As the volume and complexity of data in banking and asset management grow, effective data management and analysis have become crucial to maintaining competitive and compliant operations. Opensee is at the forefront of harnessing AI and GenAI for this purpose, providing financial institutions with sophisticated tools for data quality control, real-time analytics, metrics estimation, and regulatory compliance. By embedding AI and GenAI directly into the data management lifecycle, Opensee empowers organizations to make data-driven decisions faster and with greater precision, setting a new standard for data integrity and actionable insights in the financial services industry.

Opensee’s AI-Assisted Risk and Trade Data Journey

The foundation of Opensee’s AI and GenAI solutions is a well-structured data journey that converts raw data into valuable insights. This process encompasses data ingestion, rigorous quality control, and advanced analytics, ensuring that data is always reliable and accessible.

• Data Storage and Aggregation: Opensee begins with a comprehensive data repository where raw data is ingested and stored for further processing. This setup supports a range of operations, from simple queries to complex aggregations, ensuring data is both clean and readily available for advanced analysis.
• Data Quality and Anomaly Detection: Ensuring data quality is essential, especially with regulatory requirements like BCBS 239 that mandate uniqueness, completeness, and consistency. Opensee’s AI tools detect and resolve anomalies in real time, enabling rapid identification and correction of data issues to maintain high standards of data integrity.

AI tools for Data Quality and Data Adjustments

Once data anomalies are detected, Opensee provides AI estimations for data adjustments, giving reliable estimates that eliminate the need for time-consuming revaluation cycles.

• Data Adjustment Tools: Opensee’s AI-driven adjustments involve extrapolating data from historical patterns, ensuring datasets remain accurate and consistent even with new data inputs.
• AI-estimated Metrics: Through neural network algorithms, Opensee’s platform proposes risk estimates, offering a powerful alternative to traditional methods. These predictions facilitate faster risk calculations and empower users to bypass full-scale revaluation, expediting decision-making.

AI tools for Data Exploration and Analytics

Following data adjustments, Opensee’s certification step flags data that is verified and ready for further analysis, instilling confidence among users. From here, Opensee’s exploration tools provide users with an in-depth view of data trends and metrics through innovative tools like Smart Driller and Driver Analysis.

• Smart Driller: This feature enables users to quickly isolate the key sub groups behind aggregated metric movements, making it easier to understand and analyze sensitivities, risks, and changes.
• Driver Analysis: Opensee leverages advanced decision-tree algorithms to pinpoint the main drivers of risk, ensuring analysts can identify the factors most influential on metrics.

What-If Scenarios and Analysis

Opensee’s AI capabilities extend to what-if scenarios which are critical for risk management and capital optimization.

• What-If Scenarios: Through neural network-based predictions, Opensee enables institutions to simulate and assess the impact of new trades or market shifts. For instance, hedge funds use Opensee’s tools to conduct real-time VaR calculations, optimizing risk assessment and portfolio adjustments without reliance on traditional proxies.
• Sensitivity Estimation: Opensee’s neural networks help estimate sensitivities across market scenarios, reducing computational requirements and enhancing accuracy without going through a full reevaluation cycle. This capability is particularly useful in liquidity and asset-liability management (ALM), where real-time forecasting and regulatory compliance are top priorities.

Real-Time Business Intelligence and Reporting

Opensee’s AI-driven platform streamlines BI reporting, automating the production of reports and visualizations, ensuring that critical data insights are both accessible and actionable.

• Automated BI Reporting: Customized dashboards and real-time analytics make reporting seamless, delivering key insights efficiently and allowing users to spend more time on strategic analysis.

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GenAI-Powered Data Assistant: Next-Level Data Interaction

Opensee’s Data Assistant is a cutting-edge GenAI tool that revolutionizes data interaction, allowing users to query, visualize, explore, and understand data in natural language, transforming how they access and interpret information.

The Data Assistant retrieves data efficiently and visualizes changes, providing users with essential insights in an easy-to-interpret format without requiring complex SQL or technical expertise.

• Dynamic Analysis Suggestions: Beyond simple queries, the Data Assistant offers deeper analysis suggestions and highlights patterns, trends, or potential risks, helping users uncover insights without needing advanced technical skills.
• Report Automation: The Assistant also automates report creation, producing comprehensive reports complete with visualizations and context, ready to share with stakeholders.

See demos of our GenAI Data Assistant for Market Risk and Trade Analytics here.

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Real-World Applications of Opensee’s AI and GenAI Tools

Opensee’s AI and GenAI solutions are tailored to meet the specific needs of banking and asset management sectors, providing practical applications that optimize financial decision-making across market risk, credit risk, liquidity risk, trade analytics, and more. Here are just a few examples:

• Liquidity and ALM Risk Management: By analyzing historical and real-time cash flows, Opensee helps banks anticipate liquidity gaps, optimize buffers, and comply with regulatory standards. The platform’s stress-testing and simulation capabilities allow institutions to analyze impacts on capital, liquidity, and profitability in diverse scenarios.
• Trade and Capital Optimization: Opensee’s platform assists in identifying optimal trade sizes, timing, and counterparties, using AI to analyze market data and historical executions. It also enables what-if analyses to assess market moves' potential impacts, guiding more effective trade and capital management.

Leading the AI and GenAI Revolution in Financial Data Management

Opensee’s AI-driven approach to data quality control, advanced analytics, and interactive data exploration offers a distinct competitive advantage for financial institutions. Our Data Assistant exemplifies how AI can make data accessible and actionable, elevating the decision-making process across risk management, trade optimization, and compliance.

In a sector where precision and speed are paramount, Opensee’s AI and GenAI solutions empower financial organizations to leverage their data with unprecedented ease and insight, allowing them to anticipate risks and make better-informed decisions in real time.

Get in touch with us to learn more.