EXPERT OPINION
Saifuddin Khwaja , Senior Sales Director at Western Digital
with other skill-sets across the business . By expanding existing tools and building a self-service platform , people with no prior training will be able to generate predictive , AI-based analysis . To some extent , anyone in an organisation should be able to fulfil the baseline role of the data scientist .
The future of data centres
As data grows and applications become more complex and diverse , the data centre is desperate for efficiency improvement . Some go as far to say that without AI , many data centres will not be economically or businesses are taking advantage of embedded intelligence , customised AI chips and automation to continue improving the data analytics process . Ultimately , the most successful data centres will strategically deploy AI capabilities across most operations , as well as establishing a smarter , highly efficient and flexible infrastructure . ◊
THE MOST SUCCESSFUL DATA CENTRES WILL STRATEGICALLY DEPLOY AI CAPABILITIES ACROSS MOST OPERATIONS .
Bridging the skills gap
The data science skills gap along with the exponential growth of Machine Learning workloads means that there simply aren ’ t enough data scientists in the world to manage this explosion in data .
To help bridge this gap and reduce the need for human input , AI technology is being made more accessible to people operationally viable . Some of the ways AI tools will assist is by improving resource and service provisioning , cooling and power optimisation and by detecting more cyberthreats .
The technology behind AI brings data to life and it is critical that the wider data centre can support these processes efficiently . As AI continues to develop and data growth accelerates , many
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