Su Meng , CEO

A fter decades of a slow burn, innovation in the realm of artificial intelligence (AI) is finally climbing up the corporate agenda to take its place among the key levers of business success. The flurry of AI advances we see today is a result of the dawn of big data, the emergence of powerful GPUs for complex computations coupled with the re-emergence of deep learning. However, enterprises are still only scratching the surface when it comes to unlocking the potential of some of the catalysts for the next wave of AI advances. One such catalyst, cognitive AI—the most critical part of decision making—still poses a challenge for enterprises to work with. While it is difficult to measure the intelligence level of machine’s cognitive language and comprehend machine reading, there is also no set of standardized duties to prove if the level of machine perception and automation has surpassed humans. This is precisely what Percent Information Technology intends to change by integrating the ideas of the three major perspectives of AI: symbolism, connectionism, and actionism.

Founded in 2009, Percent Information Technology is a leading provider of complete big data and AI product line and solutions in China. Having created a rich industry application model library and knowledge graph repository, Percent serves both government and enterprises across multiple industries and overseas with AI scenario solutions. With a sharp focus on key industry application scenarios, Percent has created a wealth of industry application models and industry knowledge graphs and accumulated a wealth of industry practices. In 2018, the company established a cognitive intelligence laboratory to study deep transfer learning, deep reinforcement learning and deep learning with knowledge mapping. The specific technical exploration results from Percent demonstrate that the company can reduce the sample size that need to label from 10,000 to 1000 by integrating deep learning and machine learning. Percent also brings in a combination of deep learning, knowledge graph, and graph neural network (GNN technology), which gives deep learning models a specific causal reasoning ability and makes up for the weakness of the deep learning model. The advantage of integrating deep learning and reinforcement learning is that there is no need to label samples, which can greatly save the manpower input. “We are committed to becoming a world-class data intelligence technology company. We adhere to innovation, lead data intelligence, and promote social progress with data intelligence,” says Meng Su (Max Su), Chairman and CEO, Percent Information Technology.

On a mission to “use data intelligence to promote social progress,” Percent has built three core business systems for enterprises, governments, and SaaS services. The company primarily caters to newspapers, publishing, FMCG, finance, manufacturing and other industries, including digital government, smart government and public safety, and provides a variety of SaaS products such as sensational insights, online surveys, social media big data listening, and MobileQuest. The company leverages diverse technologies as engines to form intelligent decision making and cognitive products that specialize in semantic analysis, dynamic knowledge graphs, intelligent interaction, and more. Percent’s intelligent decision-making product empowers clients with intelligent analysis and forecasting of complex business problems based on intelligent cognition, combined with industry characteristics, to help them solve the problem of scenes. On the other hand, the company’s intelligent cognitive product automatically identifies and judges business problems through tools such as dynamic knowledge graph and text analysis to help customers build cognitive foundation capabilities.