“Our Lakehouse Copilot further supports ‘bring your own data’ scenarios, which enables clients to apply AI to their enterprise data linked with data provided by Rimes. By leveraging the Data Lakehouse, we can help clients accelerate their AI adoption without needing specialist skills in-house and be assured that there is no data leakage.”
Rimes has announced the release of Data Lakehouse Copilot, a platform powered by a Large Language Model (LLM) designed to offer swift insights through natural language processing.
Primarily targeting the analysis of ETF data, open-source ESG data, and demonstration data from various partners, Data Lakehouse Copilot aims to streamline the process of data query generation using state-of-the-art AI models.
The goal is to make workflow management easier for end-users by enabling natural language queries and supporting personalized data scenarios without the necessity for specialized in-house skills. Investment managers can leverage AI Copilot’s for expedited access to vital data sets without the hassle of coding.
‘Bring your own data’
Theo Bell, Head of AI Product Development at Rimes, said: “The Lakehouse Copilot leverages best-in-class AI models for data query generation and is securely deployed in the client’s Data Lakehouse. The power of AI is immense; for example, adding metadata to standard data models better supports end-user workflows through natural language queries. Our Lakehouse Copilot further supports ‘bring your own data’ scenarios, which enables clients to apply AI to their enterprise data linked with data provided by Rimes. By leveraging the Data Lakehouse, we can help clients accelerate their AI adoption without needing specialist skills in-house and be assured that there is no data leakage.
Justin Brickwood, Chief Product Officer at Rimes, added: “Developing these new capabilities in partnership with clients enables us to apply our unique expertise and deep domain knowledge to solve genuine business problems. In our experience, this is the most effective way to deliver game-changing solutions. We are at the forefront of a positive journey to change and truly appreciate the support we are receiving from our users. Watch this space.”
Rimes deployed investment platform at Boston Partners
Rimes recently deployed its Matrix investment management platform at Boston Partners. By integrating multiple data sources, the platform enables comprehensive enterprise reporting, business intelligence, historical data retention, and distribution to downstream systems.
According to Rimes, it took nine months to go live and the implementation process was expedited to ensure a smooth transition without disrupting Boston Partners’ daily business activities. Following the successful launch, Boston Partners has expanded its collaboration with Rimes for ongoing maintenance of the platform, recognizing the benefits of a continually evolving managed service.
Matrix, an investment management platform by Rimes, streamlines the management of intricate, multi-level investment and product structures, enhancing the clarity of portfolio management and investment decisions. This cloud-native platform is designed to scale investment strategies, offering a flexible, non-restrictive solution for various investment management needs.
Asset Allocation: Matrix automates cash allocation and rebalancing processes, addressing challenges in asset allocation decisions. It allows the blending of indexes, setting of rebalance periods and target weights, and provides a comprehensive view of holdings with audited workflow capabilities. This feature aids in visualizing external managers’ holdings.
Exposure Management: The platform serves as a comprehensive solution for aggregating and analyzing assets, utilizing diverse factors and classification schemes. It tackles issues like untimely data, multiple back-office providers, misalignments between front and back-office processes, intraday trading, and market movements. Matrix offers flexible position views, extraction of position data, and advanced investment data management.
Digitization and Automation: Matrix supports the automation of complex workflows, integrating external calculations for a unified investment process experience. This integration ensures repeatability, transparency, and improved governance, spanning exposure management, external calculations, and workflow solutions with audit and control features.
Reporting and Compliance: To address evolving regulatory reporting demands, especially in ESG investing, Matrix provides reliable data and flexible tools for accurate and timely performance, exposure, and fund manager reports. Rimes equips users with quality data and analytics tools to meet complex, multi-jurisdictional regulatory requirements.
Data Distribution and Warehousing: The platform facilitates data distribution and warehousing across various office levels and to third-party systems via cloud, API, and desktop. It utilizes private, client-specific data “lake-houses” built on dedicated Azure infrastructure and can integrate with industry partners like Snowflake for data warehousing and distribution.
