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Tag: Machine Learning (ML)

Working towards better data management

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Big data is seeing organisations becoming more mindful of aligning their data management practices with newer paradigms such as data lakes, elastic and cluster computing, and real-time data. As such, the cloud provides an environment capable of managing the volume and scale required to do so.

Surviving the Digital App-ocalypse 

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The modern smartphone user has an average of 35 mobile applications installed on their devices. However, only 5 of these are used most often, and many of them are removed after the first use. It seems like a paradox: people are sick of downloading apps, but apps are more popular than ever.

Cyber security requires a new approach

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From digital transformation through to the arrival of the Fourth Industrial Revolution (4IR), decision-makers are changing their views on how technology can benefit the organisation. But while much attention is placed on things like data analysis, the cloud, and automation, cyber security has fallen by the wayside.

AI 20/20 – a vision for your external engagement?

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Artificial intelligence (AI) is one of the key pillars of the Fourth Industrial Revolution, which is transforming and digitizing everything from backend customer service centres to procurement and supply chain management. In fact, AI capabilities are increasingly being embedded throughout organisational structures, opening up a new digital frontier that most companies, both large and small, are still grappling with on a day-to-day basis.

Workplace 2025 – where humans and machines coexist

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The world is undergoing its biggest transformation ever. As emerging technologies such as Artificial Intelligence (AI) enter workplaces, human talent is grappling with an existential crisis.

Tapping into an open source eco-system critical in 2019

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There are some big things set for 2019. Customer expectations continue to evolve, new technologies are developed to push the envelope and all of that leads to continuous transformation of our business, our people, our processes and of course, the technology and infrastructure.

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