Vera Shulgina

The word agent gets used loosely in AI conversations. Breaking an agent into its skills and tools changes how you observe, upgrade, and govern it.

Investment management software is shifting from SaaS tools to outcome delivery. Learn how to evaluate vendors on results and what the shift means for operations.

AI vs automation in asset management: learn when simple, rules-based automation outperforms AI — and where AI delivers real operational alpha.

Hedge fund data management now hinges on mastering unstructured data from alternative sources, private credit, SMAs, and OTC derivatives. Learn how AI unlocks operational alpha and scalable post-trade automation.

The data sources, tools, and framework considerations for a new fund launch, asset class, geography, or ESG investment.

Insights on data strategy challenges and key considerations to evaluate at each stage of the institutional investment data value chain.

Our professionals explore data sourcing challenges and share key considerations to evaluate to create meaningful insights.

Using data to derive actionable insights and effectively create positive impact is a game-changer for any business. Common goals of a robust data analytics program can include...

While few deny the value of data, the challenge remains how to measure and value the impact of your data and data initiatives.

The reality of modern investing is that external data is a critical resource asset managers need to help generate peak performance. To achieve your firm-wide goals, what...