Abstract: Methods, apparatus, and processor-readable storage media for automatically generating and targeting communications using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining notification data associated with one or more software applications and/or one or more processing devices; determining at least one issue and one or more actions for resolving at least a portion of the issue(s) by processing at least a portion of the notification data using one or more artificial intelligence techniques; identifying at least one recipient of communication data related to the at least one issue by processing user-related data, across multiple users, in connection with the issue(s) and/or the action(s); generating the communication data including identification of the issue(s) and a recommendation for performing the action(s); and transmitting at least a portion of the communication data to the at least one recipient.

Abstract: An apparatus comprises a processing device configured to receive and parse a search request related to a given event to identify confident terms, and to determine a first subset of the confident terms which indirectly reference the given event and a second subset of the confident terms which are not in the first subset. The processing device is also configured to identify, for a given confident term in the second subset, terms having at least a threshold level of semantic similarity with the given confident term, and to construct a primary search query comprising the first and second subsets of the confident terms and additional search queries comprising the first subset of the confident terms and the identified one or more terms having at least the threshold level of semantic similarity with the given confident term. The processing device is further configured to execute the primary and additional search queries.

Abstract: An apparatus comprises a processing device configured to obtain one or more messages, the one or more messages being associated with management of a given one of one or more information technology assets in an information technology infrastructure, and to determine, based at least in part on content of a given one of the one or more messages, whether the given message is suitable for delivery in an audio format. The processing device is also configured, responsive to determining that the given message is suitable for delivery in the audio format, to convert the content of the given message into one or more audio messages. The processing device is further configured to select one or more audio output devices for delivery of the one or more audio messages, and to provide, to the selected one or more audio output devices, the one or more audio messages.

Abstract: Methods, apparatus, and processor-readable storage media for generating context-based and user-related predictions using artificial intelligence techniques are provided herein. An example computer-implemented method includes determining one or more user parameters by processing information related to a user in association with at least one web application; determining context information associated with the user accessing one or more portions of the at least one web application; generating one or more predictions associated with future use of the at least one web application by the user by processing at least a portion of the one or more user parameters and at least a portion of the context information using one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on the one or more predictions associated with future use of the at least one web application by the user.

Abstract: Methods, apparatus, and processor-readable storage media for generating automated workflows associated with LAR using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining data pertaining to a first set of software application(s) in association with at least one user device; identifying, by processing, using artificial intelligence techniques, data associated with one or more user devices related to the at least one user device, a second set of software application(s) related to at least a portion of the first set of software application(s); generating one or more automated workflows comprising LAR granted for the at least one user device, wherein the automated workflow(s) pertain to one or more operations to be carried out in connection with the at least one user device and the first set of software application(s) and/or the second set of software application(s); and performing one or more automated actions based on the automated workflow(s).

Abstract: A method comprises receiving a first set of data associated with a plurality of retroreflective features from a vehicle; retrieving a digital map comprising vectorized data associated with the plurality of retroreflective features and a location associated with the plurality of retroreflective features, the map previously generated based on monitoring a second set of data retrieved from a sensor of a second vehicle where the second set of data is associated with the plurality of retroreflective features near a road being driven by the second vehicle; generating a score for each retroreflective feature indicating a match between each retroreflective feature as indicated within the digital map and a location of each retroreflective feature as identified within the first set of data; and localizing the vehicle.

Abstract: Methods, apparatus, and processor-readable storage media for generating test cases for software testing using machine learning techniques are provided herein. An example computer-implemented method includes obtaining user input data associated with at least one software application; identifying one or more predetermined types of information, including one or more of topic-related information and entity-related information, from at least a portion of the user input data using at least a first set of one or more machine learning techniques; generating one or more test cases for testing at least a portion of the at least one software application by processing at least a portion of the identified information using at least a second set of one or more machine learning techniques; and performing one or more automated actions based at least in part on at least one of the one or more generated test cases.

Abstract: A method comprises monitoring, by a processor, using a sensor of a first vehicle, data associated with a retroreflective feature near a road being driven by the first vehicle; vectorizing, by the processor, the data associated with the retroreflective feature; generating, by the processor, a digital map including vectorized data associated with the retroreflective feature and a location associated with the retroreflective feature; receiving, by the processor, data associated with the retroreflective feature from a second vehicle; and executing, by the processor, a localization protocol to identify a location of the second vehicle using the digital map.

Abstract: An apparatus comprises a processing device configured to detect a user login to access a console of a computing device implementing a multi-level console interface comprising two or more levels each associated with a set of criteria, goals to be achieved, and actions relevant for achieving the goals. The processing device is also configured to determine a current state of the computing device, and to select a given level of the multi-level console interface based at least in part on mapping the current state to a given set of criteria associated with the given level. The processing device is further configured to provide, via the console of the computing device, an interface screen corresponding to the given level, the interface screen displaying the actions relevant for achieving the goals of the given level to facilitate transitioning of the computing device from the current state to a desired state.

Abstract: An apparatus comprises a processing device configured to receive a search query associated with a given user, to determine a user context specifying topics of interest and a level of detail sought by the given user, and to execute the search query to obtain search results. The processing device is also configured to apply natural language processing to the search results to assign classifications from a set defined based at least in part on the topics of interest of the given user. The processing device is further configured to utilize machine learning to filter the search results for relevancy based at least in part on the classifications assigned to the search results. The processing device is further configured to generate and provide to the given user a search response to the search query in a format selected based on the level of detail sought by the given user.

