Uber-like platforms will soon provide on-demand fulfillment, warehouse, and logistics services everywhere. Are you ready?
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What is the Case for Machine Vision in Supply Chain?
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 and the pace of algorithm sophistication, training data proliferation and performance has accelerated even faster.
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The Human Element in Digital Industry 4.0
2013 was a watershed year for Industry 4.0, moving from the concept pages 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 for the first time in history, signaling the arrival of truly disruptive enabling technologies.
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What is the Case for AR/VR in Supply Chain?
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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“Sense and Pivot” Supply Chain @ MIT Media Lab
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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Why Future Supply Chains Must Sense and Pivot
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.
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Eight Misconceptions of Going Digital
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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认清这四个现实，绘制完整的人工智能与企业自动化实施路线图
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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4 Facts Every Business Leader Must Know About AI Automation
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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How to Avoid Overspending on AI
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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Will You Embrace AI Fast Enough?
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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AI in Supply Chain Planning – Podcast
I held a podcast this week with Supply Chain Management Review on the topic of Artificial Intelligence in Planning.
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US eCommerce and Impact on Logistics
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 Coming of Age
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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AI + Future of Production with WEF
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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