Next generation's main technology conjecture after SaaS

Last week a friend asked me what the future trend of the software would be. In some layers, the following trends should be obvious: many of the jobs that now need to be Bimozhiyan will inevitably be replaced by digital, and tasks that need to be done through spreadsheets such as Excel will be further optimized, and many of the limitations of traditional software will inevitably be overcome. But this does not mean that this type of software innovation will continue in the next dozens of years. So what is the next generation of fundamental changes that can reset the entire software ecosystem, like the cloud in the early 21st century?

Earlier, an entrepreneur friend told me that many people who use computer office think that the most powerful tool the computer provides is Microsoft Word Office software. However, in fact, the computer for the user input into Word content is actually not a very ignorant.

In fact, we think carefully, the most fundamental mission of the computer is to accept the input/instruction, and after the calculation to provide people with corresponding results. Whether you are social software, office software, gaming applications, etc., all within this category. Our computers have been able to understand many different machine/programming languages since their inception. But they have never been able to really understand the human language.

So reasoning, we have reason to believe that semantic understanding is the thing we are looking for. In fact, earlier Wolfram Alpha products have been trying to explore in this direction. For example, you enter "Giants wins away games versus the Cowboys (temporarily only supports English, Chinese means: Giants away to the Cowboy win game)", Wolfram Alpha will immediately understand that you mean the Giants are the New York Giants football team, Not the giant baseball team in San Francisco. It will understand that the whole point of your sentence is the game of the giant rugby team, the Dallas Cowboy football team. In addition, you can ask Wolfram alpha a lot of strange questions, such as asking how much of the moon's mass multiplied by the height of the blue whale, etc.

In fact, there is a lot of technology hidden behind this. In this case, the computer understands the context and the context of the problem you are mentioning, then makes the relevant calculations and provides the corresponding results. This is semantic understanding.

In addition, we can imagine a lot of other examples. For example, a mobile app can automatically help you update your records on Salesforce based on your phone content, or a CRM system that analyzes your customer's wedding anniversary by reading your email and reminds you to send a greeting card Or, alternatively, a calendar app to help you reschedule your meeting based on your priorities and your current location.

These products are actually not far away from us, in fact, we have some experience in some of the products have been related. such as Siri and Google Now for voice-based semantic analysis. But we need to know that these are just the beginning.

Note: More articles please pay attention to the public number: Techgogogo or personal blog http://techgogogo.com. Of course, you are also very welcome to pick up directly (ZHUBAITIAN1). This article was compiled by Heaven Zhuhai Branch rudder from red Dot investment partner Tomasz Tunguz personal blog, the first idonews column.

Next generation's main technology conjecture after SaaS