I was honoured to join Professor Tim Carone on his podcast about Technology, Faith & Science, called What’s R Future. Tim’s background is in astrophysics before he entered the business and academic worlds, where he’s worked as an enterprise architect and taught machine learning, predictive analytics, data mining, supply chain analytics, and emerging technologies, among other things.
Description: “The podcast is an interview with Peter Copeland. Peter is a policy advisor to the Ontario Provincial government and a philosopher of science. Peter works as a writer and contributor to Catholic Conscience. He has developed the Philosophy of Science Series that addresses some of the perennial themes in the philosophy of science in their contemporary guise. We discuss his ideas and papers, intelligence, and other cultural topics. We also cover an alternative to the Turing Test which I call the Tommy Lasorda Test for Artificial General Intelligence.”
- 00:02:45 Introduction
- 00:17:20 Catholic Conscience
- 00:36:05 Methodological Assumptions and Challenges, Quantifying qualities, and values in science
- 01:06:25 Science and Metaphysics
- 01:10:00 Intelligence and the Tommy Lasorda Test for Artificial General Intelligence
- 01:29:30 Faith and Reason
- 01:38:20 Catholic Journey
- 01:48:55 Science and Public Policy
About Professor Tim Carone
From Techonomy profile: Timothy E. Carone has expertise in autonomous systems, big data, Internet of Things, artificial intelligence and security. His most recent book is “Future Automation: Changes to Lives and to Businesses” which examines how autonomous systems will impact business models. He has developed and taught undergraduate, graduate, and executive education courses for Mendoza in the areas of Data Mining, Predictive Analytics, Machine Learning, Unstructured Data Analytics, and Emerging Issues. In 2016, he received the Class of 2016 MSBA Outstanding Teacher Award. Dr. Carone is a consultant to Fortune 500 companies in the areas of business strategy, enterprise architecture, and key vended technology platforms. He has over 25 years of experience in the design and implementation of high-performance enterprise architectures, the creation and execution of technology strategy projects, and management of complex implementation projects, which have included significant business analytic components. He has leveraged his science and math background to bring sophisticated business analytics solutions to clients and conducted executive training sessions for business leadership on business analytics, data mining, and machine learning. His PhD is in Physics from the University of Arizona. He was a Senior Scientist at the Space Sciences Laboratory at the University of California, Berkeley, and Staff Scientist at the Lunar and Planetary Laboratory at the University of Arizona.
Taken from his LinkedIn:
“I teach in the Department of IT and Supply Chain Management, the College of Business and Economics at the University of Wisconsin – Whitewater, the number one business school in Wisconsin. These include online, hyflex, and face-to-face classes on business process and ERPs, service architectures, business continuity/disaster recovery, and cyber-security. I taught machine learning, predictive analytics, data mining, supply chain analytics, and emerging technologies at the IT, Analytics, and Operations department in the Mendoza College of Business at the University of Notre Dame.
I published a book “Future Automation – Changes to Lives and to Businesses” which is on the impact to current business models from systems that combine analytics, machine learning, predictive analytics and other technologies to deliver capabilities equal to and surpassing that of most human workers. I am writing a second book about managing the future and it is due out by the end of the year.
I have spent over 25 years as an enterprise architect and program manager, working with strategy practices to create business strategies and the high performance architectures needed to implement the strategies. Much of this work involved moving companies to new data architectures with the most recent being the cloud. I have developed new teams for clients in the area of analytics, architecture, and project management. For 10 years I have designed and implemented what we now call models for descriptive, predictive, and prescriptive analytics.”