II Data School is the premier organization for bridging the world of academia with the world of practice. II Data School has four focus areas that highlight key research areas for contemporary issues. The four current research areas of II Data School are geographic information systems and climate change, economy and finance, information security, and last but not least health care and medicine. The research areas of focus for II Data School will grow and change over time. To learn more about the development or to participate in the formation of this organization, visit iidataschool.com for more information.
Artificial intelligence and machine learning algorithms in financial trading markets
The application of artificial intelligence and machine learning algorithms in financial trading markets can be one of the areas to explore for economists and policy makers. With emerging markets, the implementation of artificial intelligence and machine learning algorithms can be evaluated for the affects that they may have on trading currencies, equities, bonds, and commodities. The role that artificial intelligence and machine learning may potentially have can be an area of future research.
Risk of cryptocurrencies in financial markets
As the cryptocurrency markets start to show tremendous growth, one of the areas that may be of concern to financial regulators is the risk that these cryptocurrency markets place on existing financial systems. The rapidly rising value and market capitalization of these virtual currencies may eventually reach a point to where their volatility could influence other financial markets. Research into the potential risk of cryptocurrencies in financial markets may be an area of future research.
Image analysis in financial markets
Image analysis may potentially sever as a tool for large scale financial transaction analysis. Reducing large amounts of financial analysis to charts that can be analysed by image analysis may simplify modelling and simulations of historical and forecast financial data. Image analysis algorithms may facilitate large scale data analysis.
Research and Training Materials
TJG Web Services develops research and training materials in information technology. Research and training materials are available for the areas of health care, earth science, finance, commerce, computer science and other areas. TJG Web Services researches the latest trends in technology services and their practical applications.
TJG Web Services consulting mediates the difficult terrain of the information technology landscape. TJG Web Services guides on a number of issues as they pertain to information systems in education, business, finance, health care, and governance. TJG Web Services applies years of experience in a number of field to identify creative solutions to prospective challenges.
Resource Description Models
TJG Web Services has developed a framework for developing resource description and resource query models. The challenges that TJG Web Services has faced in developing a structured standard methodology for unstructured data formats is one that TJG Web Services looks to mitigate with supervised machine learning algorithms. These developments may enhance the services that TJG Web Services can provide in a number of fields such as healthcare, finance, transportation, and energy. TJG Web Services has developed optimized performance systems for analytical processing of web transactions. TJG Web Services addresses scalability by implementing data archiving and data mining. These activities provide TJG Web Services the ability to deliver transactional and analytical services on a single platform.
TJG Web Services provides research in big data platforms, programming languages, and training including Textual Analysis, Image Analysis, Financial Analysis, Knowledge Management Systems, and Cross platform and Internet of Things development