Obviously, the vast potential of cognitive computing technology is balanced by significant risks and caveats that might impede adoption. Some of the challenges and limitations that cognitive computing ...

Risk management should be consulted to ensure that data security, privacy and legal issues are addressed, and HR must be part of the conversation to grapple with the workforce management implications ...

IBM's Watson system is being tested to see if a cognitive computing system can make us more creative by coming up with new ideas and solutions. If the pinnacle of human intelligence is said to be ...

The technology is rather mature, Dickinson says, and cognitive computing's major challenges are now more awareness and uptake than technical limitations. ”That's the problem with many ...

Ironically, applying cognitive computing to solving complex compliance challenges opens the door for applications that mitigate the ability to invade citizens’ privacy, or what Estes calls ...

It also highlights key areas to watch over the future along with detailed insights into drivers and challenges across different Healthcare Cognitive Computing applications and products.

Focus on ethical AI and transparency in cognitive computing applications. Top Challenges High implementation costs deterring adoption by small and medium enterprises. Data security concerns ...

Cognitive computing is an all-encompassing AI that ... In addition, instead of just solving today’s known challenges, a cognitive digital strategy breaks through the limited information ...