Mathematical optimization for AI
Interview / Jerry Yurchisin, Sr. Data Scientist @ Gurobi As a lifelong systems thinker and technology advocate, I’ve long been fascinated by the intersection of… Read More »Mathematical optimization for AI
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AI in Government
This rubric explores topics related to government digitalization and data exploration efforts, including information model development, use of cognitive computing in various agencies, legislation pertaining to data privacy and security, and AI initiatives at the global level.
Davos World Economic Forum Annual Meeting Highlights 2025
Interview w/ Egle B. Thomas Each January, the serene snow-covered landscapes of Davos, Switzerland, transform into a global epicenter for dialogue on economics, technology, and… Read More »Davos World Economic Forum Annual Meeting Highlights 2025
Current state of machine learning and intelligent systems
Interview with Dr. Andrea Isoni – SHOW 16 Intelligent systems are evolving faster than ever, and keeping up with the latest advancements requires expertise, foresight,… Read More »Current state of machine learning and intelligent systems
Data science implications of a second gilded age
Wirestock on Freepick Mark Twain coined the term The Gilded Age when he published his 1873 novel The Gilded Age: A Tale of Today. Between… Read More »Data science implications of a second gilded age
Big data analytics in government: How the public sector leverages data insights
Big data can have a huge impact on governments local, national, and global. Governments must make sense of the enormous amount of data they receive daily and try to make sense out of it to make critical decisions that affect millions of people.
A user-centric approach to responsible AI
Katalin Bártfai-Walcott (KBW) of Ambient Enterprises posted some helpful observations and thoughts via LinkedIn in September on how LinkedIn and other comparable platforms are treating… Read More »A user-centric approach to responsible AI
Explainable AI (XAI): How can Black Box models be transformed into comprehensible intelligence?
The AI market is demonstrating sustained growth, expanding at a compound annual growth rate of 38.1% from 2022 to 2030. From voice assistants to autonomous… Read More »Explainable AI (XAI): How can Black Box models be transformed into comprehensible intelligence?
The current state of AI ethics
Interview with Laura Miller After a nice Summer break here at the AI Think Tank Podcast, I had the pleasure of sitting down with Laura Miller. Laura… Read More »The current state of AI ethics
The rationale for open data stewardship in an AI age
Image by Gerd Altmann from Pixabay The considerable advantage of the internet and the web is that together they boosted the global economy dramatically. By… Read More »The rationale for open data stewardship in an AI age
California SB 1047: Limitations of regulation for AI safety, governance, and alignment
If a state wants to ensure very clean air—most of the time—regulation is an approach to achieving that outcome. Litigation is also on the table… Read More »California SB 1047: Limitations of regulation for AI safety, governance, and alignment