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Landing AI: Unlocking The Power Of Data-Centric Artificial Intelligence

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Artificial intelligence (AI) has been hugely transformative in industries with access to huge datasets and trained algorithms to analyze and interpret them. Probably the most obvious examples of this success can be found in consumer-facing internet businesses like Google, Amazon, Netflix, or Facebook. Over the last two decades, companies such as these have grown into some of the world's largest and most powerful corporations. In many ways, their growth can be put down to their exposure to the ever-growing volumes of data being churned out by our increasingly digitized society. But if AI is going to unlock the truly world-changing value that many believe it will – rather than simply making some very smart people in Silicon Valley very rich – then businesses in other industries have to consider different approaches.


Landing AI Secures Funding to Unlock Power of Small Datasets, Unleashing Next Era of AI

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Landing AI, which provides tools that make building and deploying AI systems in manufacturing faster and easier than ever, announced Series A funding of $57 million led by McRock Capital, the first investment firm focused exclusively on the Industrial IoT. In addition, New York-based global private equity and venture capital firm Insight Partners, Taiwania Capital, Canada Pension Plan Investment Board (CPP Investments), Intel Capital, Samsung Catalyst Fund, Far Eastern Group's DRIVE Catalyst, Walsin Lihwa, and AI Fund all participated in the round. Landing AI, led by artificial intelligence visionary, Andrew Ng, developed LandingLens, a fast, easy to use enterprise MLOps platform. It applies AI and deep learning to help manufacturers solve visual inspection problems, find product defects more reliably, and generate business value. Landing AI sees the next era of AI as one in which all companies access the benefits of AI--not just consumer internet companies like Google and Facebook--but legacy industries such as manufacturing, healthcare, and agriculture.


Landing AI Secures $57m on Series A for MLOps Platform

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PALO ALTO, Calif., Nov. 8, 2021 -- Landing AI, which provides tools that make building and deploying AI systems in manufacturing faster and easier than ever, today announced Series A funding of $57 million led by McRock Capital, the first investment firm focused exclusively on the Industrial IoT. In addition, New York-based global private equity and venture capital firm Insight Partners, Taiwania Capital, Canada Pension Plan Investment Board (CPP Investments), Intel Capital, Samsung Catalyst Fund, Far Eastern Group's DRIVE Catalyst, Walsin Lihwa, and AI Fund all participated in the round. "Landing AI will unleash the power of the Industrial IoT one company, one factory, and one manufacturing line at a time." Landing AI, led by artificial intelligence visionary, Andrew Ng, developed LandingLens, a fast, easy-to-use enterprise MLOps platform. It applies AI and deep learning to help manufacturers solve visual inspection problems, find product defects more reliably, and generate business value.


MLOps platform Landing AI raises $57M to help manufacturers adopt computer vision

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Learn more about what comes next. Palo Alto, California-based Landing AI, the AI startup led by Andrew Ng -- the cofounder of Google Brain, one of Google's AI research divisions -- today announced that it raised $57 million in a series A funding round led by McRock Capital. In addition, Insight Partners, Taiwania Capital, Canadian Pension Plan Investment Board, Intel Capital, Samsung Catalyst Fund, Far Eastern Group's DRIVE Catalyst, Walsin Lihwa, and AI Fund participated, bringing Landing AI's total raised to around $100 million. The increased use of AI in manufacturing is dovetailing with the broader corporate sector's embrace of digitization. According to Google Cloud, 76% of manufacturing companies turned to data and analytics, cloud, and AI technologies due to the pandemic.


AI world has room for both US and China: ex-Google and Baidu insider

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One of the few researchers who has led the development of artificial intelligence in both the U.S. and China dismisses the notion of an "AI race" between the trade war foes and thinks they could even learn from each other. Andrew Ng, the former leader of the AI teams at Baidu and Google Brain, told an event in San Francisco on Thursday that the two countries have their own advantages in developing AI. The U.S. still has the edge in fundamental research, he said, but Chinese companies have easier access to the consumer market thanks to Beijing's national AI strategy, which promotes the spread of the technology. At the same time, he said, the gap in awareness of data privacy between the two is narrowing. Ng had high praise for China's strategy and suggested other nations should follow suit and devise their own game plans.