IBM positions cognitive computing as the third and most transformational phase in computing’s evolution, following the Tabulating Era and the Programming Era.
Cognitive Analytics Takes on Traditional Software
Traditional software systems (like ERPs, email systems, and productivity tools like Microsoft Excel) are all products of the Programming Era. They are deterministic. If given the same inputs, they will always produce the same outputs.
Cognitive computing, on the other hand, is probabilistic. Without explicit programming, cognitive computing systems can:
- Analyze large quantities of structured and unstructured data
- Parse the data into meaningful units
- Infer relationships between data sets in ways that have demonstrable practical use
- Interact with humans naturally in a symbiotic partnership
Applying Cognitive Analytics
Although cognitive computing is still a very new paradigm, there are already many use cases that prove its business value.
Today, cognitive computing is used by:
- Cancer researchers to identify and personalize treatment options for patients
- Automobile manufacturers to identify the true cause of a product recall
- And many more industries to support mission-critical projects
QueBIT’s Value in Cognitive Analytics
Cognitive computing can be put to work sorting copious quantities of data. QueBIT has significant expertise and experience with helping clients devise data management strategies for both structured and unstructured data through its data warehousing, information management, and big data services.
With data in place, QueBIT can help deploy cognitive computing solutions through:
- Strategic Advisory Services – A management consulting practice tailored specifically for developing a coherent analytics strategy
- Watson Explorer – A tool for organizing and exploring information including “dark data” that is hard to access
- Watson Developer Cloud – A set of APIs and programming tools for building apps that can read, hear, talk, see, and learn