Digital | Supply Chain | eComm
AI is the darling of the moment 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. How can companies avoid overspending in AI?
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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 AI in Planning.
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AI progress has been uneven in the past 5 decades, with spurts of breakthrough followed by “winter-like” stagnation. Barriers like technology cost, organization capability and ineffective policies held back AI from going mainstream.
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I facilitated a cross-functional workshop last week with WEF and several tech startups (Noodle A.I., Rage Framework, Enterra). We explored the impact of Artificial Intelligence (AI) on global production and value chain. This is part of our on-going collaboration on the World Economic Forum Future of Production initiative.
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Advances in digital technologies such as the Internet of Everything, Deep Learning, 3D Printing and Big Data are disrupting business models and their respective supply chains.
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