Abstract: An apparatus comprises a processing device configured to determine specifications for an information technology asset to be developed, and to identify, utilizing at least one machine learning model, whether at least one of the specifications for the information technology asset is defect-prone, wherein a given specification is identified as defect-prone responsive to at least one output of the at least one machine learning model indicating that the given specification has at least a threshold likelihood of resulting in one or more defects during development of the information technology asset. The processing device is also configured to establish a mapping between the one or more identified defect-prone specifications for the information technology asset and one or more components of the information technology asset, and to modify one or more development processes for the information technology asset based at least in part on the established mapping.

Abstract: An information handling system detects whether there is a power loss from an alternating current power source. In response to detecting the power loss from the alternating current power source, the system transmits a power loss signal to a display device that is coupled to the information handling system, and provides auxiliary power to the display device during the power loss.

Abstract: Methods, apparatus, and processor-readable storage media for converting text data to video data using artificial intelligence techniques are provided herein. An example computer-implemented method includes converting text data associated with a task into multiple action statements relating to user performance of at least a portion of the task; generating video data by processing at least a portion of the multiple action statements using one or more artificial intelligence techniques; compiling at least a portion of the generated video data into at least one video sequence corresponding to at least one action workflow for the user performance of the at least a portion of the task; and performing one or more automated actions based at least in part on the at least one video sequence.

Abstract: Methods, apparatus, and processor-readable storage media for task-related data processing using machine learning techniques are provided herein. An example computer-implemented method includes obtaining data related to at least one decision-making context in connection with at least one user; classifying at least a portion of the obtained data into one or more of multiple categories of action-related requirements associated with the at least one decision-making context; recommending one or more tasks in furtherance of the at least one decision-making context by processing at least a portion of the classified data using one or more machine learning techniques; and performing one or more automated actions based at least in part on the one or more recommended tasks.

Abstract: An apparatus comprises a processing device configured to receive and parse a search request related to a given event to identify confident terms, and to determine a first subset of the confident terms which indirectly reference the given event and a second subset of the confident terms which are not in the first subset. The processing device is also configured to identify, for a given confident term in the second subset, terms having at least a threshold level of semantic similarity with the given confident term, and to construct a primary search query comprising the first and second subsets of the confident terms and additional search queries comprising the first subset of the confident terms and the identified one or more terms having at least the threshold level of semantic similarity with the given confident term. The processing device is further configured to execute the primary and additional search queries.

Abstract: An apparatus comprises a processing device configured to detect a user login to access a console of a computing device implementing a multi-level console interface comprising two or more levels each associated with a set of criteria, goals to be achieved, and actions relevant for achieving the goals. The processing device is also configured to determine a current state of the computing device, and to select a given level of the multi-level console interface based at least in part on mapping the current state to a given set of criteria associated with the given level. The processing device is further configured to provide, via the console of the computing device, an interface screen corresponding to the given level, the interface screen displaying the actions relevant for achieving the goals of the given level to facilitate transitioning of the computing device from the current state to a desired state.

Abstract: An apparatus comprises a processing device configured to identify one or more message flows, a given one of the message flows comprising messages associated with management of a given information technology asset in an information technology infrastructure, and to parse the given message flow to identify branches in a sequence of the messages, a given branch comprising a given conditional clause and two or more possible action clause paths. The processing device is also configured to determine rankings of the possible action clause paths based at least in part on complexities of action clauses in the possible action clause paths, to select, for a given user, a particular action clause path based at least in part on the determined rankings of the possible action clause paths and a skill level of the given user, and to provide, to the given user, the selected action clause path.

Abstract: An apparatus comprises a processing device configured to obtain messages associated with actions taken in applications running on at least one information technology asset in an information technology infrastructure, and to parse the messages to create message records, a given message record associated with a given message identifying actions taken in a given one of the applications, entities for which the actions in the given application were performed, and topics that the given message is associated with. The processing device is also configured to determine cross-application dependencies between the actions based at least in part on correlating entities and topics across the message records, a given cross-application dependency characterizing a relationship between first and second actions taken in first and second ones of the applications.

Abstract: An apparatus comprises a processing device configured to obtain one or more messages, the one or more messages being associated with management of a given one of one or more information technology assets in an information technology infrastructure, and to determine, based at least in part on content of a given one of the one or more messages, whether the given message is suitable for delivery in an audio format. The processing device is also configured, responsive to determining that the given message is suitable for delivery in the audio format, to convert the content of the given message into one or more audio messages. The processing device is further configured to select one or more audio output devices for delivery of the one or more audio messages, and to provide, to the selected one or more audio output devices, the one or more audio messages.

Abstract: Methods, apparatus, and processor-readable storage media for automatically validating design parameters for enterprise applications are provided herein. An example computer-implemented method includes obtaining image data and code data of a given application associated with an enterprise; processing at least a portion of the image data against at least a portion of design parameters of the enterprise by processing the at least a portion of the image data and a set of design-compliant image data using similarity algorithms; processing at least a portion of the code data against at least a portion of the design parameters by performing an automated scan of the at least a portion of the code data against at least one code-related portion of the design parameters; and performing automated actions based on the processing of the image data and/or the processing of the code data.