AI ready state A "knowledge graph" when combined with "LLM RAG" (Retrieval Augmented Generation) allows a large language model (LLM) to access a structured network of information, enabling it to generate more accurate and contextually relevant responses by retrieving relevant data points from the graph, essentially providing a richer understanding of relationships between entities within a given domain, leading to improved query comprehension and response quality. Data Connectivity All the individual data points need to be directly connected or indirectly connected to one another. Data Precision Data must be high quality. 'Dirty' data will invalidate ML/AI results every time. Standardized Taxonomies Connecting and standardizing dozens of data sets into a single knowledge graph, SRS provides a turn-key data solution Hierarchical Relationships Hierarchies play a critical factor in mapping data relationships, data networks, and building decision trees. ML/AI 'shines' when hierarchical relationships are fully supported. Data Aggregation Knowledge Graphs support simple methods for data aggregation and data drill down. Point in Time All nodes or entities in a Knowledge Graph can support attribute values over time. Data Visualization Data connectivity greatly expands and enhances data visualization and data reporting. Data Integration The ability to provide multiple ways to easily connect to other third party and open data sources. Data Governance and Spatial Risk from a data governance perspective. 1. Issuers/Entities (Public, Private, Governments) 2. Security Level ISIN, CUSIP, Loan Identifiers 3. Listing Level Exchange Code/Ticker Symbol, SEDOL 4. Point in Time Time Series - Climate, Environmental, Emissions, Electricity Generation. Seamlessly connecting asset locations to public, private and governmental entities, their financial identifiers (i.e., ISIN, Ticker, etc..) and relevant climate, environmental and socioeconomic factors. 5. Point in Space Location-specific factors impacting investment and operational outcomes.4
Critical factors in play
SRS Knowledge Graph now adds a spatial layer to the existing financial sector data ecosystem
