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Research: U.S. Businesses Not Ready for Machine Learning, Decision Automation

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CHICAGO, Feb. 6, 2018 /PRNewswire/ — U.S. businesses want to capitalize on emerging technologies like machine learning and artificial intelligence, which have the power to revolutionize how companies operate. But the legacy technology tools businesses rely on may hinder or even prevent them from doing so.

Those are the findings of a recent commissioned study conducted by Forrester Consulting on behalf of Enova Decisions, in which 100 business leaders were asked about their views and plans for these emerging technologies.

The study points to a critical preparedness gap. Between 78 and 90 percent of respondents expect to use AI, machine learning, real-time event processing and constraint-based programming within the next two years. However, 42 percent of business leaders say their current decisioning software is incapable of integrating with today’s emerging decision automation technologies. The study concluded that top-cited misgivings with these legacy tools, such as high cost and complexity, are bound to worsen as companies rapidly adopt emerging technologies.

To overcome these challenges, company leaders are evaluating platforms with real-time decision-to-action cycles as a solution. In fact, 81 percent of respondents say such a platform would be valuable to their digital transformation goals.

“Firms need solutions capable of integrating with existing technologies and automating across the customer lifecycle,” the study stated. “Decisioning platforms that work in real time to optimize decision-to-action cycles are of high value because they will alleviate integration challenges.”

Adoption of emerging tools is already underway and is expected to increase rapidly, with 31 percent of firms currently using AI, 41 percent using machine learning, 47 percent using constraint-based programming and 48 percent using real-time event processing to help make operational decisions. By 2020 those numbers will jump to 78 percent, 81 percent, 86 percent and 90 percent, respectively.

“Legacy technology doesn’t have to be a roadblock for U.S. businesses looking to fully reap the benefits of automated decisioning, machine learning and AI,” said Sean Naismith, head of analytics services at Enova Decisions. “Business leaders can leverage digital decisioning platforms that enable real-time predictive analytics to deliver results now while ensuring seamless integration with technologies of the future.”

Other findings from the study include:

Respondents note that the automation of operational decisions is important to executing on digital strategy (77 percent); when asked what business benefits they’ve experienced as a result of automating operational decision making, 50 percent of business leaders cite a

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