With the development of hardware especially in mobile and network devices, more and more people will share their state in social media platform. Thus, we can obtain a huge amount of data with which we can leverage AI technology and inferred some valuable information for business applications, such as branding image monitoring, Stock Price prediction, market research, etc. However, not all of those prediction businesses can be implemented for commercial use because of the poor performance of current models. Besides, such amount of social media data bring challenges for distributed system and cluster network.

Therefore, Finflow is present to aggregate all the financial news with related stock price, market response from social media in order to maximize the human analysis efficie...[ Read more ]

With the development of hardware especially in mobile and network devices, more and more people will share their state in social media platform. Thus, we can obtain a huge amount of data with which we can leverage AI technology and inferred some valuable information for business applications, such as branding image monitoring, Stock Price prediction, market research, etc. However, not all of those prediction businesses can be implemented for commercial use because of the poor performance of current models. Besides, such amount of social media data bring challenges for distributed system and cluster network.

Therefore, Finflow is present to aggregate all the financial news with related stock price, market response from social media in order to maximize the human analysis efficiency. Finflow also adopt some network acceleration algorithm to improve system performance in order to maximize user experience.