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Eagle Alpha rounds up some of the most relevant legal and compliance articles surrounding the alternative data space over the past month.
Prediction markets have crossed from curiosity to a real-time, crowd-priced probability layer over exactly the catalysts that move books.
AI is dramatically accelerating how work gets done, but data remains fragmented across systems and critical context is often locked within teams. The speakers explored how agentic AI architectures move beyond traditional search and chatbot interfaces
From statistical arbitrage and factor investing to machine learning-driven prediction systems, quant strategies thrived on the existence of exploitable alpha. Yet the modern market environment is increasingly defined by alpha degradation
In this webinar, we explored the emerging reality of “AI-mageddon”, a market environment where incumbents are under pressure, new entrants accelerating faster than ever, and enterprise buyers rethinking how they evaluate software altogether.
The number of active websites continues to expand, with many of these new sites built using AI native tools rather than traditional SaaS platforms.
ETR data through APR26 indicated AI spending in the enterprise has moved past the purely additive phase. Reallocation has begun, but displacement has not yet arrived.
Eagle Alpha rounds up some of the most relevant legal and compliance articles surrounding the alternative data space over the past month.
Synthetic data represents a structural shift in how financial institutions approach data. By enabling the creation of realistic, privacy-preserving datasets, it unlocks new capabilities.
On April 9th, we hosted a webinar exploring how forward-looking datasets across hotels, airlines, and cruises are providing early visibility into demand, pricing, and revenue trends across the hospitality and leisure sector.
Defense spending across NATO and its European members is entering a new phase, defined not just by scale but by complexity and opacity.
The legal landscape surrounding artificial intelligence and large language models has undergone rapid and consequential evolution over the past two years, with 2025 and 2026 marking a decisive shift from theoretical debate to concrete regulation, litigation, and policy enforcement.
