Management Consultant
Computer vision is the lynchpin of the current AI/machine learning (ML) renaissance. In 2013, deep learning neural nets crossed a historic milestone of achieving human level accuracy at the ImageNet image classification benchmark and the pace of algorithm sophistication, training data proliferation and performance has accelerated even faster. The majority of AI/machine learning powered solutions…
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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.
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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.
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Demands on supply chains are ever increasing as companies vie to deliver more personalized products, with faster lead time, at a lower cost. Further, unexpected execution conditions continually disrupt operational performance.
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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. It’s Not a…
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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. Intelligent systems have moved from simple, rule-based tasks such as spell-check into narrow machine-learning activities such as predictive maintenance and work automation, but they remain far from their ultimate destiny as…
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I gave a panel presentation at the Bernstein “Motor of eCommerce” Conference last week in London. We discussed two trends that will significantly impact on the eCommerce supply chain dynamics in the near term horizon
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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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One question we often get from clients is “Will Amazon disrupt my sector next”? – be it in Fresh, CPG, Beauty, Apparel, or even Industrials.
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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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