The numerous reports on the growth, potential and effects of artificial intelligence (AI), IoT, and machine learning have caused many businesses to question what it will all mean for them.
Australian oil and gas giant, Woodside, has embraced a range of technology from data analytics and cognitive computing to 3D printing and artificial intelligence (AI) in a bid to deliver greater insights, help reduce costs and ensure high production performance and reliability.
Trials now complete, the federal government agencies that were early adopters of IBM’s cognitive computing platform Watson are considering its future use.
The ‘cognitive era’ has arrived says IBM CEO Ginni Rometty, who was in Sydney yesterday to demonstrate the potential uses of Big Blue’s cognitive computing technology Watson.
IBM is using the cognitive analytics capabilities of Watson to ingest the company’s DNS logs and traffic passing through its global network to identify cyber issues.
Government agencies responsible for deploying the technology that will drive the National Disability Insurance Scheme (NDIS) will soon gain access to the cognitive computing capabilities of IBM’s Watson.
Technology is shifting to intelligent machines with a capability to reason, said IBM Chairman and CEO Virginia Rometty at Gartner's Symposium ITxpo. These machines won't replace humans, but will augment them. It is a technology that will transform business, she said.
Cognitive computing is being touted as the next technology transformation and breakthrough in how to process growing reams of unstructured and ambiguous data sets.
IBM has published a study that outlines five focus areas where advancements in cognitive computing could be made to make it more robust in future.
IBM is investing $US1 billion in its IBM Watson Group with the aim of creating an ecosystem of startups and businesses building cognitive computing applications with Watson. Here are 10 examples that are making an impact.
Deakin University will use IBM's Watson system to transform the way 50,000 students get advice and answers to questions.
IBM's supercomputer is ready to make the leap from analyzing massive data sets to actually helping us make the right decision. But will we be too proud to take Watson's advice?