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
Home
Machine Learning
A/B Testing Pitfalls – Interview w/ Sumit Gupta @ Notion
Interview w/ Sumit Gupta – Business Intelligence Engineer at Notion In our latest episode of the AI Think Tank Podcast, I had the pleasure of sitting… Read More »A/B Testing Pitfalls – Interview w/ Sumit Gupta @ Notion
Leveraging GenAI and LLMs in the insurance and reinsurance domains
Abstract Large Language Models (LLMs) are a natural language processing tool under the category of generative artificial intelligence. They have the power to transform the… Read More »Leveraging GenAI and LLMs in the insurance and reinsurance domains
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
Revolutionizing real estate through technology and project management
There have been huge improvements in the technological world and the way we work. The real estate market is known for its traditional methods and… Read More »Revolutionizing real estate through technology and project management
Best practices for structuring large datasets in Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation, or RAG, is a game-changer for AI applications, allowing large language models to pull real-time, factual information from massive datasets to enhance their… Read More »Best practices for structuring large datasets in Retrieval-Augmented Generation (RAG)
A feedback loop alternative to RAG that aligns LLMs with knowledge graph models
Image by Gerd Altmann from Pixabay Discover AI–a YouTube channel run by an unidentified Austrian man who distills and highlights the findings of AI papers… Read More »A feedback loop alternative to RAG that aligns LLMs with knowledge graph models
Deep Reflections on Mycelium, Neural Networks, & AGI
Interview with Jeanette Small, MA, PhD In this recent AI Think Tank Podcast episode, we took a close look into the complexities of intelligence, neural… Read More »Deep Reflections on Mycelium, Neural Networks, & AGI
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?