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Scott Burk

Founder at It's All Analytics

Austin, United States

Founder, It’s All Analytics (itsallanalytics.com)
Scott Burk is an author of four books on AI, data science and analytics including the It’s All Analytics Series, the Executive Guide for AI and Analytics and Practical Data Analytics for Innovation in Medicine. He currently teaches in the Master of Data Science program at CUNY and has taught at Baylor and Texas A&M. He has worked for startups in multiple industries as well as established firms like Texas Instruments, Dell, Paypal, EBay, Overstock.com and in healthcare. Scott has a bachelors in biology and chemistry, master degrees in finance, statistics and data mining and a PhD in statistics. Scott has a data science consulting practice and resides in Central Texas

His experience is primarily in application; solving difficult analytical problems. He has diverse experience that includes a variety of executive (VP and Director) level positions in finance, IT, statistics, engineering, sales and marketing as well as front line, technical positions. Data has been the thread that has tied his professional experience together.

Available For:
Travels From: Austin, Texas
Speaking Topics: AI, Data Infrastructure for Data Science, Analytics

Scott Burk Points
Academic 0
Author 71
Influencer 58
Speaker 0
Entrepreneur 0
Total 129

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Company Information

Company Type: Service Provider
Minimum Project Size: Undisclosed
Average Hourly Rate: Undisclosed
Number of Employees: Undisclosed
Company Founded Date: Undisclosed

Areas of Expertise

AI 30.96
Analytics 33.06
Big Data
Business Strategy
Culture
DevOps
Digital Transformation
Digital Twins
HealthTech
Innovation
IoT
Leadership 30.16
Predictive Analytics 30.79
Risk Management

Industry Experience

Publications

8 Article/Blogs
Causal inference is especially important in AI prescribed medical treatments
The Yuan
November 22, 2023
In this sixth installment of his ongoing series: AI Prediction, AI Prescription and Causation in Medicine, CUNY Data Science Prof Scott Burk explains the concept of causal inference and pinpoints the key reasons for its critical importance in the realm of AI and its applications.

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Tags: Analytics, AI, Leadership

Turning predictive models into prescriptive ones is a meticulous process
The Yuan
September 01, 2023
The previous article concluded with three considerations for transforming a predictive model into a prescriptive one. This one will explain each of these in greater depth. First, one should always assume causation based on well-documented scientific studies. Second, make sure to design experiments and randomized clinical trials that can actually establish causation. Third, think about causal inference methods that may include Bayesian networks. These methods will also be discussed in future installments.

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Tags: Analytics, AI, Leadership

The future of AI is bright if humans and machines work hand-in-hand
The Yuan
June 30, 2023
AUSTIN, TEXAS - Advancements in artificial intelligence (AI) are proceeding at an incredible rate. AI was once an arcane topic limited to researchers, academics, and high-tech companies, but has now gone mainstream. With the rapidly increasing technical sophistication of AI chatbots like OpenAI’s ChatGPT-4, Google’s Bard, and others, the news has been full of predictions ranging from the detrimental effects of AI on the workforce to the tremendous benefits society will receive from them. This article explores a few truths about these technologies and some predictions on how things might shake out in the near future.

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Tags: Analytics, AI, Leadership

Causation in AI applications in medicine, predictions, and prescriptions
The Yuan
April 03, 2023
This paradigm is attributed to Judea Pearl1 in his work The Book of Why.2 Pearl described a ‘ladder of causation,’ where increasing evidence provides insight into one’s understanding of why something occurred and with what level of deterministic mechanism behind it.

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Tags: Analytics, AI, Leadership

Causation: The most misunderstood concept in AI
The Yuan
February 21, 2023
AUSTIN, TEXAS - Artificial intelligence (AI) applications in healthcare are improving clinical decision making and therapies and enhancing clinical and operational efficiencies. They offer the potential to radically transform medical practice and improve global health. While this is great news, the misapplication of AI models can easily lead to undesirable results: To avoid this, the formulation and application of AI models require different philosophical and mathematical assumptions.

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Tags: Analytics, AI, Leadership

Models, Models, Models
LinkedIn
November 08, 2022
There is a great deal of talk about models! AI models, machine learning models, statistical models and more. We will be using this in a very general sense in this series, but what is a model? We deal with models unconsciously, all the time. Without them we would have a hard time navigating through life. A model is just a representation of a mental concept. We provide three diverse examples. First, take a look at the following:

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Tags: Analytics, AI, Leadership

Some Fundamentals – Process, Data and Models
LinkedIn
November 01, 2022
In the last post we considered shortcomings of existing analytics programs – limitations and gaps in culture and organizations. We discussed building a successful analytics program by justifying and selling the concept throughout the organization. Then avoiding gaps by redesigning or designing the program for success. In this post we move into the basics that are shared across different data-driven techniques before we launch into upcoming psots where we cover each topic independently and more in-depth.

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Tags: Analytics, AI, Leadership

The Goal – 7 Keys to Enable Everyone for AI with a Platform
LinkedIn
August 25, 2022
I had a great conversation with a longtime (almost 20 year) friend. Doug Bryan is an AI strategist with a great career history in AI and ML (like Amazon, Stanford, Accenture, Merkle, many more). We met at Overstock . Much of the conversation was about his role as AI strategist and what is happening with technology and in the marketplace. However, Doug started speaking to something that immediately caught my ear. I don’t think he had formally thought through all of it and it intrigued me. So, I had him elaborate and it boiled down to 7 points for enabling everyone for AI. Here are the components needed to make this happen:

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Tags: Analytics, AI, Predictive Analytics

1 Book
It's All Analytics! The Foundations of AI, Big Data and Data Science Landscape for Professionals in Healthcare, Business, and Government (978-0-367-35968-3, 325690)
Francis and Taylor, CRC Press
July 09, 2020
Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially in the last 25 years, there has been an explosion of terms and methods that automate and improve decision-making and operations. One term, "analytics," is an overarching description of a compilation of methodologies. But AI (artificial intelligence), statistics, decision science, and optimization, which have been around for decades, have resurged. Also, things like business intelligence, online analytical processing (OLAP) and many, many more have been born or reborn. How is someone to make sense of all this methodology and terminology?

This book, the first in a series of three, provides a look at the foundations of artificial intelligence and analytics and why readers need an unbiased understanding of the subject. The authors include the basics such as algorithms, mental concepts, models, and paradigms in addition to the benefits of machine learning. The book also includes a chapter on data and the various forms of data. The authors wrap up this book with a look at the next frontiers such as applications and designing your environment for success, which segue into the topics of the next two books in the series.

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Tags: AI, Analytics, Predictive Analytics

1 Media Interview
What mistakes to avoid in Data Science & Analytics - Scott Burk - Ep.10
YouTube
November 02, 2022
Today, I spoke with Scott Burk. He has a Ph.D. in statistics and 30 years of experience. He is also a professor of data science at CUNY. He has authored four books about data science and A

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Tags: Analytics, AI, Leadership

1 Video
Thoughts for Entering the Business Analytics Field The BIG Picture - Video #1
YouTube
October 24, 2023
I have been getting many questions from professionals wanting to make a switch into business analytics. I thought I would scale this a different way and offer some videos that might help more people in a similar situation. At this point it is a trial. If this is useful, please let me know here or on Linkedin and I will add more and create a dedicated playlist. Thanks!

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Tags: Analytics, AI

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