While Augmented Reality (AR) is gaining significant attention as one of the Industry 4.0 technologies that will revolutionize supply chain, we believe it is important to look beyond the hype and qualify the true potential and challenges. The value of AR is directly tied to its ability to impact human workforce experience and performance. Consider…
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2013 was a watershed year for Industry 4.0, moving from the concept pages of the German Academy of Engineering to becoming strategic pillars of investment across governments and enterprises. Half-way around the globe that year, deep learning neural nets achieved human level accuracy at the ImageNet image classification benchmark for the first time in history,…
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I recently contributed to a series of five bylines along with my colleagues examining the strategic implications of A.I. on the enterprise – from strategy, to leadership to the future of the workplace. 1) Data Insights Are Driving the AI Landscape: As AI cloud services go mainstream, the seemingly infinite promise of artificial intelligence could soon…
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Unexpected conditions continually disrupt operational performance. Further, demands on supply chains are ever increasing as companies vie to deliver more personalized products, with faster lead time, at a lower cost.
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Even today’s most sophisticated supply chains still try to predict what will happen, then optimize performance against plan. The problem is, the world is not predictable. It is filled with the unforeseen. To meet soaring customer demands in this erratic world, companies need to build a whole new kind of supply chain, fast.
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Digital transformation?? Oh, not again! Everything seems to be a digital transformation today and there’s nothing left under the sun that hasn’t been written about such disruptive change.
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利用机器学习能力，来改善并自动化业务流程，人工智能将在不远的未来释放出巨大的潜力。 作者：Michael Hu，科尔尼全球合伙人 | 翻译校订：李健，科尔尼全球合伙人
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While A.I. and machine learning has made rapid progress in consumer facing applications such as Amazon Alexa, playing Go, and making art, its deployment across the enterprise is still emerging and uneven.
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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
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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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In our recent article “US E-Commerce Trends and Impact of Logistics”, we assess the current state of the last mile fulfillment market and also key emerging trends shaping future implications.
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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. For years, barriers like technology cost, organization capability and ineffective policies held back the AI from going mainstream. Yet, this trend shifted starting in 2005
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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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Machine Intelligence has made significant advances recently in areas of supervised learning such as image and speech recognition, question & answering and shopping recommendation.
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