▼ Scroll to Site ▼

Newsletters




Best Cognitive Solution


Today, many platforms and solutions being imbued with cognitive computing and artificial intelligence capabilities.

The terms “cognitive computing” and “artificial intelligence” represent capabilities that help to make a new class of problems computable and address complex situations that are often characterized by ambiguity and uncertainty, and help to offload complexity from humans to machines for faster, more efficient, and secure processes.

While the terms are often used interchangeably, Sue Feldman, president, Synthexis, who addressed the topic to cognitive computing versus AI in a session at Data Summit 2019, explained it is essential to know the capabilities each represents and when to use which.

Cognitive computing pillars that are shared with AI include the ability to learn and be adaptive, be probabilistic, and use big data from diverse sources. Characteristics that are specific to cognitive computing include being meaning-based, interactive, contextual, iterative and stateful, and highly integrated. Feldman emphasized that AI is meant to be autonomous with the machine as a substitute for the brain, whereas with cognitive computing, the machine is an agent and partner, an information tool.

Best Cognitive Solution

Amazon AI Services

Finalists

Cloudera

Databricks


Sponsors