Content related to What Team Do You Need for Successful Knowledge Graph Development?
Multimodal Graph RAG (mmGraphRAG): Incorporating Vision in Search and Analytics
David Hughes, Principal Data & AI Solution Architect at Enterprise Knowledge, presented “Unleashing the Power of Multimodal GraphRAG: Integrating Image Features for Deeper Insights” at Data Day Texas 2025 in Austin, TX on Saturday, January 25th. In this presentation, David … Continue reading
A Guide to Selecting the Right Auto-Tagging Approach
Auto-tagging processes automate the manual labor of applying relevant keyword tags to data and content, enhancing accessibility and improving the organization of large datasets. Whether you’re trying to improve how quickly you find data or embarking on a content cleanup … Continue reading
Enhancing Retail Performance with Semantic Layer As an Enabler for Data and Analytics Teams
Enterprise Knowledge is working with a multinational bank to enable their risk-assessing processes by using semantics and connected data. Heavily regulated financial services firms require comprehensive and complex risk management. This requires employees to thoroughly account for risk and report it in detail to regulators. Continue reading
A Semantic Layer to Enable Risk Management at a Multinational Bank
Enterprise Knowledge is working with a multinational bank to enable their risk-assessing processes by using semantics and connected data. Heavily regulated financial services firms require comprehensive and complex risk management. This requires employees to thoroughly account for risk and report it in detail to regulators. Continue reading
Out of Many, One: Building a Semantic Layer to Tear Down Knowledge Silos
Guillermo Galdamez, Principal Consultant, and Nina Spoelker, Consultant, jointly delivered a presentation titled ‘Out of Many, One: Building a Semantic Layer to Tear Down Silos’ at the 2024 edition of LavaCon. Guillermo and Nina provided practical, proven guidance on how … Continue reading
How Data Becomes Dark
Are you navigating through the complexities of managing your enterprise’s unstructured data? This infographic shows the journey from data creation to its eventual transformation into ‘dark data’—data that remains underutilized and potentially exposes organizations to risks. We break down the … Continue reading
A Semantic Layer Approach to Enterprise Knowledge Management and Information Findability
Within an organization or enterprise, multiple knowledge organization systems tend to be siloed and used for different purposes in different systems (the website, the intranet, technical documentation publishing, the product catalog, customer support articles, training materials, etc.). If this disparate … Continue reading
Mastering the Dark Data Challenge: Harnessing AI for Enhanced Data Governance and Quality
Enterprise Knowledge’s Maryam Nozari, Senior Data Scientist, and Urmi Majumder, Principal Data Architecture Consultant, presented a talk on “Mastering the Dark Data Challenge: Harnessing AI for Enhanced Data Governance and Quality” at the Data Governance & Information Quality Conference (DGIQ) … Continue reading
The Metadata Knowledge Graph
Modern data landscapes are characterized by immense volumes of diverse, disparate, and dynamic data sources, leaving many organizations struggling to effectively manage and derive value from their data assets. To address these challenges, a metadata knowledge graph serves as a … Continue reading
A Tale of Two Semantic Layers
In the rapidly evolving landscape of information and data management, the term Semantic Layer is increasingly utilized to describe two different types of ‘layers’ in the modern data stack. The first Semantic Layer is focused on enabling centralized analytics within … Continue reading