Introduction Intelligent agents constitute task-oriented software that use artificial intelligence (AI) to achieve ...

Data is not just information. It is an asset — and it’s time our laws, markets, and institutions recognized it as such.” The ...

Not all data is created equal. Unlike structured data, which resides in well-defined fields and tables, unstructured data ...

Taking immediate action on sensor data is vital in modern Internet of Things (IoT) systems. Real-time streaming serves as the… ...

We are living in the age of a data revolution, and more corporations are realizing that to lead—or in some cases, to survive—they need to harness their data wealth effectively. The data warehouse, due ...

It would be hard to imagine a data model that didn’t include persons, either as individuals or as groups. Models contain people in one of two ways: as organizational structures or as playing roles in ...

The field of data mining, like statistics, concerns itself with “learning from data” or “turning data into information”. In this article we will look at the connection between data mining and ...

There is a movement in the business and academic worlds to consider relabeling the name of the long-time data discipline of “Data Governance” to “Data Enablement”. Usually, when someone tells me ...

I was recently asked to present “Enterprise Ontology Design and Implementation Best Practices” to a group of motivated ontologists and wanna-be ontologists. I was flattered to be asked, but I really ...

We are in the era of graphs. Graphs are hot. Why? Flexibility is one strong driver: heterogeneous data, integrating new data sources, and analytics all require flexibility. Graphs deliver it in spades ...

The quality of data used in business is more important now than ever before. Accordingly, in order for organizations to deliver good business results, their data must be accurate, and the use of that ...

Entity relationship diagram (ERD) is one of the most widely used technique for data modeling. An ERD developed during the conceptual data modeling phase of the database development process is ...