Abstract: Present disclosure relates to a method and a user equipment (UE) for enhancing multimodal input content. The UE obtains text-blocks associated with multimodal input and determines a plurality of features for each of the text-blocks using a natural language processing (NLP) model and a neural network (NN) model. Further, the UE identifies usage pattern of the plurality of features based on historic data associated with the usage of the plurality of features using NN model. Thereafter, the UE generates personalized text for each of the textblocks based on the plurality of features and usage pattern. The UE inserts personalized emoticons based on context of text-blocks and lingo of each word using user lingo database. Thus, the UE eliminates manual correction of texts and enhances the readability of message/text entered by user.

Abstract: A method for intelligently reading displayed contents by an electronic device is provided. The method includes obtaining a screen representation based on a plurality of contents displayed on a screen of the electronic device. The method includes extracting a plurality of insights comprising at least one of intent, importance, emotion, sound representation and information sequence of the plurality of contents from the plurality of contents based on the screen representation. The method includes generating audio emulating the extracted plurality of insights.

Abstract: Described is a system for intelligent re-tiering of backup data stored on a cloud-based object storage. More specifically, the system may re-tier objects such that the system retains the ability to efficiently perform a full restore of backup data even when incremental backups are performed to a cloud-based object storage. To provide such a capability, the system may maintain a specialized metadata database that stores information indicating the backup time for each backup, and a list of objects required to perform a full restore to each of the backup times. Accordingly, when using a threshold time (e.g. expiry) to select object candidates for re-tiering, the system may leverage the metadata database to ensure that objects that may still need to be referenced are not unnecessarily moved to a lower storage tier.

Abstract: A system including persistent storage for storing an object repository and a user data backup. The system also includes a manager that obtains fragmented user data associated with an object that is potentially duplicative of an object stored in the object repository; makes a determination that the object is duplicative based on a copy of the object stored in the object repository; in response to making the determination, adds the fragmented user data to a user data backup without adding the object to the backup; associates the fragmented user data in the user data backup with the copy of the object stored in the object repository; and stores the user data backup in the persistent storage.

Abstract: Example systems and methods provide input suggestions to a user to improve user experience on user devices. The input suggestions can be fill information from another app on device to the present app being used by user, information for performing a search (without the user having to copy-paste data or entering the data manually), responses to a message/notification received by the user, information/content/data to be shared between apps (without switching between apps), and emojis/GIFs that can be used by the user. The method includes analyzing one or more content of one or more screen displayed on device, generating at least one of a logical tree structure and a data mashup model of the one or more analyzed content for each screen, and providing a recommendation to a user. The recommendation can be a connected action or an input suggestion.

Abstract: A resource usage platform is disclosed. The platform performs preemptive container load balancing, auto scaling, and placement in a computing system. Resource usage data is collected from containers and used to train a model that generates inferences regarding resource usage. The resource usage operations are performed based on the inferences and on environment data such as available resources, service needs, and hardware requirements.

Abstract: A backup manager for managing backup services includes persistent storage and a backup analyzer. The persistent storage includes a backup data repository and protection policies. The backup analyzer identifies a new backup stored in backup storage; performs a backup compatibility analysis on the new backup to determine inter-backup compatibility of the identified new backup; updates the backup data repository based on the inter-backup compatibility to obtain an updated backup data repository; and modifies a backup schedule using the updated backup data repository to meet a requirement of a protection policy of the protection policies.

Abstract: A system for providing backup services for limited-access user data includes persistent storage for storing a user data visualization enhanced user data backup and a manager. The manager identifies a backup generation event for limited-access user data based on a protection policy; in response to identifying the backup generation event, obtains fragmented user data from an application that gates access to the limited-access user data; obtains organizational metadata associated with the fragmented user data from the application; makes a determination that the fragmented user data is associated with a user data visualization; in response to making the determination, obtains user data visualization metadata associated with the fragmented user data from the application; and generates the user data enhanced user data backup using the organizational metadata, the user data visualization metadata, and the fragmented user data.

Abstract: A method and system for capturing asset protection metadata pertinent to analytics. Specifically, the disclosed method and system entail aggregating and maintaining asset protection metadata—i.e., metadata descriptive of performed asset backup and recovery operations—in a central location. The asset protection metadata may include information relevant to backup and recovery analytics and reporting, while the maintaining said metadata in the central location facilitates access of the metadata by third-party analytics services.

Abstract: A method and system for asset protection threat detection and mitigation using interactive graphics. Specifically, the disclosed method and system entail discerning protection vulnerabilities exhibited by assets (or databases) based on maintained backup metadata. These protection vulnerabilities may subsequently be visualized as part of a projected graphical user interface, which may not only disclose the protection vulnerabilities to a user but also may enable the user to rectify the disclosed protection vulnerabilities through on-demand asset backup operations.

Abstract: A system for providing data protection services for user data generated by an application, includes persistent storage for storing user data backups and a manager. The manager is programmed to identify a backup generation event for user data based on a protection policy, in response to identifying the backup generation event, obtain user data associated with the backup generation event from the application, select a calendar of calendars included in the user data, obtain user metadata associated with the calendar, and generate a user data backup using the user data and the user metadata, in which the user data backup comprises calendar events of the calendar and portions of the user metadata associated with the calendar events.

