Tag Archives: artificial intelligence

AI on the Edge: What it is, and Data Storage Challenges it Poses

AI on the edge refers to doing the AI processing and equations at the site of the object collecting the data.

“AI on the edge” was a new term for me that I learned from Marc Staimer, founder of Dragon Slayer Consulting, who was interviewed in a podcast. Marc explained how AI on the edge poses a data storage problem, and my blog post proposes a solution!

US Public Health Alphabet Soup Explained: What is the ONC?

Before the ONC office was established in 2009, there was no federal oversight of medical record systems.

“What is the ONC?” is what I used to ask before I realized it involves health technology. Although ONC just means “Office of the National Coordinator”, this agency is now known as HealthIT.gov, as I explain in my blog post.

US Public Health Alphabet Soup Explained: What is the BPHC?

The Bureau of Primary Healthcare is a United States federal agency that ensures safety net services to poor individuals

The United States (US) Bureau of Primary Healthcare (BPHC) is the federal agency that funds our safety net infrastructure serving patients who can’t get on Medicare or Medicaid. I explain how all that works, and the relationship of BPHC to the rest of the public health infrastructure.

“Bad Blood” is a Lesson in How Bad Leadership Leads to Bad Data: Part 4 of 5

If you work in a chaotic environment, you will notice that there is a lack of leadership, and people do not have management skills.

As a data science leader, what should you put in place so your organization doesn’t end up a data mess like startup Theranos? This blog posts provides guidance.

This Course in Explainable AI will Get you Ready for the Future!

What do the data say when a machine learning algorithm is applied, and which features are important?

We experience artificial intelligence all the time on the internet in terms of friend suggestions on social media, internet ads that reflect what we have been searching for, and “smart” recommendations from online stores. But the reality is that even the people who build those formulas cannot usually explain why you were shown a certain […]

Two Takeaways from Danny Ma’s Machine Learning Panel: Understanding the Problem, and Understanding your Data

Roller coaster like an ETL pipeline that does automation

This lively panel discussed many topics around designing and implementing machine learning pipelines. Two main issues were identified. The first is that you really have to take some time to do exploratory research and define the problem. The second is that you need to also understand the business rules and context behind the data.

Sort Order, Formats, and Operators: A Tour of The SAS Documentation Page

SAS software sorting a to z or using arithmetic operators

Get to know three of my favorite SAS documentation pages: the one with sort order, the one that lists all the SAS formats, and the one that explains all the SAS operators and expressions!

If You Want to Increase Conversions, Try my A/B Testing Course on LinkedIn Learning

Learn about data science from doing real world projects online or in a laboratory

A/B testing seems straightforward, but there are a lot of picky details. What A and B conditions do you actually test? How long do you run the test? How do you calculate the statistics for the test? Answer your questions by taking this LinkedIn Learning course.

Review of Snowflake “Data for Breakfast” – Boston, March 4, 2020

Snowflake is a cloud data platform for big data analytics

Snowflake is a new big data cloud back-end solution, and the company has been holding “Data for Breakfast” meetings in many different cities to introduce data scientists to their product. I went to the meeting held on March 4, 2020 at the Marriott Long Wharf in Boston, and here is my review. Not My First […]

VP at Data Robot Tells Cautionary Tale of Data Science, AI, and Healthcare

Ice cream cone fallen upside down on a sidewalk.

I encourage those of you into data science and AI to sign up to receive digests from Data Science Central. I happened upon this web site when looking for some references for a book I am writing, and found some amazing articles. Since I’m into data science in and AI in healthcare, I was intrigued […]

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