ML

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. They have no problem spending money to save money when it comes to

Human, robot, AI, ML

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. The percentage of organisations implementing artificial intelligence has tripled in the past 12

robot, AI, chalk board

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

analytics, data, business, whiteboard

“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

leadership, growth, arrow, acceleration

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

I was once asked by a CIO to help him present to his board, on why they wanted to become data-driven. After five minutes of my planned 10 minute presentation (that lasted about 30 mins) a board member and I concluded that based on what we had heard outside that

Should artificial intelligence be regulated? The answer is always ‘it depends’. That’s the view of data expert Ellen Broad, the author of a new book exploring the ethics behind AI and automated decision-making. Made by Humans: The AI Condition argues in favour of some form of AI regulation, but Broad