Management Consultant
Artificial intelligence is the darling of the moment for the technology press and the corporate meme-stream. So much so, it’s forcing some CFOs into tough discussions with executive teams that are overly anxious to gamble with current assets in hopes of gaining future competitive advantages.
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Artificial intelligence (AI) is a fast-moving technology with a long road ahead of it. For all its surrounding hype, AI is still in its infancy.
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I held a podcast this week with Supply Chain Management Review on the topic of Artificial Intelligence in Planning.
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Artificial Intelligence progress has been uneven in the past 5 decades, with spurts of breakthrough followed by “winter-like” periods of stagnation. Barriers like technology cost, organization capability and ineffective policies held back AI from going mainstream.
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Last week, I facilitated a cross-functional workshop with The World Economic Forum, and several tech startups (Noodle A.I., Rage Framework, Enterra) to investigate the impact of Artificial Intelligence (AI) on global production and value chain.
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Advances in digital technologies such as the Internet of Everything, Deep Learning, 3D Printing and Big Data are expected to disrupt business models and their respective supply chains.
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