Abstract: Systems and methods include a remote access controller of an IHS (Information Handling System) that provides remote management of the IHS. The remote access controller initiates an update of firmware used to operate a hardware component of the IHS by transmitting a firmware image to the hardware component via a first signaling pathway connecting the remote access controller to the hardware component. The remote access controller detects a failure in transmission of the firmware image to the hardware component via the first signaling pathway and identifies a second signaling pathway connecting the remote access controller to the hardware component. The remote access controller resumes transmission of the firmware image to the hardware component via the second signaling pathway and the firmware used to operate the hardware component is updated using the transmitted firmware image.

Abstract: Modified E1a regulatory sequences are provided, wherein at least one Pea3 binding site, or a functional portion thereof, is deleted. Also provided are modified E1a sequences that selectively express particular isoforms. Also provided is an E1b-19K clone insertion site. These modified sequences can be used individually, or in combination with one another, to provide tumor-selective expression of proteins.

Abstract: A method implemented in a Software as a Service (SaaS) management platform (SMP) is provided, including: receiving a plurality of expense records for a customer organization, wherein each one of the plurality of expense records identifies a user, a vendor, and an amount spent; using a first machine learning model to analyze the plurality of expense records and determine which ones of the expense records represent software purchases; using a second machine learning model to analyze the expense records that are determined to represent software purchases, and identify software titles that the software purchases are for; surfacing the expense records that represent software purchases, in association with their respective identified software titles, through a user interface of the SMP for the customer organization.

Abstract: A Software as a Service (SaaS) management platform (SMP) is provided, the SMP configured to perform a method including: receiving a plurality of expense records for a customer organization, wherein each one of the plurality of expense records identifies a user, a vendor, and an amount spent; using a first machine learning model to analyze the plurality of expense records and determine which ones of the expense records represent software purchases; using a second machine learning model to analyze the expense records that are determined to represent software purchases, and identify software titles that the software purchases are for; surfacing the expense records that represent software purchases, in association with their respective identified software titles, through a user interface of the SMP for the customer organization.

Abstract: A non-transitory computer-readable medium having program instructions for a method implemented in a Software as a Service (SaaS) management platform (SMP) is provided, including: receiving a plurality of expense records for a customer organization, wherein each one of the plurality of expense records identifies a user, a vendor, and an amount spent; using a first machine learning model to analyze the plurality of expense records and determine which ones of the expense records represent software purchases; using a second machine learning model to analyze the expense records that are determined to represent software purchases, and identify software titles that the software purchases are for; surfacing the expense records that represent software purchases, in association with their respective identified software titles, through a user interface of the SMP for the customer organization.

Abstract: A non-transitory computer-readable medium having program instructions for a method implemented in a Software as a Service (SaaS) management platform (SMP) is provided, including: receiving a plurality of expense records for a customer organization, wherein each one of the plurality of expense records identifies a user, a vendor, and an amount spent; using a first machine learning model to analyze the plurality of expense records and determine which ones of the expense records represent software purchases; using a second machine learning model to analyze the expense records that are determined to represent software purchases, and identify software titles that the software purchases are for; surfacing the expense records that represent software purchases, in association with their respective identified software titles, through a user interface of the SMP for the customer organization.

Abstract: A Software as a Service (SaaS) management platform (SMP) is provided, the SMP configured to perform a method including: receiving a plurality of expense records for a customer organization, wherein each one of the plurality of expense records identifies a user, a vendor, and an amount spent; using a first machine learning model to analyze the plurality of expense records and determine which ones of the expense records represent software purchases; using a second machine learning model to analyze the expense records that are determined to represent software purchases, and identify software titles that the software purchases are for; surfacing the expense records that represent software purchases, in association with their respective identified software titles, through a user interface of the SMP for the customer organization.

Abstract: Systems and methods include a remote access controller of an IHS (Information Handling System) that provides remote management of the IHS. The remote access controller initiates an update of firmware used to operate a hardware component of the IHS by transmitting a firmware image to the hardware component via a first signaling pathway connecting the remote access controller to the hardware component. The remote access controller detects a failure in transmission of the firmware image to the hardware component via the first signaling pathway and identifies a second signaling pathway connecting the remote access controller to the hardware component. The remote access controller resumes transmission of the firmware image to the hardware component via the second signaling pathway and the firmware used to operate the hardware component is updated using the transmitted firmware image.

Abstract: Embodiments of systems and methods to identify and remediate performance degradation during firmware update in a cluster environment are described. In an illustrative, non-limiting embodiment, an IHS may include computer-executable instructions to receive a request to perform a firmware update on a plurality of computing devices of a computing cluster, obtain an inventory of the computing cluster, and determine a scheduling sequence for updating the computing devices so that the performance of the cluster is optimally maintained. The instructions may then perform the firmware update on each of the computing devices according to the determined scheduling sequence.

Abstract: Embodiments of systems and methods to provide a firmware update to devices configured in a redundant configuration in an Information Handling System (IHS) are disclosed. In an illustrative, non-limiting embodiment, an IHS may include computer-executable instructions to receive a firmware update image associated with the firmware device, determine that the firmware update image possesses a critical sub-image portion, and schedule a firmware update to be performed in the future on the firmware device using the one firmware update image. The firmware update image conforms to a Platform Level Data Model (PLDM) protocol that is configured to perform rebootless firmware updates.

