Who is going to make money on the coming boom of artificial intelligence systems?
According to Goldman Sachs, AI is defined as “any mind represented by a machine or program.” This definition implies machines capable of learning and improving their operations over time, and performing meaningful processing of vast amounts of scattered data.
Although we heard about artificial intelligence for the first time almost 60 years ago, Goldman believes that we are already "on the verge of a period of rapid growth in the use and use of AI."
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By reducing the cost of many technologies, it is possible to process so-called “unstructured” data, such as speech and images.
Some individuals who have access to inside information of interested enterprises are confident that AI will continue to evolve at a much higher rate due to rising wage costs in various industries. Ray Kurzweil , technical director of machine learning and processing of natural language by Google, believes that AI is comparable to the average human level will appear around 2029.
First, some large technology companies owning related patents.
Among them, the undisputed leader is IBM, which owns about five hundred patents. The IBM super computer, Watson , is one example of a similar AI system. Watson is a promising development capable of perceiving human speech and performing probabilistic searches using a large number of algorithms. In 2013, the use of the capabilities of the system helped reduce the erroneousness of cancer diagnosis by doctors.
Other major owners of related patents are Microsoft, Google and SAP .
And here the real patent war is inevitable, and not the sluggish patent trolola, in the area of the rounded corners of icons and drop-down menus.
Secondly, many large technology companies are actively buying startups working in the field of AI.
In the past two years, Google has bought five different companies dealing with technologies such as pattern recognition, natural language processing, and neural networks. Yahoo tightly took on developments in the field of pattern recognition and natural language processing. Twitter bought a Madbits deep learning technology startup last year . At the same time, Home Depot uses a newly purchased analytical laboratory to improve the pricing procedure.
There are also startups that have received significant amounts of funding, including Rethink Robotics ($ 127 million) and Sentient Technologies ($ 144 million).
Goldman Sachs analysts, especially bulls, talk about artificial intelligence technologies that come from Asia and the United States.
So how can investors make money on a boom?
Goldman is considered a good investment in the Japanese company NEC, according to their data - number one in face recognition and text analysis. Also recommend several companies involved in components for automotive driver assistance systems: NIDEC, MobileEye, Nippon Ceramic, and Pacific Industrial.
American Marketo and Opower, working in the field of personalized customer acquisition through the use of AI in the analysis of user data arrays, are also regarded as promising. Analysts at Goldman also anticipate a rise in shares of Amazon and Twitter, two companies using AI in their work.
via Business Insider
Although we heard about artificial intelligence for the first time almost 60 years ago, Goldman believes that we are already "on the verge of a period of rapid growth in the use and use of AI."
')
By reducing the cost of many technologies, it is possible to process so-called “unstructured” data, such as speech and images.
Some individuals who have access to inside information of interested enterprises are confident that AI will continue to evolve at a much higher rate due to rising wage costs in various industries. Ray Kurzweil , technical director of machine learning and processing of natural language by Google, believes that AI is comparable to the average human level will appear around 2029.
So who will play in this market?
First, some large technology companies owning related patents.
Among them, the undisputed leader is IBM, which owns about five hundred patents. The IBM super computer, Watson , is one example of a similar AI system. Watson is a promising development capable of perceiving human speech and performing probabilistic searches using a large number of algorithms. In 2013, the use of the capabilities of the system helped reduce the erroneousness of cancer diagnosis by doctors.
Other major owners of related patents are Microsoft, Google and SAP .
And here the real patent war is inevitable, and not the sluggish patent trolola, in the area of the rounded corners of icons and drop-down menus.
Secondly, many large technology companies are actively buying startups working in the field of AI.
In the past two years, Google has bought five different companies dealing with technologies such as pattern recognition, natural language processing, and neural networks. Yahoo tightly took on developments in the field of pattern recognition and natural language processing. Twitter bought a Madbits deep learning technology startup last year . At the same time, Home Depot uses a newly purchased analytical laboratory to improve the pricing procedure.
There are also startups that have received significant amounts of funding, including Rethink Robotics ($ 127 million) and Sentient Technologies ($ 144 million).
Goldman Sachs analysts, especially bulls, talk about artificial intelligence technologies that come from Asia and the United States.
So how can investors make money on a boom?
Goldman is considered a good investment in the Japanese company NEC, according to their data - number one in face recognition and text analysis. Also recommend several companies involved in components for automotive driver assistance systems: NIDEC, MobileEye, Nippon Ceramic, and Pacific Industrial.
American Marketo and Opower, working in the field of personalized customer acquisition through the use of AI in the analysis of user data arrays, are also regarded as promising. Analysts at Goldman also anticipate a rise in shares of Amazon and Twitter, two companies using AI in their work.
via Business Insider
Source: https://habr.com/ru/post/286116/
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