The year 2016 was significant for VSTE and the arbitrage betting world alike.

VSTE appears to be constantly evolving every two years. It all began in 2012 as a free data analysis platform for sports enthusiasts, founded by Walter Jacobs, a former leading technical team member from Bet365, and Lewis Allen, the lead for online operations at 188Bet. In 2014, the company created its own arbitrage betting model and started extracting and analyzing web data to predict game outcomes. By 2016, VSTE had fully embraced artificial intelligence, taking its arbitrage betting model to new heights of innovation.



◎Arbitraging model technical transition

Back in 2012, the Internet was at its fourth stage, when mobile devices and social networks were thriving and the Internet's social and commercial worth was just beginning to dawn. During this time, VSTE utilized web search data to offer free match scores, player status, and game predictions.

Fast forward to 2014, the Internet experienced a significant shift towards artificial intelligence and big data, with "Internet+" becoming the talk of the town in all industries. However, the arbitrage betting industry was struggling to keep up with the rapidly growing global sports market. That’s when Walter Jacobs, with his rich industry experience, led the team to develop cutting-edge event arbitrage model calculation technology. They utilized web data capture methods to extract both structured and unstructured information, and then applied specific rules and standards to process and store this data in VSTE's structured database. The combination of big data and intelligence in VSTE's technology brought arbitrage betting to the next level, moving it from its old ways onto the "Internet+” track.
 

 
◎VSTE utilizes AI to forge a new path in the arbitraging industry

In the year 2016, the arbitrage betting industry achieved a worldwide turning point of progress. Several service groups offering arbitrage betting services responded to market demands by introducing various algorithm models, each possessing unique strengths. During this time, VSTE had already incorporated features such as dynamic game data, virtual images, and multimedia enhancements to supply precise and trustworthy game analysis. Furthermore, VSTE simultaneously developed personalized strategy models for their clients, leading to more accurate data analysis services.
 
VSTE went above and beyond by upgrading their technology with the latest big data, cloud computing, and IoT technologies. They didn't stop at just arbitraging model designs, but also used artificial intelligence to enhance their multi-sports match odds data services. Thanks to their use of AI, they were able to continuously optimize their arbitrage combination comparison strategy.

VSTE became one of the first team in the world to integrate AI technology into the sports arbitrage betting industry, making them one of the pioneers in the world. Not only that, but they also have one of the largest teams that use AI models for arbitrage betting. Thanks to VSTE's forward-thinking approach, the event arbitrage industry has started toward its "singularity moment".


 
◎Feed-forward AI analysis system anchors the future development of arbitrage betting

VSTE believes in investing in the technology of the future, without worrying about the cost. With its highly skilled and experienced global teach team and solid financial backing, VSTE is committed to advancing the development and construction of the AI arbitraging model.

The AI ​​arbitrage model for arbitrage betting is a vertical development that requires a huge demand for data and algorithms. It also requires a powerful industry database and information base. Moreover, developing and training large-scale AI models is costly and technically challenging. It requires a development team with super parallel computing capabilities in the industry. VSTE’s AI arbitrage model design aims to create an intelligent arbitrage system that meets the needs of various global arbitrage betting scenarios. It can not only intelligently capture match odds on the entire internet but also calculate the optimal arbitrage combination in real time. To meet these strict requirements, VSTE’s tech team conducted three rounds of in-depth optimization of VSTE’s core AI framework. They finally developed a “feed-forward AI analysis system” that combines perception and cognition. Walter Jacobs believes that this new concept will make global arbitrage betting systems more fluid. Various companies had a bubble dream of occupying this huge space that was brought about by the deep integration of the Internet, big data, artificial intelligence and the real economy. But now VSTE has turned it into reality.
 

 
In short, as tech teams like VSTE continue to drive technological change in the arbitraging industry, arbitraging betting will quickly enter another period of accelerated growth. Can VSTE’s strong capital strength and industry-leading AI technology help it take the lead again? The future is still unknown but every technological innovation of VSTE is worth looking forward to.