Understanding Semantic Search
Semantic technology is a frequent topic of conversation in the information science world. Machine learning or semantic technology is the basis for most commercial […]
Understanding the Data
Genomic data are primarily used in big data processing and analysis techniques. Such data are gathered by a bioinformatics system or a genomic data […]
KMWorld Recognizes Access Innovations on 100 Companies That Matter Most in Knowledge Management List for Eighth Time
Access Innovations, Inc. has been included in the prestigious KMWorld 100 Companies That Matter in Knowledge Management list for the eighth time.
The KMWorld website […]
Navigating the Data with Taxonomies
Most organizations today face challenges as they accumulate volumes of data on premises and in the cloud. How do they begin to locate what’s […]
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 […]
Comprehensive 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 […]
Access 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. […]
Being 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, […]
Artificial 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 […]
The 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 […]