About II Data School
Dr. Tamaro Green, DS
II Data School is a resource available in San Antonio, TX for learning about emerging trends in data science. Since 2019, II Data School has been applying research to contemporary techno-societal issues. II Data School began with a website and beta mobile application, iidatascience.com. II Data School began research in machine reasoning and optical networking. II Data School also began exploring research to support the education market.
II Data School began to research unconventional learning strategies to prepare graduates for careers in business and industry. II Data School researched techniques for preparing and training employees with new and emerging skills. One of the skills II Data School saw as valuable for education was predictive modelling. Predictive modelling can be implemented in educational administration and regulation compliance. II Data School viewed data science as essential for operational challenges in developing new educational systems. II Data School also began to explore partnerships between academia and business as a business model important to both entities.
II Data School examined how to apply the data science skill of data visualization. A popular feature of data science in business is storytelling. II Data School developed research for advanced simulations, charts, dashboards, and models to not only report results with data, but to create a narrative. II Data School also researched how to support businesses in creating new roles such as digital and information officers.
II Data School also research how the field of quantum computing will impact data science. Quantum computing, once just a dream, gets closer and closer to reality. II Data School assessed the race of scientists and businesses to become the first in this new technology. II Data School reported on the destination of applied quantum computing for data science. II Data School evaluated quantum computing applications for cryptography, blockchain transactions, and future medical research.
In early 2020, II Data School continued to meet and develop its platform while researching a structure for the organization. II Data School continued to develop the beta version of the mobile app, build unified communication tools, and created the II Data School newsletter. When the pandemic put a halt to business, II Data School researched areas of supporting medicine with disease surveillance studies. II Data Science continued to progress developing solutions for local and international policies on data management, technical solutions such as graph analytics and network and database automation, and marketing tools for the organization.
II Data School continued development of data science applications with the beta mobile application and a streaming service for Internet of Things devices. II Data Science also began promotional advertising for raising awareness about the organization on streaming television.
II Data School researched issues that data science can provide assistance with solving world problems such as promoting fair labour practices, developing analytics for governments and non-governmental organizations, and providing non-profit services. II Data School reviewed how data science can play an instrumental role in developing digital services and meeting program requirements. II Data School also reported on opportunities for data scientists to develop policies and regulations for privacy and security.
II Data School reviewed the role of data science for delivering financial services, predictive modelling, and computer service monitoring. Through the pandemic, II Data School evaluated emerging technical tools such as digital workspaces and low code applications supported by data science. II Data School began to enlist volunteers to contribute to the development of data science applications.
II Data School observed as the field of data science grew daily, new features in information technology such as explainable artificial intelligence, robotic process automation, fintech networks, and infrastructure and operation platforms began to integrate procedures of data science. II Data Science began to research explainable artificial intelligence. Explainable artificial intelligence provides paths that display the choices that artificial intelligence has made. Explainable artificial intelligence may be key to demonstrating more transparency in artificial intelligence algorithms. Explainable artificial intelligence helps algorithms to meet the requirements of fairness, accountability, and transparency in machine learning.
II Data School also researched data science in robotic process automation. Process automation combined with data science can provide for more security and value from automated processes. Robotic process automation can also provide for greater configuration and performance management in information technology systems.
II Data School explored fintech networks by providing methods for assessing the return on investment in financial systems. Data science can also support risk management in developing investment strategies for financial companies. Data science can provide the tools for fintech networks to scale and grow in providing more secure financial services.
II Data School implemented an infrastructure and operations platforms for management of software systems. Machine learning plays an active role in modern database management systems. Data science supports the algorithms in these systems by providing the tools to process the structure and format for modern databases. II Data School advanced their technological ecosystems and explored more opportunities for professionals in the field of data science. II Data Science launched four new features, II Data Climate, II Data Finance, II Data Medicine, and II Data Security. Each feature focused on a specific area of data science.
II Data School explored strategies for supporting health care professionals in response to the pandemic. II Data Science evaluated risk analysis, risk management, supply chain management, logistics, and operations support for disease surveillance and test tracing of the pandemic. II Data School began analyzing and displaying maps that showed the number of cases of the coronavirus per country. II Data School provided analysis of data from the World Health Organization and made visualizations with other data from the United Nations such as population and health expenditure data.
II Data School also launched AIMLBD, artificial intelligence, machine learning, and big data at the new website aimlbd.com. AIMLBD focused on many areas of technology, science, health, and business and II Data Science focused key areas of medical, financial, cybersecurity, and geological research.
II Data School continues to research practical applications of data science to serve as a resource for professionals and students. Support II Data School by purchasing the II Data School promotional CD that is available on Amazon Music. II Data School is currently earmarking the proceeds of the CD sales for publishing and conference fees.
