ML

The ongoing automation of repeatable process-based jobs, along with the augmentation of the world of knowledge workers by machine learning and AI will give rise to a new class of super-jobs. That’s a key finding in the newly released 2019 Global Human Capital Trends report from Deloitte which argues that

Companies are being urged to consider the ethical implications of their AI ambitions to ensure that as the technology increasingly embeds itself in our lives, it doesn’t take away the values society holds dear. “Technology may let us do new things quicker, faster and cheaper, and easier, but at the

Retailers are already really good at automating their back-office operations and have proven themselves more than keen and willing to invest in technology that will drive productivity and efficiency, especially when eliminating manually-intensive and error-prone human tasks. Sign up for Which-50’s Irregular Insights newsletter They have no problem spending money

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Artificial intelligence deployments are rapidly accelerating around the world and organisations in APAC are particularly enamoured with the technology, according to new research from Gartner. But AI applications remain relatively basic and a considerable talent shortage exists. Sign up for Which-50’s Irregular Insights newsletter The percentage of organisations implementing artificial

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Artificial intelligence has evolved to become one of the most overused and misunderstood terms in business while also offering the potential to be the driving force in business decision-making, automation, and scalability. Now is the time to develop strategies that set your business up for success for years to come.

Data and analytics have enormous potential to improve public policy and services by helping governments focus their resources in the areas where they will be most effective. However the risk of deploying machine learning systems which unfairly impact humans lives, because they’ve inherited biases from their human designers, means a

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“Data science is a fusion of artificial intelligence and business knowledge.” That’s the view of Hosein Alizadeh, data science team leader at Wesfarmers, who argues successful analytics programs require business people and data scientists to work collaboratively in order to realise the value data can bring to their business. “The

One in a million

With a history that traces back to World War Two, analytics isn’t a new discipline for government agencies. What has changed, however, is the access to data and computing power to process it rapidly. Those forces are driving the application of artificial intelligence and machine learning across departments dealing in

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The impact of machine learning is likely to be rapid for those who have their technology house in order. It is a truism of the technology industry – first identified by Bill Gates the Microsoft founder – we often underestimate how long a new technology needs to take hold, and

Machine learning and artificial intelligence will have a radical impact on enterprise software and the changes are already underway at a frightening pace. That’s the view of Adrian McDermott, president of products at Zendesk. He argues much of what enterprise software systems do is relatively repetitive and can be improved