Abstract: Apparatus and methods an artificial intelligence method of reducing failure in an informational flow of a data stream controlled by an Extract Transform Load process using a machine learning (“ML”) model training system are provided. The method may include deploying a software sensor that periodically captures data points for an extract job executed during an extract phase of the process. The method may also include building a behavior profile concurrently with the receipt of each of the data points. The method may further include comparing the behavior profile to behavior profiles stored in an Adverse Behavior Model database and behavior profiles stored in a Normal Behavior Model database. When the behavior profile is determined to have a threshold number of match points matching the behavior profile to behavior profiles in the Adverse Behavior Model database, the method may include increasing a target database storage capacity.

Abstract: Systems and methods for authenticating and executing a user request with increased security and efficiency are provided. A method may include receiving a selection from a user to restrict informational access of a selected administrator who is logged in to a system network, and locking access of the administrator to secure user information. The method may also include receiving, from the user, limited identifying information, and transmitting to the user, based on the limited identifying information, a uniform resource locator (URL) link and a one-time password (OTP). The method may also include achieving 2-factor authentication when the user accesses the URL link and submits the OTP, and receiving from the user the secure user information and a service request. In response to receiving the secure user information and the service request, the method may include executing a response to the service request via the system network.

Abstract: Apparatus and methods an artificial intelligence method of reducing failure in an informational flow of a data stream controlled by an Extract Transform Load process using a machine learning (“ML”) model training system are provided. The method may include deploying a software sensor that periodically captures data points for an extract job executed during an extract phase of the process. The method may also include building a behavior profile concurrently with the receipt of each of the data points. The method may further include comparing the behavior profile to behavior profiles stored in an Adverse Behavior Model database and behavior profiles stored in a Normal Behavior Model database. When the behavior profile is determined to have a threshold number of match points matching the behavior profile to behavior profiles in the Adverse Behavior Model database, the method may include increasing a target database storage capacity.

Abstract: Systems and methods for authenticating and executing a user request with increased security and efficiency are provided. A method may include receiving a selection from a user to restrict informational access of a selected administrator who is logged in to a system network, and locking access of the administrator to secure user information. The method may also include receiving, from the user, limited identifying information, and transmitting to the user, based on the limited identifying information, a uniform resource locator (URL) link and a one-time password (OTP). The method may also include achieving 2-factor authentication when the user accesses the URL link and submits the OTP, and receiving from the user the secure user information and a service request. In response to receiving the secure user information and the service request, the method may include executing a response to the service request via the system network.