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Speaking of the relationship between business and technology, there is no topic more attractive than the transformation potential of AI. With the development of informatization and globalization, the concept of the Uka era has become more and more popular in recent years, especially in the first half of 2020, while experiencing the epidemic of "black swan", the consensus of "new infrastructure" has been reached quickly. Business and technology are changing rapidly, and the commercial value of AI has been further demonstrated.
Get up in the morning and ask about the weather condition of the smart speaker. Open the map after going out and use the smart route planning.
From the intelligent quality inspection and automatic sorting on the factory assembly line to the land parcel identification and intelligent soilless cultivation combined with remote sensing technology in the field.
When it comes to leisure and entertainment, turn on the smart recommendation information obtained from the mobile computer.
As well as gene sequencing, AI temperature measurement, etc. in the "epidemic" of scientific and technological warfare
Artificial intelligence runs through all aspects of human life. Although its depth varies, it has covered a wide range of fields. It can be said that the application of artificial intelligence has been very popular worldwide.
Statista, an industry research company, predicts that the AI market will maintain an annual growth rate of 50.7%, and by 2025, the global AI market will reach 36.9 billion US dollars. In addition, in the context of rising global uncertainty, China's economy has also shifted from a stage of rapid growth to a stage of high-quality development. When the trend is clearly visible, enterprises need to "respond to the situation".
Decision makers' "responding to the situation"
So, as a leader or technology decision-maker of an enterprise, how can we cut into the application of artificial intelligence technology or expand the application scope of artificial intelligence in a complex and uncertain environment to create competitive advantages for enterprises and bring greater business benefits?
To answer these questions, it is bound to require more enterprise leaders and technology decision-makers to think deeply about and change the application of AI technology, and change their minds to think about how to apply AI technology to the core production process of the business, which requires them to explore what mature AI solutions can do based on their familiar business realities What can be changed and what new business and model can be achieved.
When the demand for AI engineering is booming with the awakening of enterprise consciousness, the shortage of scarce talents has become a "roadblock".
"If you want to do something, you need to understand it first". As early as 2016, McKinsey conducted a survey. More than half of the enterprise executives believe that AI technology is very important for enterprises, but where to use it and how to effectively implement the application of AI are the key issues.
In order to deliver more compound talents who understand AI technology to all walks of life and can make appropriate technology selection based on their own business scenarios, design and implement efficient and reasonable landing plans, and ultimately help enterprises to obtain maximum benefits from AI industry applications “ Chief AI Architect ”。
Since the beginning of 2019, Baidu has jointly built“ Baidu Huangpu College ”, committed to training the first batch of chief AI architects in China.
In the course, Baidu Whampoa College pioneered the "three teacher teaching mode" of architect teaching, senior engineer guidance and teaching assistant guidance, and conducted it in the way of project discussion based on the actual AI business problems of the enterprise.
Given weapons and energy, Baidu Whampoa College has become a banner of AI talent cultivation in the industry and a pioneer of Baidu in cultivating 5 million AI talents in five years.
Since its establishment, Baidu Whampoa College has trained and delivered 135 leading technical talents capable of implementing AI applications in complex scenarios for more than 10 industries such as energy, manufacturing, communications, medical care and finance; In addition, Whampoa College also provides all students with a peer and inter-bank experience exchange environment and platform. There are close links and numerous exchanges between students and between students and instructors.
Baidu Whampoa College Phase IV Enrollment will be officially launched on October 29, 2020 , offline closed small class courses, and provide full scholarship for officially admitted students, so we are powerful! Architects, scientists, and enterprise technology decision-makers who are actually engaged in industrial AI (deep learning field) technology research and development and are interested in promoting industrial intelligence upgrading through AI technology send invitations to share AI dividends, explore from the front of the tide, and create greater value together!
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