Decentralized AI/Federated Learning

Forget OpenAI and Google. New decentralized networks are putting an end to Big Tech's monopoly. By Michael Kimelman |Edited by Betsy Farber Feb 22, 2026, 1:00 p.m. As AI infrastructure investments surge toward $300B in 2025 alone, fueled by mega-projects like the $500B Stargate initiative and hundreds of billions in Nvidia chip purchases, the decentralized AI space offers a compelling alternative to Big Tech's centralized dominance. Now’s the time to invest in it. In the rap

I’m excited to announce the launch of emagination! Along with my partners  Chris Cormier , and  Brandon Debenham , our team brings over 50 years of combined experience in building and scaling advanced Insurtech solutions. We are dedicated to helping enterprise insurance customers navigate the future through high-level data orchestration and the strategic application of AI. While we are early in our journey, we are building on a foundation of many years of expertise in handlin

Data clean rooms have become essential tools for organizations that want to collaborate on data analysis without exposing sensitive information. These secure environments allow multiple parties to combine and analyze data while preserving privacy and compliance with regulations. Yet, as data sharing grows, so do concerns about security risks and potential data leaks. Federated learning offers a promising approach to strengthen the security of data clean rooms by enabling coll

The insurance industry faces a growing challenge: how to use vast amounts of data spread across multiple systems to improve risk assessment, customer service, and fraud detection without compromising data privacy or incurring massive integration costs. Traditional approaches require gathering all data into a single location, which is often impractical due to regulatory restrictions, data sensitivity, and technical complexity. This is where federated learning offers a new path