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Knowledge Graph Standards and Ambient Computing

Ambient computing involves several vital facets. Foremost among them are Internet of Things (IoT’s) inter-device connectivity, sensors and actuators for devices, and connections with central cloud locations. Every function of IoT, particularly the inter-device communication at the edge, requires uniform interoperability standards. Knowledge graph technology offers the best standards for meeting these demands. A standards-based […]

The Semantic Layer – Simplifying Collaboration between Business and Data Science Teams

A semantic layer provides a consolidated view of data that enables everyone across an enterprise to understand the past better and predict the future. It bridges the gap between Business Intelligence (BI) users and data science teams, enabling enterprises to move from simple historical analysis to accurate predictions. Complex data relationships are mapped to easy-to-understand […]

How SAGE Improves Search and Usability of Digital Content in Europeana

SAGE is an online system that seeks to address searchability and usability issues of digital content in museums, libraries, archives, and Europeana. The system allows metadata manipulation in the Europeana Data Model (EDM) and other formats and models. Consequently, digital content can be enriched automatically through external services that employ state-of-the-art Artificial Intelligence (AI) and […]

Etsy’s Face Mask Taxonomy Category Development Story

Following the US Centers for Disease Control and Prevention recommendation to wear face masks in public to combat COVID-19, Etsy, the online marketplace, witnessed a massive demand for face masks. This surge required Etsy to move with greater urgency to create a taxonomy category for face masks, as it had none for the masks its […]

Keeping Enterprise Data Fresh and Relevant

Data integration aims to create a dataset that can be used many times without reformatting or loading into a new system. There are many approaches to integrating data so that it is fresh and relevant. However, the diversity of data sources and the need for quick responses have proved challenging. In addition, multiple approaches to […]

Everything You Needed To Know About Ontologies and Data

Ontologies are frameworks for defining shareable and adaptable knowledge across domains. They are the foundation for modeling high-quality, connected, and coherent data because of their capacity to describe relations and interconnectivity. Ontologies provide a varied set of tools for data modeling. For instance, the ontology data model can be implemented to a list of discrete […]

Why Enterprises Should Embrace Data Remediation

Maintaining the quality of data is challenging. The challenges include continuously changing data, iterative data models, inaccurate or corrupt data, and new and emerging data protection regulations. Enterprises can leverage data remediation to address each of these challenges, optimize operational efficiency and decision-making, and enhance data security and compliance. Effective data sanitization processes can stem […]

Why Are Web Accessibility and Diversity, Equity, and Inclusion Beneficial for Enterprises?

The goal of web accessibility is to make it easy for people with disabilities to navigate websites. Put simply, website accessibility makes websites readable, audible or adjusted in terms of animations, text, saturation, etc. From a professional perspective and a moral one, Diversity, Equity, and Inclusion (DEI) recognize an overlooked portion of the population contributing […]

Making Digital Accessibility a Part of the Culture

It is exciting to see digital accessibility as a theoretical and practical concept gaining prominence among enterprises. However, enterprises must stay on track to ensure that the awareness translates into progressive change. One of the most effective methods for ensuring accessibility is to adopt a top-down buy-in approach. Building an accessibility-first culture does not occur […]

Core Elements of Data Services That Help Master Data Quality

The impact of dirty data, which includes outdated, missing, incorrect information or duplicates, on enterprises is massive. Dirty data skew reports, automated processes, workflows, and campaigns and cause productivity loss and wasted spend. Enterprises can overcome dirty data challenges with the help of B2B data services. Six core elements —data standardization, URL fill, updating company […]