The panel focused on AI, alternative data, and compliance, exploring the risks, governance considerations, and practical challenges facing investment funds.
Eagle Alpha rounds up some of the most relevant legal and compliance articles surrounding the alternative data space over the past month.
The erosion of trust in official government statistics, particularly from the Bureau of Labor Statistics, highlights the risks posed when data collection faces political interference, funding cuts, and falling response rates.
Advances in NLP, machine learning, and LLMs now allow asset managers to filter noise and extract actionable insights from platforms like Reddit, YouTube, and TikTok.
The quality and architecture of underlying data infrastructure determines whether AI delivers real value or expensive disappointment.
As the use of alternative data becomes central to the alpha generation process, buyside firms are investing heavily in building out their data infrastructure. At the heart of this transformation lies the data sourcing function.
Eagle Alpha rounds up some of the most relevant legal and compliance articles surrounding the alternative data space over the past month.
The European Union's Artificial Intelligence Act (EU AI Act) represents a world-first in comprehensive regulation of artificial intelligence technologies
Compliance is not limited to production environments. Trial and test systems can introduce serious legal and reputational risks if not handled with equal care.
Recent developments suggest LinkedIn has intensified its efforts to block web scrapers, a move that could be affecting human capital data vendors who rely on this source.
Financial flow data plays a critical role in understanding how capital moves through the financial markets. Specifically, it provides valuable insight into the behavior and preferences of investors.
Eagle Alpha rounds up some of the most relevant legal and compliance articles surrounding the alternative data space over the past month.
