Yunqi Conference is sponsored by the Hangzhou Municipal Government and Alibaba Group. It provides a platform for entrepreneurs to communicate and helps them realize their dreams through new technologies. The scale of this year's Yunqi Conference not only surpassed last year, but will also be the largest scientific and technological event at home and abroad. The Alibaba Technology Day Group will also make its debut for the first time. It will also have major cooperation announcements in areas such as artificial intelligence and scientific research.
Since the AlphaGo man-machine war at the beginning of this year, artificial intelligence has become a hot spot in the industry. In fact, since the concept of artificial intelligence emerged in 1956 for 60 years, artificial intelligence has experienced several ups and downs. Why today has become a hot spot in the industry? To sum up, it is actually the maturity and development of the three major technological foundations that laid the groundwork for artificial intelligence.
Artificial Intelligence = Data + Computational Capability + Algorithm
First of all, artificial intelligence has a high demand for computing power. Previously, scientists who researched artificial intelligence are often limited to stand-alone computing power. They need to cut out data samples and let the data be modeled and analyzed in a computer, leading to accurate models. The rate is reduced. With the rapid development of distributed computing capabilities, cloud computing platforms can use thousands of machines to perform calculations. In particular, the development of GPUs has laid a foundation for accelerating the landing of artificial intelligence, making deep neural network algorithms similar to humans. Artificial intelligence applications represented by models become a reality;
Secondly, the era of big data has come, and multi-source, real-time, large-volume, multi-type data can more realistically describe the reality from different perspectives, and deep learning algorithms can be used to mine the multi-level relationships between data. Artificial intelligence application lays the foundation of data source;
The third is the development of the algorithm, especially the paper published by Prof. Geof Hinton in 2006, which opened the wave of deep learning in academia and industry. The deep learning algorithm represented by artificial neural network (ANN) has become the core of artificial intelligence applications. engine.
Therefore, the computational capabilities + data + algorithms complement each other, interdependence, and mutual promotion, so that artificial intelligence has the opportunity to become a common technology from a dedicated technology and integrate into all walks of life.
Alibaba has carried out a great deal of practice in artificial intelligence technology research and development and application scenarios. Through accumulating artificial intelligence core technologies in e-commerce, logistics and financial-related business application scenarios, it gradually exports to the transportation and government through the Alibaba Cloud ET platform. , entertainment and more in the industry.
1. Artificial Intelligence from Alternative Customer Services to Personalized Assistants
Customer service is a common scenario in many industries, covering banks, insurance, telecommunications, retail, manufacturing, e-commerce, and other industries. In the past, these industries mainly relied on self-built or leased call centers and hired a large number of customer service personnel to provide services. Some companies' customer service centers are the cost centers of enterprises.