The Role of Ontology in Application Risk Management
Managing application risk has a lot to do with managing data. To mitigate application risks, it is necessary to gather data from heterogeneous and sometimes far-flung sources—data about assets, vulnerabilities, business impact, users, threat intelligence, remediation workflows and more. According to Syed Abdur, Director of Products, Brinqa, without coherent ontology, application security will become both […]
Read moreAn Enterprise Object-Oriented Information Taxonomy for Information Governance
Today, information management is no longer about Enterprise Content Management (ECM) or Knowledge Management (KM) systems. It is multi-dimensional. Furthermore, data explosion has led to fragmentation and creation of data silos hosted in diverse systems with different characteristics. This has resulted in confusion around search/retrieval, reporting, and lifecycle governance. Additionally, there is the risk of […]
Read moreTagging for Cloud Spend Management
Multi-cloud environments are complex and hence managing them effectively is a daunting challenge for enterprises. Enacting a consistent and effective tagging strategy is one way of overcoming the challenge. However, centralizing the tagging effort has its own challenges as many enterprises have trouble with consistent naming and assigning responsibility. In a multi-cloud environment, tags are […]
Read moreEnhancing DAM with Metadata and Taxonomy
Metadata and taxonomy play a key role in defining and categorizing data, which is critical to effective digital asset management (DAM). As a repository of content, DAM is at the core of the marketing technology stack and with an intelligent organizational scheme, it offers enhanced value. This article elaborates on how DAM can meet the […]
Read moreFinal Recommendations for a Taxonomy of Environmentally Sustainable Activities Published
The European Commission’s technical expert group (TEG) on sustainable finance published its final recommendations for a taxonomy of environmentally sustainable activities. This is to facilitate the Commission’s ongoing efforts to harness the financial sector for its fight against climate change. The main recommendation sets out technical screening criteria for 67 economic activities that can contribute […]
Read moreMetadata Tagging with Artificial Intelligence
Metadata tagging is a fundamental element of information management. It is the key to the proper classification of assets. Proper classification helps all the stakeholders—employees, clients, and prospects—access relevant assets quickly. Until recently, metadata tagging was an onerous task. The advent of artificial intelligence (AI) has brought in a welcome change to the process of […]
Read moreHow to use AI to Enrich Information Management
Organizations should go beyond using artificial intelligence (AI) for simple content classification and optical character recognition (OCR) processes. In fact, if appropriately used, the massive volumes of content and data that already exist within most organizations could well become a veritable gold mine. Dave Jones, VP of product marketing at Nuxeo, explores how organizations can […]
Read moreExploring Linked Data
Linked data has been around for ages. However, there is opaqueness around what is linked data and what it does. To dispel the nebulosity surrounding linked data, Antero Duarte, Software Developer at Wallscope, takes us through a conceptual journey. Linked data is a suite of tools, frameworks, and standards to make data shareable, reusable and […]
Read moreA Taxonomy of Definitions for the Health Data Ecosystem
The evolving health data ecosystem presents new challenges for policymakers and the industry. The demands emanate from the increasing adoption of data-driven products and services to enhance health outcomes. Consequently, there is a mounting need to understand and document the stakeholders, the emerging data types and their uses in a more structured manner. To address […]
Read moreMetadata and DAM-keeping the conversation between an organization and a customer going
Business systems are full of unstructured data. Users produce content without any metadata to search and categorize by, creating an unusable library of files. Therefore, the struggle in managing content within a digital asset management system (DAM) is as complex as the digital workflows underpinning the effort. According to John Horodyski, an executive with Optimity […]
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