Tagging with a New Taxonomy
The benefits to information users of having content tagged with a taxonomy are significant: increased accuracy, comprehensiveness of search results, etc. However, often the greatest challenge to taxonomy adoption is the ability to tag all of the content with the taxonomy terms as intended. Issues include allocating resources for tagging, implementing a new content management […]
Read moreSustainable Investing Hindered by Incoherent Taxonomies: Report
Disparate sustainable investing standards hinder capital flow into transition projects, the CFA Institute said in a report that called for greater collaboration on creating cohesive taxonomies. Disjointed sustainable investing taxonomies and reporting standards across jurisdictions are holding back capital flows into transition projects, according to the report. Currently, no standardized definition of eligible activities and […]
Read moreElevating Data Foundations for AI and GenAI with Ontologies
In the ongoing gold rush of harnessing GenAI's transformative potential, many companies are actively engaged in proofs-of-concept and experimental initiatives. Most companies either lose revenue or hinder growth due to inefficient data use, let alone enabling AI at scale. So, the question arises: how can organizations effectively attain data mastery to propel the capabilities of […]
Read moreDigital Twin Ontology: Unlocking Efficiency and Innovation
In the field of information science and knowledge representation, an “ontology” refers to a formal and explicit specification of concepts, entities, and relationships within a specific domain of interest. It outlines the structure and semantics of a knowledge domain by organizing concepts into a hierarchy and defining their properties and interconnections. Central to the concept […]
Read moreHarmonization and Knowledge Management with a Semantic Single Source of Truth (SSOT)
In large companies, especially those that have grown through acquisitions, there often exists a coexistence of the most diverse tool landscapes. There are various business areas and competencies, individual processes, and historically grown environments that cannot be replaced, migrated, or standardized in the short term or economically in practice. From demand and requirements management, product […]
Read moreHow Semantic Search is Being Used in AI Recruitment
The field of recruitment is undergoing a significant transformation with the integration of Artificial Intelligence (AI) in tasks like writing more attractive job postings, resume screening, resume parsing, and more. One of the key advancements in this domain is the use of semantic search. Traditional recruitment methods often rely on keyword searches, which can be […]
Read moreUnderstanding Semantic Layers for Your Data Platform at Data Summit 2024
Semantic layers stand out as a key approach to solving business problems for organizations grappling with the complexities of managing and understanding the meaning of their data. A semantic layer, also called a context layer, is a business representation of data that allows organizations to quickly map various data definitions, from multiple data sources to […]
Read moreEnhancing ESG Data Consumption with Transformational Technology
In today’s dynamic asset management landscape, integrating environment, social, and governance (ESG) factors into downstream business processes has become imperative for executives navigating complex investment management and regulatory compliance environments. Evaluating the current tools utilized for ESG data aggregation and reporting by business workflows is crucial in modernizing the technology and architecture being used. This […]
Read moreWill Semantic AI Turbo Charge RPA Software Robots?
Though there is no official definition of Semantic AI, it is generally regarded as the combination of technologies namely Resource Description Framework (RDF), Ontologies, SPARQL (pronounced "sparkle”, RDF Query language), web technologies, and AI. The aim of Semantic AI is to use semantics to enable AI code to better understand, interpret, and use reason with […]
Read moreISSB Launches Groundbreaking Digital Sustainability Taxonomy
The International Sustainability Standards Board (ISSB) announced the publication of its IFRS Sustainability Disclosure Taxonomy (ISSB Taxonomy). The launch is a vital step in empowering investors and capital providers to navigate and analyze sustainability-related financial information more efficiently. The ISSB Taxonomy, which is informed by extensive market feedback, aligns with the IFRS S1 General Requirements […]
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