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Over the past few years, the significant advances made in machine learning (ML), particularly deep learning (DL) technologies, have greatly accelerated business analytics. ML is now being used on structured data such as company sales and inventory records, business transactions, device sensor signals for sales prediction, opportunity mining, and product recommendation, to name a few areas. Statistically, 90 percent of the world's data is unstructured, usually in the format of text, image, audio, and video. One of the major challenges to get ML and DL to work together effectively is to interpret unstructured data and process them with other forms of AI, such as natural language processing (NLP), speech recognition, and computer vision (CV).
The benefits of data analytics are clear. Companies in China have always been using internal data for everyday decisions. In today's environment, companies need more data points such as regulatory and guidance direction, competitor activities, consumer trends and patterns, and other unpredictable natural or social events into the decision-making equation. It can be cumbersome for a lot of companies because it requires advanced technical capabilities in both big data and AI to automate unstructured data acquisition, storage, processing, and analysis. This is where Wisers' expertise lies.
With the best-in-class Chinese NLP, CV, and augmented analytical technologies, Wisers transforms massive big data, whether internal or external, structured or unstructured, into business values and actionable insights, enabling our clients to make smart decisions. "By integrating human and machine, we make use of AI technology every day and help 3,000 clients across different industries to monitor, discover, track and analyze public relation and marketing insights, unveil financial risks, and augment public policy intelligence," says Ms. Denise Che, CEO of Wisers.
A Treasure Trove of Data
Over the past 20 years, Wisers has amassed one of the world's largest Chinese news and social media databases, with more than 85 billion articles from approximately 790,000 media sources and an increment of nearly 130 million items per day. This accumulated data is used in training artificial neural network-enabled semantic embedding model for the Chinese language - which consists of more than 14 million words. Wisers AI helps enterprises bridge the gap between internal structured data and external unstructured data and maximize the business values and decision-making support of artificial intelligence and big data.
Wisers is committed to arming everyday decision-makers with more data-driven insights than previously available
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