Lei Feng network (search "Lei Feng network" public number concerned) by: This article author Liao Feng, Internet analyst.
Via:ravepubs.com
"The next 10,000 startups will do this thing: take X; add AI," KK said, and this trend will allow AI to become the most basic resource like electricity, ushering in an IQ as a In the era of Service, intelligence was provided to any person as a service. Now more than KK is talking about, Cook is also saying that Hawking is also saying that BAT is also following up fast.
The AI ​​application is to summarize the existing laws and formulate corresponding solutions in real time. The big data analysis is concerned with the phenomena and sources of events that occurred in the past to provide reference for decision-making. One is to respond to unknown things as quickly as possible, and the other is to enrich the known data as rich as possible.
According to a report released by IDC, the global market for big data in 2017 will reach 32.4 billion U.S. dollars, with a compound annual growth rate of 27%, of which the fastest growing market is in the area of ​​data storage (53.4%). The BBC predicts that the market size of the artificial intelligence market in 2020 will reach 18.3 billion U.S. dollars.
It seems that the big data market is already very mature. AI is just starting as a new player and it will have a place in the future. But when it comes to AI, it's easy to think of Apple's Siri or Google's self-driving cars. It's been so commonplace that big data is so commonplace that it's hard to get people to say a typical 123 right away. This is due to the rapid development of the mobile Internet era, where users like to change quickly, and the degree of fragmentation of information sources is high. In many cases, big data cannot be unclear. Big data is a tool used in all aspects but it does not directly generate services. AI It is different.
From tools to services, and to promote the reform of the mobile Internet, is the product of deep and effective learning by the machine to deposit data. Apple can use the APP habits to predict the user's preferences for appropriate communication and content or service recommendations. Google can analyze the traffic conditions of maps to analyze the different road conditions. Whether there are efficient and accurate suggestions or judgments becomes a top priority. This requires self-iterative algorithms and data models, not just the stack of experience and data. The key point for SiriI and Google's autonomous cars to implement AI is that they provide a real-time online service that interacts with the target.
Just like Wang Yangming’s “information on knowledge†and “combination of knowledge and practiceâ€, in fact, big data and AI are not a clear divide. From tracking static data to participating in data changes in combination with dynamic data, deep learning of machines is just like people’s theoretical practice. Changes in the objective environment lead to different conclusions and the use of cycles to reach the limit.
This poses a challenge to big data companies. Whether they can achieve the ability to obtain real-time data and interact with the target group at the same time to verify their judgments and quickly achieve business value becomes a necessary part of the transition to AI .
As Jobs said in 1983 -
"I think looking forward to the next 50 to 100 years, if we can really develop a device, it can capture the underlying spirit, or a set of potential principles, or a potential way of looking at the world, so that when the next Aristotle appears When ... maybe he can carry this device with him and put everything into it so that when this person dies, we can ask this device' hello, what would Aristotle say about this? 'The answer we got may be wrong, maybe correct, but I'm already very excited when I think of it.'
Create closed-loop data applications that are self-controllable and provide simple and effective services to specific and specific people. I believe AI will be more than just an interactive interface. In the movie, Iron Man transforms his passing housekeeper Jarvis into an AI. Nor will it be just a branch of fantasy.
For many companies, big data has become the norm, but how many of the data assets they have precipitated can add value, but it is difficult to measure. If you only stay in the collection of data and issue analytical reports, because the current data volume and data types have formed an explosive growth trend, a large number of fragmented unstructured data, companies in the marketing and operation process is difficult to effectively extract value from it.
"Although artificial intelligence technology alone is actually very difficult to leapfrog across such gaps, it helps companies get data value from big numbers and right numbers, and it comes into the so-called marketing, customer interaction, and a very good interactive experience. IBM, we are trying to solve this gap through cognitive solutions and systems." Guo Jijun said.
Apple announced at the beginning of the year that the number of applications in the AppStore has reached more than 2 million, which is the number of days for the industry. However, from the latest forecast report of the Sensor Tower, an analysis site, this seems to be just a small step for Apple, because the report predicts that this number will soar to 5 million before 2020. Thanks to Apple's unique platform environment, more and more people favor Apple, and the number of APPs is naturally rising. The report also predicts that the number of App Store applications by the end of 2016 will exceed 2.9 million.
Apple’s financial report shows that there are even more than 1 billion active Apple devices. Actually iCloud users are 872 million. This means that Apple needs to process more than 200,000 iMessage messages per second, which is equivalent to nearly 17 billion messages per day.
IBM combines years of cognitive technology capabilities with the industry, and shows that Watson can not only "hedge" the program but also can edit the ability to achieve the trailer of the thriller movie "Morgan", providing enterprise customers with industry depth Insight into real-time intelligence services. This is also the reason why IBM and Apple started to cooperate with Apple on July 16, 2014, not just precipitation data to provide analysis reports. AI is not only big data, it is more involved in the changes of data to influence and change data.
In Google's fourth quarter 2015 performance report, Google CEO Sundar Pichai announced that Gmail's global monthly active users of its e-mail service exceeded the 1 billion mark, which means that 1 in 7 people worldwide have a Gmail account.
The other 6 products that broke the 1 billion mark include Google Search, Chrome, Android, Google Play, Google Maps, and YouTube. There is no doubt that many of our lives are inseparable from Google's services. Google uses user search data to conduct artificial intelligence (AI) technology research. Its AI technology is used in many services, including Gmail. In fact, Sundar Pichai also stated that the fairly large email reply in Gmail was done by AI. In the mobile Gmail app, 10% of emails reply using AI technology.
Through the analysis and learning of the people's life data, and participate in the interaction. Based on the in-depth research of artificial neural networks, Google hopes to lead Apple in smart cars and has obtained certain advantages in recent user surveys.
For the application of artificial intelligence in marketing, Google executives believe that it helps to obtain healthy and efficient traffic, and smart marketing means that by connecting highly-running artificial intelligence, humans can make smarter decisions. Specifically, artificial intelligence technology can analyze the ads seen by the naked eye, including analysis of some details, such as color differences and colors, and then try to change the interaction with the users, and ultimately improve marketing effectiveness.
Just as AlphaGo played, 37 hands in the first game were considered to be the birth of artificial intelligence. It plays chess with many people at the same time and does not rest for 24 hours. It continuously makes progress and finally forms its own logic and judgment. Based on the accumulation of Google in the field of search, the most opportunities for learning, the fastest results may be advertising marketing.
To sum up, big data realizes the basic data screening and regular presentation, while the high threshold AI needs to achieve self-determination and decision after deep learning, and the first area to bring breakthrough in this area may be marketing.
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