Big data is no longer new and not the same beast it once was. It has evolved to become the driver of digital insights for a new generation of business. This interesting information came to us from Silicon Angle in their article, “Big data gets smart as AI powers the next ‘step function’ in industrial productivity.”
The term big data first emerged fifteen years ago to put a name to the increasingly large, diverse and complex volumes of data that could not be easily managed by traditional data management practices. However, as digital transformation became more prolific, big data has emerged as a primary fuel for the journey.
The ability to analyze vast amounts of structured and unstructured data to gain insights, often in real time, is what underpins most digital transformation efforts. Mapping big data’s move from static lakes to actionable insights are semantic layers that simplify digital transformation by providing businesses with a logical view of their data resources.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.
