Food & Beverages
Neoage team is working with cities, states and fedearal agencies to develop, evaluate and deploy AI technologie that scrutinizes eating establishments to protect users from food sickness. This technologies use training procedures, analytical procedures, and interpretation of big data; or with the application of data science procedures involving substantial amounts of information, often collected from multiple settings, over long periods of time, and including a large number of variables
Data science
Data science and big data are new areas to physical medicine and rehabilitation with important implications for practice and research. Data science also poses challenges involving building research capacity and expanding the traditional scientific culture within physical medicine and rehabilitation and rehabilitation science.
Oil & Gas
Advancement in technological improvements have resulted in daily generation of big data in oil and gas exploration and production industries.Managing these datasets is a major concern among oil and gas companies. Several reports indicated that managing these datasets is a major concern among oil and gas companies. NeoageML presents Big Data analytics tecchnologoes in both upstream and downstream oil and gas industry.Big Data involve huge data sets and in some cases complicated problems. It is very important to have access to innovative and powerful technologies to arrive at sustainable solutions
Big Data
Neoage Big data is the new technologies in handling and processing these massive datasets. These datasets are recorded in different varieties and generated in large volume in various operations of upstream and downstream oil and gas industry
Health Care
The extensive collection of health data through electronic health records, genomic sequencing, and digital health wearables has led to an exponentially growing amount of biomedical big data. The use of machine learning models could improve patient safety, improve quality of care, and reduce healthcare costs. Specifically, machine learning has the capability to augment the work of clinicians by processing the billions of patient data points that are stored in databases, and it has been successfully applied in many clinical applications already, such as identifying patients at high risk of being transferred to the ICU, diagnosing respiratory conditions from chest X-rays, detecting early signals of lung cancer, and detecting fraudulent and abusive health insurance claims.
Machine Learning
Machine learning, and more recently deep learning, are key techniques that have demonstrated the ability to translate these large health datasets into actionable knowledge
Finance and R&D
In finance, average options are popular financial products among corporations, institutional investors, and individual investors for risk management and investment because average options have the advantages of cheap prices and their payoffs are not very sensitive to the changes of the underlying asset prices at the maturity date, avoiding the manipulation of asset prices and option prices. The challenge is that pricing arithmetic average options requires traditional numerical methods with the drawbacks of expensive repetitive computations and non-realistic model assumptions.