AI-POWERED ANALYTICS
“ By investing in these next-gen forms of analytics , vast amounts of data , which would otherwise be wasted , can be transformed into a highly valuable asset ”
AI-POWERED ANALYTICS
The premise of AI-powered analysis is rooted in the goal of designing technology that can perform tasks normally reserved for people . According to SAS , machine learning forms an independent subset of AI and focuses on training a machine to identify patterns in data and then ‘ draw conclusions ’ from it in a similar way to the human brain . First , machines are given ‘ inputs ’ and their associated ‘ outputs ’ in order to generate a prediction algorithm . Next , they are presented with a new input and use the set algorithm to predict an output - the ultimate goal being to refine the algorithm until the error margin between the machines ’ prediction ( called the ‘ cost function ’) and the actual output is as close to zero as possible . Therefore , machinelearning-based analytics represents a cycle : data is collected , an algorithm is formed and used to make a prediction , the result is collected and analysed , repeat ad nauseam .
By investing in these next-gen forms of analytics , vast amounts of data , which would otherwise be wasted , can be transformed into a highly valuable asset . “ By analysing the usage , the channel can begin to take a number of actions . For example , the data can give resellers and systems integrators an understanding of what challenges their customers are encountering and what additional services they might need
DID YOU KNOW ?
1.7MB of new information is created every second for every person on Earth in 2020 , with an approximate total of 40 zettabytes ( 40 trillion gigabytes ) globally
41 asia . businesschief . com