DECEMBER 20229The intelligent machines economics is an unstoppable force. Intelligent machines are expected to propel revenue growth while gathering costs downworking with intelligent machines during the same period.· The intelligent machines economics is an unstoppable force. Intelligent machines are expected to propel revenue growth while gathering costs down. Leaders are bullish on unlocking new performance thresholds, with expectations for a 20 percent increase in workforce productivity in the following five years.· The message is loud and clear: Invest or be left behind. On average, companies plan to spend 13.5 percent of their revenue on developing and managing intelligent machines in the next five years. The more you invest, the more you make.· Preparation for change is crucial. Only 35 percent of the organizations we surveyed feel fully prepared to handle working with intelligent machines, and only 42 per cent are confident about their ability to integrate AI with existing business processes. The foremost three challenges are misalignment of workforce strategy with business goals (72 percent), lack of IT infrastructure readiness (71 per cent) and a shortage of required talent and knowledge (70 percent). BalanceAs AIs ensure their reachable conclusions through processes that are opaque, which are known as the so-called black-box problem, they require human experts in the field to the explanation of their behavior to non-expert users. These are called `Explainers' particularly important in evidence-based industries, such as law and medicine, where a practitioner needs to understand how an AI weighed inputs into sentencing and medical recommendation.Explainers are equally important in helping insurers and law enforcement understand why an autonomous car took actions that led to an accident or in words - failed to avoid one. And explainers are developing as integral in regulated industries--indeed, in any consumer-facing industry where a machine's output could be challenged as unfair, illegal, or just plain wrong. For example, the European Union's new General Data Protection Regulation (GDPR) empowers consumers with the right to receive an explanation for any algorithm-based decision, such as the rate offered on a credit card or mortgage.
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