According to foreign media reports, just as software took over the global technology industry a few years ago, we now see machine learning algorithms beginning to dominate the software industry.
Five years ago, tech entrepreneur Marc Andreesen published an article in the Wall Street Journal, saying that software is "swallowing up" the world. In the case of software coverage and increased profits, no one is keen to manufacture hardware products. Today, you can say that machine learning is emerging in software in a quiet way.
Software is still the main venue for the game in the tech world, and machine learning is one of the most lively areas. If a piece of software is not related to machine learning, there is almost no chance to show up at the Consumer Electronics Show. This is especially true for enterprise software. The ability to use machine learning to help customers strengthen marketing, help build new products, and maintain a good line of production will be key to the success of enterprise software.
Machine learning is presented in a series of novelty gadgets in the consumer product arena. First, Amazon launched Echo, and Google subsequently launched Google Home, a similar product. These ingenious hardware created by the software giant is quite refreshing. Of course, although it is called hardware, the core of these products is still the software algorithm within it. These products are driven by machine learning models, understand natural language commands, and become more and more useful as time goes by.
In addition to hardware, machine learning is also a boom in pure software. Both Google and Facebook are using machine learning to transform their products.
The application of machine learning in enterprise software is becoming more and more obvious. Last month, Tableau Software announced that it will introduce machine learning to create new features in its popular data visualization software. Salesforce, the world's leading customer relationship management service provider, launched a series of new features earlier this year that use AI to understand the focus of users and make it easier to find relevant data.
In order to win the developers, the major development platforms have also made all the stops. This month Amazon announced that it will allow developers to use the machine learning model and AI toolkit of Alexa AI bot. Earlier, IBM also announced the opening of the Watson analysis platform, allowing developers to use their cognitive engine to build applications. Google, Microsoft, and Facebook each have similar actions.
As IBM CEO Ginni Rometty said at this year's Watson World Congress: "We hope Watson will become a business platform."
At present, most of IBM's revenue still comes from traditional businesses (such as cloud computing), but IBM is also a world leader in the new field of machine learning through Watson.
The new technology field is dominated by the hegemony, and no matter which company wins, it will gain the ability to define the way to calculate for the next few decades, just as Microsoft Windows did in the 1990s.
In 2017, this trend of exploration and competition will continue.
This week, Uber acquired Geometric Intelligence. The latter is an AI research company whose team and technology will become a key force in Uber's new AI lab after the acquisition. The new team will use AI and machine learning to help improve Uber's business capabilities, such as travel route selection, order payment and autonomous vehicle technology.
Uber, who started his own car, is now betting on machine learning. This is not blind or coincidental. On the contrary, machine learning will become the core of its business in the future. Machine learning is moving into all software and is gradually becoming the new benchmark.
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