Global Artificial Intelligence for Enterprise Applications 2016-2025: 31.2 Billion Market Analysis and Forecasts - 200 Use Cases for AI That are Classified Into 25 Industry Sectors - Research and Markets

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The analysis has identified nearly 200 real-world enterprise use cases for AI that are classified into 25 industry sectors. The firm forecasts that revenue for enterprise AI applications will increase from 358 million in 2016 to 31.2 billion by 2025, representing a compound annual growth rate (CAGR) of 64.3%. Artificial intelligence (AI) technologies are quickly gaining mindshare among corporate executives around the world, driving a proliferation of use cases that touch virtually every industry. AI technologies, which include deep learning, machine learning, natural language processing (NLP), and computer vision, among others, are designed to endow computers with human-like faculties such as hearing, seeing, reasoning, and learning. But AI enables computers to do some things better than humans, especially when it comes to processing very large amounts of data quickly, efficiently, and accurately.


Pizza, the unsung agent of the robot revolution

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It wasn't so long ago that the idea of biped or quadruped robots delivering pizzas seemed like a real possibility. Such speculation was fuelled by Google's acquisition of Boston Dynamics--a company more associated with potential military applications, which earned notoriety for its scarily nimble Big Dog robots. Google, and then its parent company Alphabet, had to work out how to bring this technology to civvy street--a problem that certainly gnawed at the development team. The vision was perhaps too grandiose even for Alphabet and, earlier this year, it was reported that Boston Dynamics had been off the leash so it could sniff around for potential buyers. With that short-lived episode over, the roadmap for robotic deliveries is now back under debate, at least if you were expecting arms and legs.


Charting our artificial-intelligence future

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Galileo viewed nature as a book written in the language of mathematics and decipherable through physics. His metaphor may have been a stretch for his milieu, but not for ours. Ours is a world of digits that must be read through computer science. It is a world in which artificial-intelligence (AI) applications perform many tasks better than we can. Like fish in water, digital technologies are our infosphere's true natives, while we analog organisms try to adapt to a new habitat, one that has come to include a mix of analog and digital components.


Charting our artificial intelligence future

#artificialintelligence

Galileo viewed nature as a book written in the language of mathematics and decipherable through physics. His metaphor may have been a stretch for his milieu, but not for ours. Ours is a world of digits that must be read through computer science. It is a world in which artificial-intelligence (AI) applications perform many tasks better than we can. Like fish in water, digital technologies are our infosphere's true natives, while we analogue organisms try to adapt to a new habitat, one that has come to include a mix of analogue and digital components.


Getting Started with Artificial Intelligence Today Digital Marketing Blog

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Blog Post:This week, an Econsultancy article examined five ways that artificial intelligence (AI) can help marketers enhance the customer experience, according to its latest "Marketing in the Age of Artificial Intelligence" report. The article explains that by streamlining purchase processes and supply chains, improving recommendations, and enriching the customer experience in related ways, AI can help foster stronger relationships between brands and customers. You may be thinking, "This all sounds well and good, but what does it have to do with me? How am I supposed to leverage AI, right now, to improve my brand's customer relationships?" The article made me think about certain capabilities in Adobe Target Premium that can already help you realise many of these benefits.