Analytics2Go September 2020 Humans have to test AI solutions to judge their efficacy and benefits. There is much consternation nowadays regarding the inevitable loss of millions of jobs to AI. Often the doom and gloom revolve around robotics and automation of repetitive tasks taking over everything from warehouse operations to decision making. Our experience tells us something different. Although it is true that robots in warehouses don’t run out of energy and process automation doesn't "do lunch," there are still many touchpoints in any AI-driven business process that will require AI/HI (artificial intelligence/human intelligence) collaboration. While the former offers speed, scalability, and quantification, the latter is equally valuable for its leadership, teamwork, social skills, and creativity.
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Who will emerge as the influencers of the future? Well, perhaps we need to rephrase that to “what” will emerge as the influencers of the future? And how and why will they do so?
“They just don't understand me. I provide them with all the necessary details, all the data and analysis possible, but they don´t seem to get it.” These were the comments of a data scientist at one of the largest CPG companies in Brazil, as he vented to me over coffee and described how frustrating his last year had been. He was definitely feeling the heat from the business stakeholders. None of the major analytics initiatives that his team had worked on had really taken off, and a lot of resources and time had been spent.