AI and the New Data Refinery for the Edge Continuum
In 2017, The Economist published an article about The Fuel of the Future: Data Giving Rise to a New Economy. Today, this is more true than ever, and prospecting for new data, in the form of new applications and various sensor-driven data acquisition continues at a rapid pace. According to Cisco, in 2020, we generate ...
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AI’s Shocking Carbon Footprint
AI’s Shocking Carbon Footprint How Techniques First Invented in the 1920s are Changing That Introduction What do the melting glaciers of Greenland have in common with artificial intelligence? On the surface, not much. But if you dig just a bit deeper, the connection is scarier than you might imagine. Turns out that data is not ...
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The Era of Commercializing AI, Part Two
Supporting Efficient Workflow for Commercializing AI At the early stage of AI commercialization, we are faced with the “dark ages” of tools, infrastructure, and approaches. There are many analogies that we can draw upon to understand where we truly are at this moment. For example, in the early days of the Internet, everyone was building ...
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The Era of Commercializing AI, Part One
Beyond the Valley of Innovation Death Rapid success in deep learning algorithms has spawned new applications in video analytics, speech processing, and natural language processing. New smart products with compelling user experience, driven by the power of AI, can create safer human environments, allows us to work more efficiently, and helps to make communication easier. ...
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AI Moves to the Edge
Edge is Where the Opportunity is and Why AI Needs to Evolve This is a 2-part series on the impact of AI on the edge as compared to the core, and why the approach to building AI algorithms needs to change if they are to operate more efficiently on the edge Introduction From enabling autonomous ...
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