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: Methods, apparatus, and processor-readable storage media for automatically determining and implementing messaging characteristics using artificial intelligence techniques are provided herein.

Abstract: Methods, apparatus, and processor-readable storage media for automatically determining and implementing messaging characteristics using artificial intelligence techniques are provided herein.

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: 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: 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: 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 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.

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.