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Defense spending across NATO and its European members is entering a new phase, defined not just by scale but by complexity and opacity.
In this webinar, we will explore 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.
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.
Originally used by early search engines to index the web, web scraping has evolved into a sophisticated data infrastructure supporting industries ranging from finance and e-commerce to academic research and machine learning.
The growing use of transcripts in investment research and corporate communications is reshaping how buyside firms capture, analyze, and govern information.
Eagle Alpha rounds up some of the most relevant legal and compliance articles surrounding the alternative data space over the past month.
HoldCrunch provides analysis of prediction markets and online sports betting (OSB) through a combination of handle conversion modelling, pricing comparisons, and product evaluation.
In this webinar, we hosted Parameta Solutions and Turnleaf Analytics to explore how OTC-derived data and machine learning are transforming macro research and cross-asset investment strategies. We highlighted how alternative datasets can be used for navigating rates, FX markets, and inflation.
As compliance professionals reflect on the past year, many do so with a sense of frustration. This frustration is not rooted in wasted effort, but rather in the sheer complexity of the Department of Justice’s Data Security Program, commonly referred to as the DSP.
On January 22nd, we hosted a webinar with Nosible and Boltzbit to see their labs apply detective skills for backtest-ready web data, covering petabyte archives, real-time crawling, temporal anchoring, and continual learning for point-in-time LLMs.
Traditionally, data vendors sold access through APIs or file delivery and relied on human developers to integrate and maintain those connections. MCP changes this model by allowing datasets to be directly consumed by AI agents.
Advertising data has become a critical lens through which marketers, investors, and researchers can better understand consumer behavior, competitive dynamics, and firm performance.
