5 things to know about getting started with AI, machine learning

ACCORDING to Oliver Wyman Forum's inaugural Global Cities AI Disruption Index, Singapore topped the list of 105 cities most ready for AI disruption, thanks to its strong performance in the vision category, which measures the presence of plans to respond to technology changes and plans to upgrade labour skills and infrastructure such as mobile networks. Indeed, companies across Asia-Pacific are investing billions of dollars on artificial intelligence (AI) and machine learning (ML) - with good reason.

These technologies deliver real business-altering potential and for these reasons, Gartner's Enter the Age of Analytics report predicts that by 2023, AI and deep-learning techniques will be the two most common approaches for new applications of data science. But despite the promise, few companies have been able to successfully implement and deploy this technology as part of their overall data and analytics strategy. According to Deloitte's State of AI in the Enterprise 2nd Edition Survey, only 41 per cent of companies in Asia-Pacific are using AI, while less than one-third of sales teams have put AI systems into action. At the same time, the results of a global survey by software in…