Big dataBoguan Big Data was a high-tech company that focused on big data intelligence acquisition and analysis services. The company was founded in 2017 and is based in Yangpu District Shanghai City. Boguan Big Data has rich industry experience and solutions for big data intelligence, providing scientific and technological innovation intelligence services such as talents, technology, enterprises, and industries. Their business segments included big data talent mining, organizational knowledge base, scientific research data management platform, data sharing alliance platform, scientific research service alliance platform, big data investment system, etc. The company had established long-term cooperative relationships with government agencies and many universities, and served well-known large enterprises and institutions. The core products of Big Data include high-end talent mining evaluation system and technology enterprise mining evaluation system, which uses big data governance technology and artificial intelligence technology to provide accurate demand matching and digital portraits for talents and enterprises. They also provided talent maps, investment maps, industry maps, and innovation evaluation and monitoring services based on comprehensive, objective, and dynamic data capabilities to help customers solve problems in recruiting talents, attracting investment, industry consulting, and innovation evaluation and monitoring.
Tell me a big data story.2 answers
2024-11-08 21:57
Once upon a time, a retail company was struggling to understand its customers' shopping patterns. They started using big data analytics. By collecting data from various sources like in - store purchases, online browsing, and loyalty cards, they were able to see that a significant number of customers were buying certain products together. For example, customers who bought baby diapers were also likely to buy baby wipes. This led them to create targeted marketing campaigns. They placed baby wipes near the diaper section and also offered combo discounts. As a result, their sales increased significantly. Big data helped them make informed decisions based on real - customer behavior.
AI big dataAI Big Data was a technology model that combined artificial intelligence (AI) and big data.
In the field of customer acquisition, AI big data can gain insight into market opportunities through data collection and analysis, providing enterprises with massive user data and analyzing the laws behind them; Construct user portraits based on a large amount of user data to achieve precise positioning, including age, gender, region, consumption habits and other aspects of information; Build an intelligent recommendation system to improve user experience and recommend relevant products and services according to user historical behavior and preferences; Build prediction models to improve marketing strategies and predict future market trends and user needs.
In the smart health industry, the service system of the big data smart health industry could predict the potential risks of the body in advance through AI traditional Chinese medicine detection, AI finger artery detection, AI skin detection, etc.
In terms of model development, he had experienced a change from a model centric to a data-centric model. Under the data-centric development model, more attention was paid to how to use the data, which would involve a large amount of data cleaning and comparison, which had an important impact on the model convergence and the speed of repetition. At the same time, Aliyun built a big data AI integrated Paas platform, including big data platform, AI platform and other platforms to promote the integration of AI and big data.
In the field of cross-border e-commerce, Legendshop's Langzun system provides cross-border e-commerce solutions for enterprises through deep integration of AI and big data technology. In terms of precision marketing, big data analysis can be used to build accurate customer portraits, predict consumer needs and preferences, and provide customized recommendations; In terms of logistics management, it can analyze and optimize logistics routes and identify risk factors;AI also brings new ways of playing for cross-border e-commerce, such as accurately analyzing consumer behavior preferences, automating and intelligent work processes, and providing more opportunities for small and medium-sized businesses.
In addition, data also played a vital role in the application development of Generative AI. Most of the interviewees believed that data strategies were crucial to extracting value from Generative AI. Data science was shifting from craftsmanship to industrialization, and the concept of data products was gradually emerging. Data, analysis technology, and AI were packaged into software products that were managed by data product managers.
The story is good, but it has a big problem: since it's a translation and the original is finished, what will you do with the data? Will you update the outdated data with the current data we have, edit the battles between the strongest characters, etc.? Otherwise, there's no point in reading the story with outdated information.