Vera Shulgina

Vice President of Product Management

About the Author

Vera is responsible for Arcesium's data strategy with a focus on driving value for clients through data solutions and data partner integrations.

Authored Blogs (12)

Search All Articles
AI Governance: From Theoretical to Operational

AI Governance: From Theoretical to Operational

Innovation & TechAll Segments
Agentic AI is moving from pilot to production. Investment firms need reasoning governance, human-in-the-loop oversight, and clear data sovereignty.
Four Levels of Agentic AI Deployment

Four Levels of Agentic AI Deployment

Innovation & TechAll Segments
Four levels of agentic AI deployment help firms calibrate autonomy against oversight, from single-task prompts through orchestrated multi-agent systems.
What an Agent Really Is

What an Agent Really Is

Innovation & TechAll Segments
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.
From SaaS to Service as a Software in Investment Management

From SaaS to Service as a Software in Investment Management

Innovation & TechAll Segments
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. Simple Automation: When Plain-Vanilla Processes Are the Best Solution

AI vs. Simple Automation: When Plain-Vanilla Processes Are the Best Solution

Innovation & TechAll Segments
AI vs automation in asset management: learn when simple, rules-based automation outperforms AI — and where AI delivers real operational alpha.
Hedge Funds Are Transforming Unstructured Data Into Operational Alpha With AI

Hedge Funds Are Transforming Unstructured Data Into Operational Alpha With AI

Innovation & TechHedge Funds
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.
Data Strategy Considerations for AUM Expansion

Data Strategy Considerations for AUM Expansion

Data & GovernanceInst'l Asset Managers
The data sources, tools, and framework considerations for a new fund launch, asset class, geography, or ESG investment.
Is Your Data Initiative Underperforming?

Is Your Data Initiative Underperforming?

Data & GovernanceAll Segments
Insights on data strategy challenges and key considerations to evaluate at each stage of the institutional investment data value chain.
Raw to Refined: A Framework for Data Sourcing

Raw to Refined: A Framework for Data Sourcing

Data & GovernanceAll Segments
Our professionals explore data sourcing challenges and share key considerations to evaluate to create meaningful insights.
Going the Distance to Build a Robust Data and Analytics Infrastructure

Going the Distance to Build a Robust Data and Analytics Infrastructure

Data & GovernanceAll Segments
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...
Measuring the Significance of Data

Measuring the Significance of Data

Data & GovernanceAll Segments
While few deny the value of data, the challenge remains how to measure and value the impact of your data and data initiatives.
Top 5 Tips for Accelerating Data Onboarding Throughput

Top 5 Tips for Accelerating Data Onboarding Throughput

Data & GovernanceAll Segments
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...