AI has already started. Let's take a look at the factors that promote the development of AI through IT training.
Solid infrastructure has laid an environmental foundation for the development of artificial intelligence.
In the past, limited computing power was an important factor hindering AI research, but the current infrastructure and ecosystem are enough to support AI's processing power and let it "think" independently. In addition, the current powerful processing and memory functions, cloud computing, high-speed fiber-optic Internet access, universal Wi-Fi and the Internet of Things world have laid a solid environmental foundation for the arrival and rapid development of AI.
Twenty years ago, only large enterprises with R&D teams could participate in the research and development of artificial intelligence. Even so, the research is limited to the theoretical level. But now, every entrepreneur can quickly access the technical infrastructure and equipment established by large enterprises.
The rise of Facebook and other social media platforms has also provided favorable conditions for the development of artificial intelligence. We have never obtained so much real-time and historical data before, which helps us to understand how people interact. Before the Millennium, it was hard for us to imagine that such detailed and huge data could be obtained, let alone so widely obtained at the public level. Compared with the past, the access to data resources has become more free, which has created the possibility for the public to participate in the construction of the AI ecosystem. You can take part as long as you are willing to work hard. In this way, the obstacles that hinder the development of AI do not exist.
Just like the initial Internet bubble in the 1990s (or turning to the "mobile era" now), the development of AI symbolizes that small start-ups can also be independent, become leaders in the development of AI ecosystem, and promote the innovation of AI technology.
A new army in the field of artificial intelligence
We are familiar with Microsoft, IBM, Alphabet and other large enterprises, and their activities in the AI field have a long history. The machine learning applications launched by these enterprises for the public have also achieved varying degrees of success.
Watson can answer users' questions, which makes it an ideal resource platform for professionals in some complex industries, such as medical and financial industries. The complex algorithm used by Google search is also very close to AI, and Google's parent company Alphabet has also begun to use its research and development results to reshape the network. Even Facebook has invested a lot of money in artificial intelligence research and development.
Although these big companies let the mainstream media introduce their AI platforms to Crazy in Love, it is the independent developers, such as ROSS and Slack, who really use these platforms to bring innovation to AI. According to Bloomberg statistics, in 20 14 years, the venture capital in the field of artificial intelligence exceeded $300 million. By 2020, AI is expected to develop into an industry with a market value of 20 billion US dollars, including cross-platform search, voice help and active support. Gartner predicts that 85% of consumer interactions will be managed by machines.
By then, the younger generation born in the Internet and Siri era will create a new generation of Google, Facebook and Amazon. And some existing established technology companies will be replaced by innovative start-ups and become the cornerstone for these start-ups to open up a new world.
The future development direction of artificial intelligence
If there are subversive new technologies in the AI industry, it will be the result of these small participants using the existing AI platform in a centralized and new way. But even if startups surpass existing large enterprises in the AI market, it does not mean that these large enterprises will withdraw from the historical stage.