Cognitive computing & AI
AI STRATEGY
Moving the tools to the cloud has allowed innovation and experimentation to be faster and cheaper .”
With cheaper and faster innovation and experimentation , cognitive computing platforms , supported by cloud technologies , become a lot more attractive to businesses looking to utilise cognitive computing solutions in their operations . This is particularly significant as more businesses are turning to digital solutions as a way to improve as we emerge from the pandemic . As organisations change and become increasingly digitalised , they are using more cloud-native distributed databases as an underpinning technology and microservices architectures . As these systems are typically Systems of Record or Systems of Engagement , they contain the data needed for cognitive computing .
Walker expanded : “ There is now growing momentum behind developing modern application architectures with cloud-native databases because they are more agile and cost-effective for the business in its day to day work , but the underestimated benefit will be in making that signal data available to cognitive computing - and I believe this will drive growth even faster than most expectations .”
Edge computing enabling faster communication As businesses look to improve their cognitive computing capabilities and cloud technology , edge computing can also be a valuable tool . Edge computing enables instant decision making as it stores and
Cognitive computing & AI
Cognitive computing overlaps with AI and involves many of the same underlying technologies to power cognitive applications , including expert systems , neural networks , robotics and virtual reality ( VR ).
“ COGNITIVE TECHNOLOGIES FORM A LARGE PART OF THE NEXT INDUSTRIAL REVOLUTION ”
KASIA BOROWSKA MANAGING DIRECTOR , BRAINPOOL AI
processes data at the source of a network .
By decentralising data analysis , edge computing provides businesses with a way to improve businesses cognitive computing capabilities . Discussing this , Borowska said : “ By analysing data , generating insights and storing them locally using the processing and storage capability provisioned by the hardware , this can drastically reduce the amount of data flowing across the network thereby reducing latency and compute resources
52 October 2021