Isiselo esiyintandokazi ye-BSF ngumbethe wasentambama kunye neentyantyambo zokutshiza ubusi. Kwikholeji ekuthunjiweyo sinokunika ishukela yeJava njengenxalenye yobusi. 1. Ziziphi izinto eziphazamisayo uNehemiya awafika zisenzeka xa wabuyela eYerusalem? (Bona umfanekiso osekuqaleni.) predictive modeling. predictive modeling identifies and mathematically represents underlying relationships in historical data in order to explain the data and make predictions or classifications about future events. our models summarize large quantities of data to amplify its value. predictive models typically analyze current and historical data on individuals to produce easily understood metrics such as scores. these scores rank--order individuals by likely future performance, e.g., their likelihood of making credit payments on time, or of responding to a particular offer for services. we also include in this category models that detect the likelihood of a transaction being fraudulent. our predictive models are frequently operationalized in mission--critical transactional systems and drive decisions and actions in near real time. a number of analytic methodologies underlie our products in this area. these include proprietary applications of both linear and nonlinear mathematical programming algorithms, in which one objective is optimized within a set of constraints, and advanced neural systems, which learn complex patterns from large data sets to predict the probability that a new individual will exhibit certain behaviors of business interest. we also apply various related statistical techniques for analysis and pattern detection within large datasets, and have enhanced our abilities to derive insights and predictive variables from various forms of so--called big data, including unstructured data, such as text. we have enhanced our predictive analytic capabilities to include the development of machine learning algorithms and artificial intelligence. fico has focused on making artificial intelligence explainable to auditors, developers and decision makers.