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Mission-Driven Public Relations and Strategic Marketing Agency | Gabriel Marketing Group
About James Taylor
Description: James Taylor on Everything Decision Management
Eric Siegel, author of Predictive Analytics and the Chair of Machine Learning Week , had a great article on Harvard Business Review recently – The AI Hype Cycle Is Distracting Companies . You should read it, as he makes a lot of great points about AI hype and its dangers. One comment, in particular, stood out for me though:
Most practical use cases of ML — designed to improve the efficiencies of existing business operations — innovate in fairly straightforward ways. Don’t let the glare emanating from this glitzy technology obscure the simplicity of its fundamental duty: the purpose of ML is to issue actionable predictions
This focus on improving existing business operations in a straightforward way is critical. We see a lot of companies spending a lot of money on ML and AI. Much of it is wasted because the ML/AI team, keen to show how smart they are and to justify the investment, insists on putting all their effort into “transformational” projects or “new businesses”. The potential for ML to improve their current business in meaningful but boring ways is ignored. These ML/AI teams are often more focused on using the coolest
BPMS.ru - все о BPM, RPA, цифровой трансформации и гиперавтоматизации
Mission-Driven Public Relations and Strategic Marketing Agency | Gabriel Marketing Group
About James Taylor