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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As organizations look to advance their analytics and applications strategies and capture and analyze more diverse data types, they are often moving to cloud platforms to help....
10/12/2024
The rise in remote work and efforts to democratize data science are driving organizations to consider a collaborative analytics model that improves cooperation during the...
10/11/2024
Without buy-in from your company’s rank and file, even the cleverest AI-derived model will sit idle and “data-driven decision-making” will just go around in circles. Companies...
10/10/2024
The DASYA (DAta-intensive SYstems and Applications) group at the Computer Science Department of the IT University of Copenhagen invites motivated individuals to apply for a...
10/09/2024
The supply chain industry, which until recently operated sufficiently by using disparate spreadsheets, phone calls and even paper-based records, was exposed during the pandemic...
10/08/2024
data science, including analytics, big data, and artificial intelligence, is no longer a novel concept. Nor is the important foundation of high-quality data. Both have...
10/07/2024
What makes a company “future ready”? The author analyzed top companies by revenue across four sectors, measuring seven equally weighted factors, then analyzed what leading...
10/06/2024
Type 1 diabetes (T1D) is an autoimmune disease that can strike both children and adults. It can leave those afflicted with difficult, life-long disease management issues and...
10/04/2024
In this special guest feature, Ludovic Larzul, Founder and CEO, Mipsology, describes how in the future, AI will be everywhere. And though some computation will continue to take...
10/03/2024
Distributed applications are not new. The first distributed applications were developed over 50 years ago with the arrival of computer networks, such as ARPANET. Since then,...
10/01/2024
Predictive modeling (or machine learning) can be challenging to understand and use because there is no one algorithm that would work... Predictive modeling (or machine...
09/30/2024
To deal with unprecedented levels of business complexity and uncertainty, organizations must make accurate and highly contextualized decisions with increasing speed. This means...
09/29/2024