It is becoming increasingly important to efficiently mine core values from massive data as data keeps growing in volumes and timeliness at an unprecedented speed and scale. “Datayes is building the best financial information data in-depth analysis and value mining platform in the industry.” Datayes CEO Jiang Long told Cailianshe, an influential financial news outlet in China, in an exclusive interview.

Clients can search and find the information and data needed with just one click. Datayes provides them with key word search and content recommendation service based on algorithms to retrieve sufficient information and data in an efficient way, in stark contrast to the old-fashioned library style classification index method, which becomes more and more difficult and next to impossible to organize and standardize huge volumes of data in advance, said Mr. Jiang.

The value of alternative data looms large in investing as conventional data is available to more and more investors. Alternative data makes the difference to investing analysis and predications. It can give investors a competitive edge over others, as is expected to generate alpha. “There is likely to be greater demand for processed data with higher value. Therefore, Datayes will provide more and more alternative data and its processing and analysis,” said Mr. Jiang.

The value generated by data is not only related to the data analysis and presentation method on the part of the data provider, but also in part related to the user. “Datayes provides different kinds of data depending on the specific demands of related users, raw, processed or derivative data. It also arms users with data analysis and processing tools,” added Mr. Jiang.

Datayes is the first to initiate and practice the integration of AI (Artificial Intelligence) and HI(Human Intelligence), which has the potential to make the fullest use of the advantages of both machine and man and realize machine-man interaction. “Given the fact that human brain’s computing power cannot deal with the explosive growth of huge amounts of data and the current AI leaves much to be desired, AI + HI will play an important role. With the maturity of AI, AI+HI will get better and better in the process of cooperation, and the part that AI can play will be bigger and bigger,” explained Mr. Jiang.

When it comes to better cooperation and combination between machine and man, knowledge graph serves as the information intermediary. “It bridges computer and human languages, presenting human knowledge in a way that computers can understand. All information and data can be mounted on the knowledge graph, which can reflect the relation between information and data, and communications between humans and machines materialize,” said Mr. Jiang.

The massiveness of data makes data processing difficult, and Datayes has noticed user’s deeper analysis demand beyond the basic data, and taken a step forward in the direction of data analysis. “Datayes, investing heavily in multi-dimensional data analysis, is not just a data terminal, but also an intelligent data analysis platform, based on data terminal, that can assist investors in decision making, which makes it different from other data terminals,” said Mr. Jiang.

Datayes attaches great importance to client experience. Datayes provides users with both data, research framework and analysis results. In the long run, Datayes is committed to a more comprehensive analysis platform, accelerate upgrades and bring a more perfect user experience,” said Mr. Jiang.

Datayes is a global fintech company that empowers investors to invest smarter and more proficiently through an intuitive platform based on cognitive technology-an integration of machine intelligence and human knowledge.

By using the most advanced form of artificial intelligence and data service technologies, the company is committed to leading the industry into a new paradigm to equip financial institutions with an intelligent investment platform and individual investors with smart tools.

Datayes provides a comprehensive suite of services from investment analysis to portfolio management through SaaS, data feed or customized product solutions to investors and finance professionals globally.