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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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Snapchat stars say its new mid-roll ads could lead to a content boom as creators see money-making potential

Snapchat stars say its new mid-roll ads could lead to a content boom as creators see money-making potential

Snapchat's decision to introduce mid-roll ads in Stories could spur a content boom, several influencer-marketing executives and Snapchat creators told Insider.  The ephemeral...

There simply aren't enough people to keep an enterprise competitive in the 2020s

There simply aren't enough people to keep an enterprise competitive in the 2020s

If a sales or other line-of-business executive in your enterprise isn't talking about artificial intelligence these days, it's time to ask why -- and get them on board. We're...

How AI And Data Analytics Drive Value In The Finance Function | 7wData

How AI And Data Analytics Drive Value In The Finance Function | 7wData

The era of AI and “Big Data” offers immense opportunity for finance teams to automate routine tasks, allowing professionals to focus on higher-value activities. In a recent...

Yale Cyber Leadership Forum opens with discussion on “Big Data, Data Privacy, and AI Governance”

Yale Cyber Leadership Forum opens with discussion on “Big Data, Data Privacy, and AI Governance”

This year’s Cyber Leadership Forum, hosted both virtually and in person, had its first of three sessions on Friday. The Yale Cyber Leadership Forum opened last Friday with its...

Introduction to 'TensorLayer': A Python-based Versatile Deep Learning Library Designed for Machine Learning Researchers

Introduction to 'TensorLayer': A Python-based Versatile Deep Learning Library Designed for Machine Learning Researchers

It takes a long time and a lot of effort to build a working deep learning system. Building advanced neural networks, coordinating several network models, data processing,...

How You Can Use Machine Learning to Automatically Label Data - KDnuggets

How You Can Use Machine Learning to Automatically Label Data - KDnuggets

AI and machine learning can provide us with these tools. This guide will explore how we can use machine learning to label data. By 2025, the volume of global data created,...

lessons learned from participating in data visualization challenges — storytelling with data

lessons learned from participating in data visualization challenges — storytelling with data

Cole provided direct feedback on Simon's first SWD challenge entry.   Thus inspired, I began to participate more frequently: in fact, I responded to the SWD challenge in 31...

How Much Does a Tableau Consultant Cost?

How Much Does a Tableau Consultant Cost?

How Much Does a Tableau Consultant Cost? Luke Stanke February 17, 2022 There’s a common joke amongst consultants that they rarely give straightforward answers. Their answers are...

9 Essential Mapping Tools for Journalists in 2022

9 Essential Mapping Tools for Journalists in 2022

GIJN Subscribe to Resources BuzzFeed created visual maps revealing China’s vast detention center network in Xinjiang province, as part of its Pulitzer Prize-winning...

Modernizing and Streamlining Enterprise Supply Chains

Modernizing and Streamlining Enterprise Supply Chains

With havoc at ports and terminals showing no signs of imminent improvement, it’s likely that the supply chain disruptions that have plagued businesses nationwide won’t be...

Quantum news: D-Wave goes public via a blank check company while Q-CTRL wins an SBIR grant

Quantum news: D-Wave goes public via a blank check company while Q-CTRL wins an SBIR grant

Quantum news: D-Wave goes public via a blank check company while Q-CTRL wins an SBIR grant Your email has been sent Quantum computing companies brought in new funding this...

5 Ways to Apply AI to Small Data Sets | 7wData

5 Ways to Apply AI to Small Data Sets | 7wData

It is better to use AI algorithms on small data sets for results free of human errors and false results when applied correctly. Here are some methods to apply AI to small data...