Abstract: A method implemented in a software as a service (SaaS) management platform, includes: receiving a plurality of contract files relating to purchases of a SaaS application; identifying terms in the plurality of contract files; assigning a normalization SKU to respective contract files based on the terms identified in the respective contract files; generating anonymized contract data by storing the terms of each contract file in association with the normalization SKU assigned to the contract file in an anonymous manner; responsive to a request from a client device, accessing the anonymized contract data to generate a distribution of terms of the anonymized contract data, generating benchmark data identifying an approximate location of terms of a given customer's contract file within the distribution, and returning the benchmark data to the client device for rendering through a user interface.

Abstract: A software as a service (SaaS) management platform, includes: an uploader process for receiving a plurality of contract files relating to purchases of a SaaS application; parsing logic that identifies terms in the plurality of contract files; normalization logic for assigning a normalization SKU to respective contract files based on the terms identified in the respective contract files; a background process that generates anonymized contract data by storing the terms of each contract file in association with the normalization SKU assigned to the contract file in an anonymous manner; a backend process that, responsive to a request from a client device, accesses the anonymized contract data to generate a distribution of terms of the anonymized contract data, generates benchmark data identifying an approximate location of terms of a given customer's contract file within the distribution, and returns the benchmark data to the client device for rendering through a user interface.

Abstract: Modified E1a regulatory sequences are provided, wherein at least one Pea3 binding site, or a functional portion thereof, is deleted. Also provided are modified E1a sequences that selectively express particular isoforms. Also provided is an E1b-19K clone insertion site. These modified sequences can be used individually, or in combination with one another, to provide tumor-selective expression of proteins.

Abstract: Modified E1a regulatory sequences are provided, wherein at least one Pea3 binding site, or a functional portion thereof, is deleted. Also provided are modified E1a sequences that selectively express particular isoforms. Also provided is an E1b-19K clone insertion site. These modified sequences can be used individually, or in combination with one another, to provide tumor-selective expression of proteins.

Abstract: Various methods and systems for performing analytics based on hierarchical categorization of content are provided. Analytics can be performed using an index building workflow and a classification workflow. In the index building workflow, documents are received and analyzed to extract features from the documents. Hierarchical category paths can be identified for the features. The documents are indexed to support searching the documents for the hierarchical category paths. In the classification workflow, a query, that includes or references content, may be received and analyzed to extract features from the content. The features are executed against a search engine that returns search result documents associated with hierarchical category paths. The hierarchical category paths from the search result documents may be used to generate a topic model of the content associated with the query.

Abstract: Search results are filtered using one or more rankers that evaluate a searcher intention to select items from a subset of search results. A subset of items may be provided that are responsive to a user search query. This subset of items may have one or more related properties and may be logically grouped together. A database of rankers may be evaluated and applied to the subset of items to determine items that are both relevant to the user search query and also correspond to a user intention for the search. As a result, the ranker may select and filter out certain items having one or more features that do not correspond to the user intention.

Abstract: A computational instance of a remote network management platform may be dedicated to a managed network. The managed network may use computing resources of a cloud-based service provider. One or more processors may be disposed within the computational instance and may cause a provider-neutral cloud discovery software application to: (i) obtain a specification that defines an interface for accessing the cloud-based service provider, a discoverable set of computing resources provided by the cloud-based service provider, and mappings between descriptions of the discoverable set of computing resources and the database tables disposed within the computational instance, (ii) log on to the cloud-based service provider by way of the interface, (iii) request and receive, from the cloud-based service provider, descriptions of the discoverable set of computing resources, and (iv) store, in fields of database tables, the descriptions of the discoverable set of computing resources in accordance with the mappings.

Abstract: A computational instance of a remote network management platform may be dedicated to a managed network that has access to computing resources of one or more remote networks. One or more server devices may be disposed within the computational instance and may cause a cloud service catalog software application to: (i) obtain a selection of a catalog item, where the catalog item defines prospective computing resources that provide a computing function, and where the selection includes a set of variables that associate the prospective computing resources with the one or more remote networks and determine configuration details for the prospective computing resources, (ii) populate a template representation with the variables, (iii) transmit the template representation to a server configured to identify target computing resources of the one or more remote networks and provision the target computing resources, and (iv) receive identification information related to the target computing resources.

Abstract: Modified E1a regulatory sequences are provided, wherein at least one Pea3 binding site, or a functional portion thereof, is deleted. Also provided are modified E1a sequences that selectively express particular isoforms. Also provided is an E1b-19K clone insertion site. These modified sequences can be used individually, or in combination with one another, to provide tumor-selective expression of proteins.

Abstract: Modified E1a regulatory sequences are provided, wherein at least one Pea3 binding site, or a functional portion thereof, is deleted. Also provided are modified E1a sequences that selectively express particular isoforms. Also provided is an E1b-19K clone insertion site. These modified sequences can be used individually, or in combination with one another, to provide tumor-selective expression of proteins.