December 20198 It depends what you use as an indicator. If benchmarked against North America, Asia of course still has ground to cover. That said, Asian institutions are more advanced in some areas than those in Europe, such as in machine learning (ML) being core to business strategy and the projected growth in numbers of data scientists. At an operational level, the reasons for ML adoption are quite telling. Unlike popular belief that saving money is the primary motivation, Asia (like its counterparts) is driven by the desire to extract better quality information (69 percent), generating trading investment ideas (65 percent), and the desire to increase speed and productivity (65 percent).Although at a macro level, we see that the high regional growth rate, the availability of open source ML technologies and importantly, the growing population with rapid mobile/digital adoption are leading factors making ML become core to strategy in the region.Maturity Drivers of AI and ML InitiativesA push to maturity is determined by the business' sense of urgency, data availability, and scientific expertise. Given Asia's lagging technology adoption, as compared to North America, only when the business environment's competition can be won using an AI/ML strategy, will the technology gain industry-wide GROWTH OF MACHINE LEARNING IN ASIA AND ITS DRIVERSBY SANJNA PARASRAMPURIA, HEAD ­ APPLIED INNOVATION, ASIA, REFINITIVIN MYV EW
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