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Data During Digital Transformation
Data governance refers to the set of laws, policies, regulations, authorities and decision-making structures that guide how enterprises collect, share and use data to inform decisions. Failure to strengthen balanced data governance not only leads to harms and infringement of rights, but curtails innovation, restricts economic transformation and undermines using data to its greatest potential…
Read MoreComprehensive Search Needs Solid Foundation
Enterprise search can retrieve data, both structured and unstructured, within a company. It is beneficial because it enables users to easily access organized information. An organization’s data architecture should be able to offer a method to share and reuse existing data. It should also suppress data duplication for efficient data management and high data quality. This…
Read MoreAccess Innovations Launches Data Harmony Hub for Automated Content Classification and Semantic Metadata Enrichment
Today Access Innovations, Inc. announced the launch of Data Harmony Hub™, a cloud-based platform that provides fully automated content tagging using expertly curated taxonomies. Users can easily and quickly select from a variety of existing taxonomies that are continuously maintained and updated. Data Harmony Hub is a managed service allowing organizations that need their content…
Read MoreBeing Responsible with AI
The artificial intelligence (AI) and machine learning market has been steadily growing over the past decade. If you look back at their track record, AI and machine learning helps decision-makers make educated strategic decisions. However, skeptics still ask if the AI hype is justified? I guess it depends on who you ask. Understanding AI is…
Read MoreArtificial Intelligence and Humanity
Artificial intelligence (AI) is the science and practice of designing software and intelligent systems that behaves intelligently as opposed to natural intelligence exhibited by humans and animals. The main field of AI is machine learning – the ability for a machine to learn from experience; the machine can analyze data to generate an outcome. Although…
Read MoreThe Reach of Data
Predictive modeling is a process that uses data mining and probability to forecast outcomes. Each model is made up of a number of predictors, which are variables that are likely to influence future results. Once data has been collected for relevant predictors, a statistical model is formulated. As additional data becomes available, the statistical analysis model is validated or revised. Predictive…
Read MoreAccess Innovations Condenses Data Harmony Users Group Meeting to One-Day Online Format Plus Optional Training Day
Access Innovations, Inc., provider of the Data Harmony suite of software solutions, announces their spring 2022 Data Harmony Users Group (DHUG) meeting will be presented in an online format. In a departure from previous years’ meetings, the February DHUG meeting agenda will be packed into one day. Scheduled for Tuesday, February 8, 2022, starting at…
Read MoreBuilding Relationships with Ontologies
The idea of an ontology is that it represents complex relationships among the objects or concepts themselves. The intent of an ontology is to provide a way to connect objects. In computer science and information science, an ontology encompasses a representation, formal naming and definition of the categories, properties and relations between the concepts, data and entities that substantiate one, many,…
Read MoreData Storage: Warehouses and Lakes
A data warehouse is a type of data management system that is designed to enable and support business intelligence activities, especially analytics. Data warehouses are intended to perform queries and analysis and often contain large amounts of historical data. The data within a data warehouse is usually derived from a wide range of sources such as application log files…
Read MoreDigital Environments and Emerging Technologies
Emerging technologies are a huge part of the present and significant role for the future. Artificial intelligence (AI), virtual reality, augmented reality, 5G and blockchain have all evolved and found their niche applications. Each technology is maturing while overcoming challenges. The technologies’ timeline of progress will likely converge over the next several years. In that…
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