Gridsum Prophet: A Consumer Artificial Intelligence Engine From China


A China-based big-data analytics and machine learning company Gridsum says that it is creating an A.I named “Gridsum Prophet” to consolidate all of its artificial intelligence (“AI”) activities.

According to NASDAQ, the company which serves large enterprise customers (including Fortune 500 and China 500 enterprises) has accumulated deep domain knowledge and expertise as well as a massive amount of data that fuels its machine learning algorithms since it started utilizing a distributed big-data computing architecture, sophisticated natural language processing (“NLP”), and leveraged machine.

It has also till date filed 1,653 patent applications in China alone, of which 583 are big-data focused and 148 are explicitly Enterprise-AI focused.

While commenting on the new A.I, the company’s Chairman and Chief Executive Officer, Mr. Guosheng Qi said that “… AI is playing an increasingly key role in developing and optimizing our intelligent products and solutions across the board and providing quantifiable value-add to our enterprise and other customers. Through Gridsum Prophet, we are taking strategic moves to further accelerate our AI development in a more concentrated way. New product features driven by Gridsum Prophet have already been key in a double-digit number of both client wins and subscription renewals with substantial ARPU uplift.”

Consumer AI as it is known, often leverages the ubiquitous consumer Internet ecosystems across e-commerce, social, mobile, entertainment and others and focuses to quickly solve or facilitate relatively simple (from a mathematical standpoint) but often time-consuming, “painful” or distracting consumer challenges. Consumer AI is incredibly broad in scope, having the potential to revolutionize and facilitate the way people live and, within the next 10 years, will likely touch the lives of most of the people on the planet.

But in all, the future indeed is exciting. The AI wave that is poised to sweep across consumer technology comes in two forms.

While the first wave involves using voice as a new — and simpler — way to interact with everyday gadgets, the coming AI revolution involves acquisition of data by smart devices and using them for more practical, useful ends.

With the emergence and the rapid growth of smart grid, vehicles, robotics, telecommuting, wearable tech, voice recognition or speech, digital assistants, smart homes, on-demand services, chatbots, possibilities are endless.

Tech companies such as Google, Facebook and Amazon hold troves of data, using them to train their systems to do things like understand language or recognize human faces in a crowd.

These are expected to make and have started making it easier to find things, lower costs, learn preferences and routines, knows general behaviors, and support human evolution.

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