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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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Sales Enablement: The Underrated Cog of Enterprise Commercial Engines

Sales Enablement: The Underrated Cog of Enterprise Commercial Engines

Sales enablement —the strategic use of people, processes, and technology to improve sales productivity and increase revenue — is the (usually) missing key for sales...

Data Quality Metrics to Know and Measure - DZone Big Data

Data Quality Metrics to Know and Measure - DZone Big Data

The most important characteristic for any organization is not data; it is quality data. In a study, IBM estimated that bad data costs the U.S. economy $3.1 trillion per year....

Supply Chains and the Digital Future

Supply Chains and the Digital Future

For supply chains today, two things are more important than ever: end-to-end visibility and agility. Digital technologies like data analytics play a pivotal role by providing...

Navigating Data Sovereignty for Enterprises | Teradata

Navigating Data Sovereignty for Enterprises | Teradata

It's fair to say that enterprises, governments, and private citizens alike have never been more aware of their data—in terms of volume, value, and ethical significance. This is...

GitHub - IBM/inFairness: PyTorch package to train and audit ML models for Individual Fairness

GitHub - IBM/inFairness: PyTorch package to train and audit ML models for Individual Fairness

PyTorch package to train and audit ML models for Individual Fairness Insights IBM/inFairness This commit does not belong to any branch on this repository, and may belong to a...

The Implications of Emotional AI in the Legal World

The Implications of Emotional AI in the Legal World

Artificial intelligence (AI) has been shaking in the tech world for a while now. People also progressively explore what more it can do. Emotional AI, also known as affective...

Unlocking AI Talent in Today’s Hybrid Working Environment

Unlocking AI Talent in Today’s Hybrid Working Environment

It was predicted by the World Economic Forum that at least 133 million new roles generated as a result of the new... It was predicted by the World Economic Forumthat at least...

Training Machine Learning Algorithms to Recognize Fraud Patterns

Training Machine Learning Algorithms to Recognize Fraud Patterns

Machine learning is increasing in usage across several industries, from manufacturing and engineering to retail and marketing. While ML has many applications, the average person...

Deep Learning Alone Isn’t Getting Us To Human-Like AI | NOEMA

Deep Learning Alone Isn’t Getting Us To Human-Like AI | NOEMA

Go Deep Learning Alone Isn’t Getting Us To Human-Like AI Artificial intelligence has mostly been focusing on a technique called deep learning. It might be time to...

The future is fake: The rise of synthetic data in training AI models

The future is fake: The rise of synthetic data in training AI models

Synthetic data provides a way to have unlimited amounts of perfectly labeled data at a fraction of the cost of manually labeled data. Collecting high-quality data from the real...

Meta’s AI Translation Model Breaks 200 Language Milestone

Meta’s AI Translation Model Breaks 200 Language Milestone

2 Facebook’s parent company Meta is pushing the boundaries of AI technology and breaking down language barriers like never before. Meta’s new... Facebook’s parent company Meta...

Designing a Multi-Language Database

Designing a Multi-Language Database

Today we look at three best-practice database designs to store data in multiple languages and easily scale to new markets. Reaching millions of users with an application is...