Challenges – Pitfalls to AI Adoption in the Enterprise (Part 2 of 3)

In this second installment of the "Pitfalls to AI Adoption in the Enterprise" series, we're going to talk about underestimating the integration needs of artificial intelligence and machine learning.

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Avoid AI Novelty – Pitfalls to AI Adoption in the Enterprise (Part 1 of 3)

What's harder than training an algorithm to detect images or automate a process? Collecting and cleaning the data in the first place.

Artificial Intelligence in Corporate Banking - Current Applications

How to Discover the AI Initiatives of Fortune 500 Companies

There is always a fascination with what the biggest and most powerful companies in any given sector are doing. If you look in the world of eCommerce, everybody is ultimately referencing Amazon. In the world of banking, firms like JP Morgan are referred to and everyone's interested in their newest hires in terms of the C-suite and their newest innovations in terms of technology. Analyzing bigger firms seems to have a level-setting effect.