- Azure CTO Mark Russinovich tells us why machine learning and big data can push the cloud industry further than ever before
Machine learning and big data will transform every industry as IT moves towards a cloud-based business, according to the chief technology officer (CTO) of Microsoft’s Azure cloud business.
- The fall in storage prices and explosion of data created by new computing power have both been key factors in driving innovation, and thanks to its rapid increase, the cloud industry is really helping ‘democratise’ machine learning, making it available in more industries than ever before, according to Russinovich.
- This will lead to more and more cloud providers offering machine learning as a service products and IoT management services, both of which Azure has led the way on, releasing its IoT Suite last week to give users a way to centralise and make use of all their data.
- The growth of the Internet of Things (IoT) has also been helped by the cloud, Russinovich noted, as apps and services need a central location to pump all of their data into before it can be analysed and utilised, as well as accessed and controlled.
- Speaking to TechWeekEurope at IP Expo this week, Mark Russinovich explained he is a keen believer in the power of machine learning and big data, an area which already starting to drive innovation and have a real impact on both businesses and people’s lives.
“If you have this access (to big data) what can you do with it, and what problems can you solve that you couldn’t solve before?” he said. “And how do you take advantage of it?
“Every vertical is going to be disrupted by machine learning and big data,” he added. “Every one of these businesses is going to be disrupted by this – and if you’re not doing it, your competitors are going to leave you behind.”
Cyber security firms, financial systems, search engines and home automation are all areas that are using machine learning to see major improvements, and the power of Azure and other cloud systems could prove that there are no limits to where this innovation can go.
Date: October 9, 2015
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