Knowledge extraction is the creation of knowledge from structured (relational databases, XML) and unstructured (text, documents, images) sources. The resulting knowledge needs to be in a machine-readable and machine-interpretable format and must represent knowledge in a manner that facilitates inferencing.…
Normally, data transfer between programs is accomplished using data structures suited for automated processing by computers, not people. Such interchange formats and protocols are typically rigidly structured, well-documented, easily parsed, and keep ambiguity to a minimum. Very often, these transmissions…
Data Mining is an analytic process designed to explore data (usually large amounts of data – typically business or market related – also known as “big data”) in search of consistent patterns and/or systematic relationships between variables, and then to…
Business forecasting is an essential part of running a successful, sustainable business. Being able to predict (with as much certainty as possible) and prepare for whatever is coming around the next corner ensures that your business has the maximum chance…
In today’s always-connected economy, businesses need to provide real-time services to customers that utilize vast amounts of data. Successful businesses are changing how they build applications—from monolithic architectures to cloud native architectures: distributed systems of microservices, containers, and data services.…
