Abstract: Detection of fraud in financial transactions is facilitated. A financial transaction is initiated by a user, and based on the financial transaction, information is obtained by an electronic device of the user. Using the information, the electronic device evaluates a set of rules personalized for the user; the set of rules to be used to determine whether the financial transaction is to be approved for the user. The electronic device provides an initial indication, based on the evaluating, of whether the financial transaction is to be approved.

Abstract: A method of predictively provisioning cloud resources based on human behaviors and heuristics includes monitoring a collection of events relating to a customer application as well as monitoring an infrastructure load on resources for the customer application. A causal relationship is evaluated between an event and the infrastructure load. A predictive rule is then constructed based on the causal relationship. Resource requirements are anticipated based on the predictive rule and a provisioning of resources in a service domain is requested for the anticipated resource requirements.

Abstract: A system for predictively provisioning cloud resources based on human behaviors and heuristics includes a computer processor and logic executable by the computer processor. The logic is configured to implement a method. The method includes monitoring a collection of events relating to a customer application as well as monitoring an infrastructure load on resources for the customer application. A causal relationship is evaluated between an event and the infrastructure load. A predictive rule is then constructed based on the causal relationship. Resource requirements are anticipated based on the predictive rule and a provisioning of resources in a service domain is requested for the anticipated resource requirements, according to exemplary embodiments.

Abstract: Detection of fraud in financial transactions is facilitated. A financial transaction is initiated by a user, and based on the financial transaction, information is obtained by an electronic device of the user. Using the information, the electronic device evaluates a set of rules personalized for the user; the set of rules to be used to determine whether the financial transaction is to be approved for the user. The electronic device provides an initial indication, based on the evaluating, of whether the financial transaction is to be approved.

Abstract: Detection of fraud in financial transactions is facilitated. A financial transaction is initiated by a user, and based on the financial transaction, information is obtained by an electronic device of the user. Using the information, the electronic device evaluates a set of rules personalized for the user; the set of rules to be used to determine whether the financial transaction is to be approved for the user. The electronic device provides an initial indication, based on the evaluating, of whether the financial transaction is to be approved.

Abstract: A method of predictively provisioning cloud resources based on human behaviors and heuristics includes monitoring a collection of events relating to a customer application as well as monitoring an infrastructure load on resources for the customer application. A causal relationship is evaluated between an event and the infrastructure load. A predictive rule is then constructed based on the causal relationship. Resource requirements are anticipated based on the predictive rule and a provisioning of resources in a service domain is requested for the anticipated resource requirements.

Abstract: Embodiments relate to predictively provisioning cloud resources based on human behaviors and heuristics. An aspect includes monitoring a collection of events relating to a customer application as well as monitoring an infrastructure load on resources for the customer application. A causal relationship is evaluated between an event and the infrastructure load. A predictive rule is then constructed based on the causal relationship. Resource requirements are anticipated based on the predictive rule and a provisioning of resources in a service domain is requested for the anticipated resource requirements.