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Organisations across the globe are caught in the midst of a digital revolution – one that has sent shockwaves rippling through every industry. Business leaders recognise the scale and pace of change: 68 per cent of executives surveyed by Accenture say that they expect their industry to be significantly disrupted
A speaker at a recent major tech event quipped that “they will only call it AI until it is useful”. The point was that AI for the sake of AI is pointless, and can even be counter-productive. As soon as someone conceives and develops an actual use case, they name
More and more business applications, including advanced analytics, are moving into the cloud. The advantages are obvious: agility, innovation and cost-efficient high performance. However, many cloud migrations fail to unlock its full potential. To maximize the performance and value of analytics in the cloud, companies need to balance options and
Some people still associate artificial intelligence (AI) with robots taking over the world. There's a lot of hype around self-driving cars and personal robots. However, there are far more realistic and beneficial examples of AI in everyday life. AI is the science of training systems to emulate human tasks through
Technology is transforming our lives. It's revolutionising the way we buy groceries, send gifts, listen to our favourite music, communicate with loved ones, and much more. Because it's so convenient and ubiquitous, we expect ultra-fast and highly personalised services from all the companies we engage with. As a result, businesses
Large organizations are seeing an increase in the number of applications that are migrating to the cloud. SAS is a global organization with travel expense accounting, personnel management and IT support as cloud applications. But when should analytics applications move to the cloud? Here are five reasons why you should