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ABC, the Internet company’s new strategy
Ng said, “AI is the new electricity. I believe AI will change all industries in the future. If this scenario is correct, the world needs millions of people with deep learning knowledge.” He thinks we should build an AI-driven society, hoping that machine learning knowledge will be available to everyone, and that every programmer will have to know how to use AI in the future.
All Around AI
From cutting-edge technology companies to traditional industries striving for innovation, almost all want to grasp the “wind” of ARTIFICIAL intelligence. Baidu stressed that the strategy is “All in AI”, Lenovo said that bet on AI, Microsoft said that full bet on AI is no longer “mobile and cloud” priority…
The price of talent in artificial intelligence has skyrocketed, and companies large and small are eager to hire the right talent. Giants have begun to set up “artificial intelligence research institutes” to map out their territory. Yan Shuicheng, Li Feifei, Shan Shiguang, Xing Bo, as the representatives of the academic superstars, also began to enter the AI market wave. This artificial intelligence upsurge seems to be a great game of talent.
Data mining senior engineer and machine learning algorithm engineer, is the most popular ai front-line technical talent. Such positions can be as low as 10,000 or 20,000 yuan a month, or as high as one million yuan a year. Unlike other industries dominated by senior managers, technical engineers are the highest paid in artificial intelligence. However, the demand for machine learning talents is far in short supply. According to industry analysts, there is a shortage of more than 5 million ARTIFICIAL intelligence talents in China, and the supply-demand ratio is only 1:10. As the demand for talents surges, it is difficult to satisfy the demand for talents by relying on university education alone. The basic situation of the industry is that the top AI talents come from Silicon Valley and universities at home and abroad, and a large part of the front-line employees are transferred internally, while the other part are recruited through campus recruitment.
In this technology dividend, data people have the advantage, and they are the ones who need to transform AI. The market is waiting for us to rise, and we need to prepare for our future. What kind of knowledge do we need? How do you know what AI can do? What techniques were used to achieve this? How do we need to learn to adapt to technological change?
This is A typical AI architecture diagram. “B” +”C “lays the foundation for” A “. Big data platform and cloud computing are the first-tier engines of AI architecture. AI engineers must also be capable of big data platform architecture. For example, autonomous driving teams need to manage huge amounts of data with existing big data architecture. Whoever has the data in the industry can apply the AI in a closed loop. Big data people are the closest technical people to AI. But you also need to learn more “A “layer techniques. What information do we see in some other media? “Facebook chatbots are making up their own language! AI is going to put half the world out of work! “Scary, AI can do this! Stunned, AI can do that!
In fact, we need to understand, for example, how recommendation systems dominate your buying and reading habits; Like voice recognition, how smart products come into your life; Such as computer vision technology, how to apply to security and authentication, etc. We have a long history of delivering practical, tangible technologies that change our daily lives, and we believe that’s what ai is all about.
Since its inception, Jilianai Cloud has been in line with the principle of being a professional network platform for sharing computing power, helping the development of artificial intelligence industry, achieving win-win innovation, and making a contribution to the cause of AI. In less than half a year since its establishment in April, we have gained more than 3,000 users. We have set up 13 AI technology discussion groups, large and small, in which we share experience and learn together. In our official website, every day there are loyal fans in the forum to post a variety of technical articles, the platform will be rewarded for Posting. It not only allows us to show ourselves, but also provides us with an opportunity to learn and communicate with each other. Every month we will hold a variety of online activities, these activities not only give high rewards to everyone, but also let more and more people know our platform, and create miracles in study and work.
If you want to know more deep learning partners and exchange more technical issues, please pay attention to the public account “Jilian AI Cloud” (providing you with the most cost-effective sharing computing power platform, official website address:cloud.videojj.com/)