Abstract: A system for providing data protection services for user data generated by an application includes persistent storage that includes an archive storage and a backup storage. The system also includes a manager. The manager is programmed to generate data chunks using user data, generate backup object metadata associated with the data chunks; obtain previously generated backup object metadata associated with the user data using an archive value, make a first determination that at least one data chunk of the data chunks is to be archived using the backup object metadata and the previously generated backup object metadata, and, in response to the first determination: store the at least one data chunk in the archive storage as a portion of a user data backup, and store remaining data chunks of the data chunks in the backup storage as the remaining portion of the user data backup.

Abstract: A system for providing data protection services for user data associated with calendar groups generated by an application includes persistent storage for storing user data backups and a manager. The manager is programmed to identify a backup generation event for the user data associated with a calendar group based on a protection policy, obtain user data associated with the backup generation event from the application in response to identifying the backup generation event, select a calendar of calendars included in the user data, obtain user metadata associated with the calendar, generate calendar group information associated with the calendar using the user data and the user metadata, generate a user data backup using the user data, the calendar group information, and the user metadata, in which the user data backup comprises backup data and backup metadata.

Abstract: A system for providing backup services for limited-access user data includes persistent storage for storing a user data visualization enhanced user data backup and a manager. The manager identifies a backup generation event for limited-access user data based on a protection policy; in response to identifying the backup generation event, obtains fragmented user data from an application that gates access to the limited-access user data; obtains organizational metadata associated with the fragmented user data from the application; makes a determination that the fragmented user data is associated with a user data visualization; in response to making the determination, obtains user data visualization metadata associated with the fragmented user data from the application; and generates the user data enhanced user data backup using the organizational metadata, the user data visualization metadata, and the fragmented user data.

Abstract: A system for providing data protection services for user data generated by an application includes persistent storage that includes an archive storage and a backup storage. The system also includes a manager. The manager is programmed to generate data chunks using user data, generate backup object metadata associated with the data chunks; obtain previously generated backup object metadata associated with the user data using an archive value, make a first determination that at least one data chunk of the data chunks is to be archived using the backup object metadata and the previously generated backup object metadata, and, in response to the first determination: store the at least one data chunk in the archive storage as a portion of a user data backup, and store remaining data chunks of the data chunks in the backup storage as the remaining portion of the user data backup.

Abstract: Embodiments herein disclose a method and electronic device for predicting multi-modal drawings. The method includes: receiving, by the electronic device, at least one of a text input and strokes of a drawing and determining, by the electronic device, features associated with the text input and features associated with the strokes of the drawing. The method includes classifying, by the electronic device, the features associated with the text input and the features associated with the strokes of the drawing into one of a dominant feature and a non-dominant feature and performing, by the electronic device, early concatenation or late concatenation of the features based on the classification; classifying, by the electronic device, the strokes of the drawing based on the concatenation into a category using a deep neural network (DNN) model; and predicting, by the electronic device, primary drawings corresponding to the category.

Abstract: Described is a system (and method) for managing specialized metadata that may be used to manage and search incremental backup data stored on a cloud-based object storage. The system may create and store such metadata as part of a specialized metadata database that includes a data catalog and a backup catalog. The system may leverage the metadata database to initiate operations to efficiently manage incremental backup data stored on the object storage. For example, the metadata may be relied upon to efficiently reconstruct (e.g. synthetically) the client data to a point-in-time of any incremental backup. In addition, the metadata may include properties of the backed-up data, which are maintained separately from the backup data stored as objects. Accordingly, these properties may be searched to identify and locate backup data without having to retrieve the stored objects.

Abstract: In some embodiments, described is a system (and method) for providing an efficient preview capability for emails backed up to a cloud-based object storage. The email preview may be provided as part of an interface allowing a user to select individual emails to restore from the object storage. The system may extract specialized preview information as part of a backup procedure. The preview information may include metadata and email content. For example, the preview information may include various email details such as sender, receiver, subject line, time sent/received, filenames of any attachments, etc. The preview information may also include email content such as particular sentences from the email body containing keywords. The system may also store extracted preview information in a specialized manner such that the preview information may be retrieved without having to access the actual backup data.

Abstract: A system for providing data protection services for user data generated by an application, includes persistent storage for storing user data backups and a manager. The manager is programmed to identify a backup generation event for user data based on a protection policy, in response to identifying the backup generation event, obtain user data associated with the backup generation event from the application, select a calendar of calendars included in the user data, obtain user metadata associated with the calendar, and generate a user data backup using the user data and the user metadata, in which the user data backup comprises calendar events of the calendar and portions of the user metadata associated with the calendar events.

Abstract: Described is a system for synchronizing expiration times for incremental backup data stored on a cloud-based object storage. More particularly, the system may provide a layer of intelligence when updating the expiration times associated with backup data to ensure that a full recovery of the client data to a point-in-time of any incremental backup may be performed. To provide such a capability, the system may maintain specialized metadata identifying expiration times for objects and a list of objects required to perform a full recovery to a point-in-time for each of the performed backups (e.g. full or incremental). The system may access this metadata to identify which objects stored by a previous backup are still referenced by a subsequent backup. Based on the identified objects, the system may synchronize object expiration times to ensure objects are not prematurely deleted from the object storage.