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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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Open source is a hard requirement for reproducibility | R-bloggers

Open source is a hard requirement for reproducibility | R-bloggers

Open source is a hard requirement for reproducibility. No ifs nor buts. And I’m not only talking about the code you typed for your research paper/report/analysis. I’m talking...

Machine learning: 4 adoption challenges and how to beat them

Machine learning: 4 adoption challenges and how to beat them

In the first quarter of 2022, global funding to artificial intelligence (AI) startups reached $15.1 billion, according to CB Insights’ State of AI report. However, machine...

Mind the Gap Between Data and Analytics

Mind the Gap Between Data and Analytics

If you’ve ever been to London, you are probably familiar with the announcements on the London Underground to “mind the gap” between the trains and the platform. I suggest we...

Databricks Lakehouse Platform Maximizes Analytical Value

Databricks Lakehouse Platform Maximizes Analytical Value

I have previously written about growing interest in the data lakehouse as one of the design patterns for delivering hydroanalytics analysis of data in a data lake. Many...

Seven ways predictive analytics can improve healthcare | 7wData

Seven ways predictive analytics can improve healthcare | 7wData

Everyone is a patient at some time or another, and we all want good medical care. We assume that doctors are all medical experts and that there is good research behind all...

can causal emergence reframe the problem?

can causal emergence reframe the problem?

In 1996, I was on a “guru panel” at the first TDWI (Data Warehousing Institute) in Washington, DC. Also on the panel were Bill Inmon and Herb Edelstein. In the audience Q&A...

Pathways to Increasing Trust in Public Health Data

Pathways to Increasing Trust in Public Health Data

Digital tools make it easier to collect data about patients and the care they receive, and health workers can use these data to improve the coverage, speed, and quality of...

AI Reveals New Possibilities in Matrix Multiplication | Quanta Magazine

AI Reveals New Possibilities in Matrix Multiplication | Quanta Magazine

Mathematicians love a good puzzle. Even something as abstract as multiplying matrices (two-dimensional tables of numbers) can feel like a game when you try to find the most...

Lawsuit Takes Aim at the Way A.I. Is Built

Lawsuit Takes Aim at the Way A.I. Is Built

Continue reading the main story Lawsuit Takes Aim at the Way A.I. Is Built A programmer is suing Microsoft, GitHub and OpenAI over artificial intelligence technology that...

Real World Data Science - Why large language models should come with a content warning

Real World Data Science - Why large language models should come with a content warning

Real World Data Science News and views Why large language models should come with a content warning The outputs of LLMs seem impressive, but users need to be wary of possible...

Meeting the stars of the R-universe: R Community, Exchange and Learn | R-bloggers

Meeting the stars of the R-universe: R Community, Exchange and Learn | R-bloggers

Meeting the stars of the R-universe: R Community, Exchange and Learn Posted on November 22, 2022 by rOpenSci - open tools for open science in R bloggers | 0 Comments [This...

Five ways IBM is using synthetic data to improve AI models | IBM Research Blog

Five ways IBM is using synthetic data to improve AI models | IBM Research Blog

Synthetic data are computer-generated examples that can augment or replace real data to speed up the training of AI models, protect sensitive data, improve accuracy, or find and...