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G.R. Jenkin & Associates

Garry Jenkin moved to Dallas, Texas in 1985 and began a new career in consulting for technology companies. When Garry isn't working, he's honing his skills in graphic design, photography, Yoga and is sometimes dreaming about his  next motorcycle.

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Data from digital marketing teams plays a crucial role in driving the bottom line for business

Data from digital marketing teams plays a crucial role in driving the bottom line for business

Data from digital marketing teams plays a crucial role in driving the bottom line for business September 12, 2022 Login to rate this article 0 International Chief Marketing...

The Data Scientific Method vs. The Scientific Method

The Data Scientific Method vs. The Scientific Method

Editor’s note: Patrick Hall is a speaker forODSC East 2022this April 19th-21st. Be sure to check out his talk, “A Tutorial on Machine Learning Model Governance,” there! Data...

Why First-Party Data is The Future of Digital Marketing

Why First-Party Data is The Future of Digital Marketing

It seems that the era of third-party cookies is becoming a thing of the past.  Major browsers such as Firefox and Safari had already started to block third-party cookies on...

Aiming for truth, fairness, and equity in your company’s use of AI

Aiming for truth, fairness, and equity in your company’s use of AI

Advances in artificial intelligence (AI) technology promise to revolutionize our approach to medicine, finance, business operations, media, and more. But research has...

3 Ways Consumer Insights Improve Brand Reputation

3 Ways Consumer Insights Improve Brand Reputation

Just like how no news can be seen as good news, consumers are more likely to share their bad experiences than good ones. Customer experiences are more important than ever as it...

9 Mistakes Data Scientists Must Avoid | 7wData

9 Mistakes Data Scientists Must Avoid | 7wData

In data science, like many other fields, you learn more by doing than by reading or merely studying the theoretical aspects of the field. Early in your data science career,...

Optimizing Your AI/ML Efforts with Localization

Optimizing Your AI/ML Efforts with Localization

There’s an old saying that applies well to artificial intelligence and the data that powers it: “Garbage in, garbage out.” Gartner found that only 47% of ML/AI models go from...

AI vs Machine Learning. What's the difference?

AI vs Machine Learning. What's the difference?

Published: 21/02/2022 AI vs Machine Learning. What's the difference? WWhen it comes to the world of technology, there are a lot of buzzwords that get thrown around. Two of these...

How to make sense of the I in AI? - Book introduction

How to make sense of the I in AI? - Book introduction

Contributions on capabilities and projected capabilities of Artificial Intelligence (AI) by researchers and other experts, many of them from non-engineers, trained outside the...

When it comes to AI, can we ditch the datasets?

When it comes to AI, can we ditch the datasets?

Huge amounts of data are needed to train machine-learning models to perform image classification tasks, such as identifying damage in satellite photos following a natural...

Artificial Intelligence and the Future of War

Artificial Intelligence and the Future of War

Consider an alternative history for the war in Ukraine. Intrepid Ukrainian Army units mount an effort to pick off Russian supply convoys. But rather than rely on sporadic air...

How AI Adoption Should Be Balanced with Ethics and Fairness - Dalith Steiger - Aaron Back interview

How AI Adoption Should Be Balanced with Ethics and Fairness - Dalith Steiger - Aaron Back interview

Copyright:  www.back-at-it.simplecast.com/ – “How AI Adoption Should Be Balanced with Ethics and Fairness” In this episode, Aaron Back is joined by Dalith Steiger, our...