{"id":2218,"date":"2017-10-28T10:49:00","date_gmt":"2017-10-28T10:49:00","guid":{"rendered":"http:\/\/localhost\/projects\/horsesforsources\/state-automation-report_101717\/"},"modified":"2017-10-28T10:49:00","modified_gmt":"2017-10-28T10:49:00","slug":"state-automation-report_101717","status":"publish","type":"post","link":"https:\/\/www.horsesforsources.com\/state-automation-report_101717\/","title":{"rendered":"The State of Automation and AI Study 2017: 400 operations leaders air the real deal"},"content":{"rendered":"

Finally, we can stop freaking out at all these lovely projections, such as “AI will eliminate 1.8M jobs but create 2.3M<\/a>” in the next couple of years, and “47 percent of total US employment”<\/a> being at risk and “AI being possibly the last event in human history”<\/a>.  Oh, and who can forget that recent whopper, “96% of clients are getting real value from RPA”.<\/a><\/p>\n

We got so sick of this nonsense, we just went out and surveyed 400 enterprise automation and AI decision makers across the Global 2000, split across IT and business operations functions, and hit them with some very straight poignant questions about their attitudes, satisfaction levels and genuine plans for both AI and Automation across their business operations.<\/p>\n

But let’s start with the hype: AI and Machine Learning is now one of the most critical strategic directives being dictated from the C-Suite onto the operations function<\/strong><\/p>\n

81% of operations leaders are feeling the pressure from their bosses to reduce the reliance on mid\/higher skilled labor, viewing AI and Machine Learning as increasingly important or even mission-critical directives to drive this. Only cost reduction beats this out as a priority, but as we all know, we can’t reduce costs much further without investing in our digital underbellies:<\/p>\n

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Click to Enlarge<\/a><\/em><\/p>\n

What’s clear is that enterprises are frantically evaluating their talent (81%) and looking to collapse these silos in the middle\/back offices to improve their customer experiences.  And they see AI, Machine Learning, and process automation as the levers to achieve this. <\/p>\n

So let’s summarize the key findings from the study, and you can download your copy here<\/a> :<\/strong><\/p>\n