The potential for AI to improve business performance and competitiveness demands a different approach to managing data lifecycle. Kurt Kuckein, director of marketing at DDN examines the five key areas to consider when creating an AI platform that will not only provide
Organisations have high expectations for digital transformation, but new research from SnapLogic has uncovered that 40% of enterprises are either behind schedule with their digital transformation projects or haven’t started them yet.
When it comes to crunching huge amounts of data, technology will always reign supreme, and the future of the data centre most certainly lies in the machine rather than the man. But are we ready to put so much faith in technology?
New research by Exasol has revealed that only 30% of organisations have invested in on-demand cloud processing to grow their artificial intelligence (AI) and machine learning capabilities.
A new survey from DigiPlex and IDG Connect has revealed dramatic shifts in business attitudes and awareness in a time of incredible digital transformation.
SolarWinds, a provider of powerful and affordable IT management software has announced the findings of its ‘IT Pro Day 2018: A world powered by tech pros’ survey.
The Internet of Things (IoT) is shifting the AI strategies of traditional companies. To remain competitive, organisations need to adopt IoT technology along with data science teams to interpret the enormous amount of data.
A new survey has found that the majority of IT managers, 68% in fact, are working with or considering AIOps, or artificial intelligence for IT operations.
If reports are to be believed, Google has been busy testing an AI algorithm which can learn how to cool down a system, in order to keep the power consumption as minimal as possible.
On Wednesday, Google announced it is building its third data centre in Singapore, likely adding another US $350 million to its investment here.
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