Best Value Sourcing
Solicitation Creation & Approval Workflow (SCAW)
RFP Process & Evaluation
Supplier Performance Monitoring
Policies and Procedures
Analytics & AI
Big Data Analytics
Data care, cleanup, imputation
Biomarker Data Analytics
Big Data for Injuries
Blockchain Use Cases
Deep Reinforced Learning
Natural Language Processing
We apply Sysoft Tools for Diagnostic, Descriptive, Prescriptive, Predictive and Optimizing analytics in Investment Banking domains.
Typical applications include:
Monitoring vast reams of data with predictive analytics and integral real time visualization to assist asset-allocation decisions for clients.
Natural Language Processing and Text Mining of research reports and product information.
Use of deep learning algorithms in mining of large volumes of complex data sets from heterogeneous networks.
Data care and cleanup, missing value imputation and statistical validation of high volume fast streamed data for supervised and unsupervised predictive analytics.
Integration with banks’ legacy systems.
Application of dynamic programming and deep learning techniques in risk optimization.