Abstract: The present disclosure provides dynamic routing for data flows to a customer network hosted in the cloud. A plurality of compute instances may share a common virtual IP address. Each of the plurality of compute instances may advertise information to a respective network virtualization device (NVD). The information may include the IP address, cost, and/or active/standby status of the compute instance. The NVD may then provide the information to the control plane of a virtual cloud network (VCN), which may aggregate the information from the plurality of compute instances and generate a forwarding table, which may be sent to the NVDs. These techniques may allow a customer to automatically remove a compute instance whose service host has failed. These techniques may also allow a customer to add compute instances and to route data flows according to an active-standby operation, an equal cost active-active operation, or an unequal cost active-active operation.

Abstract: Disclosed techniques relate to orchestrating power consumption reductions across a number of hosts. A current value for an aggregate power threshold of a plurality of hosts may be identified. During a first time period, an aggregate power consumption of the plurality of hosts may be managed using the current value for the aggregate power threshold. A triggering event indicating a modification to the aggregate power threshold is needed may be detected. A new value for the aggregate power threshold may be determined based on the triggering event. During a second time period, the aggregate power consumption of the plurality of hosts may be managed using the new value for the aggregate power threshold.

Abstract: Disclosed techniques relate to orchestrating power consumption reductions across a number of hosts. A number of response levels may be utilized, each having an association to a corresponding set of reduction actions. The impact to customers, hosts, and/or workloads can be computed at run time based on current and/or predicted conditions and workloads, and a particular response level can be selected based on the computed impact. These techniques enable a sufficient, but least impactful response to be employed.

Abstract: Disclosed techniques relate to orchestrating power consumption reductions across a number of hosts. Power consumption of power-drawing devices (e.g., hosts, servers, etc.) may be monitored with respect to a power threshold. When the current power consumption corresponding to those devices breaches the power threshold, or at any suitable time, the system may identify a set of reduction actions configured to reduce aggregate power consumption. The power threshold may be updated dynamically based on the operational status of related systems and environmental factors. A number of response levels may be utilized, each having an association to a corresponding set of reduction actions. The impact to customers, hosts, and/or workloads can be computed at run time based on current conditions and workloads, and a particular response level can be selected based on the computed impact. These techniques enable a sufficient, but least impactful response to be employed.

Abstract: Techniques are disclosed herein for a direct launch for asynchronous actions. An example method can include receiving, by a device, a first workflow request, wherein the device comprises a first launcher in operable communication with a second launcher via a shared queue, and wherein a first duplicate of the first workflow request is stored in the shared queue is to be retrieved by the second launcher upon an elapsing of a threshold time interval. The device can transmit the workflow request to an application for executing the first workflow request, wherein the transmission is prior to the threshold time elapsing. The device can determine whether the application initiated a workflow to process the workflow request. The device can update the first duplicate of the first workflow request stored at the shared queue based at least in part on the determination and prior to the threshold time interval elapsing.

Abstract: Techniques for generating smart contract transaction data from a program embedded in the smart contract are disclosed. A distributed ledger system stores a smart contract specifying conditions of a transaction. Based on a user input to initiate the transaction, the system executes the smart contract transaction on the distributed ledger. A node executing the smart contract transaction executes the transaction verification program embedded within the smart contract. The transaction verification program includes instructions for transmitting the parameters of the transaction to a third party.

Abstract: Techniques for configuring a software system include generating a hierarchy of entities representing usage of the software system by a set of users, wherein the hierarchy includes a first set of nodes representing a set of tasks, a second set of nodes representing a set of components that implement the tasks, and a set of edges between the first set of nodes and the second set of nodes. The techniques also include updating the hierarchy based on a first set of configurations for the tasks, wherein the updated hierarchy indicates one or more tasks that have been enabled for the users. The techniques further include determining, based on the updated hierarchy, one or more components that implement the task(s). Finally, the techniques include generating, based on the hierarchy, one or more runbooks that execute the task(s) using the component(s).

Abstract: The present disclosure is directed to devices and techniques for auto-qualifying images on new hardware or infrastructure configurations. The systems and methods include initiating an auto-qualification process for pre-testing one or more images registered within a bare metal system having one or more new infrastructure configurations, discovering all of the one or more images registered for use within the bare metal system, booting each of the one or more registered images into an isolated infrastructure having the one or more new infrastructure configurations, probing instances of each of the one or more registered images booted on the isolated infrastructure to determine stability of each of the one or more registered images on the one or more new infrastructure configurations, and marking each of the one or more registered images as stable or unstable.

Abstract: A plurality of GPU clusters are communicatively coupled with one another via a plurality of network devices arranged in a hierarchical structure, wherein the GPU clusters includes at least a first GPU cluster operating at a first speed and a second GPU cluster operating at a second speed that is different than the first speed. A routing policy is configured for each network device, wherein the configuring includes establishing a mapping of each incoming port-link of the network device to a unique outgoing port-link of the network device. For a packet transmitted by a GPU of a host machine and received by a first network device, an incoming port-link of the first network device is determined on which the packet was received and based on the configuring, an outgoing port-link is identified that corresponds to the incoming port-link. The packet is forwarded on the outgoing port-link of the network device.

Abstract: Described herein is a network fabric including a plurality of graphical processing unit (GPU) clusters. The plurality of GPU clusters includes at least a first GPU cluster operating at a first speed and a second GPU cluster operating at a second speed that is different than the first speed. The network fabric includes a plurality of blocks, wherein each block includes: (a) one or more racks that host a GPU cluster, and (b) a plurality of switches arranged in a hierarchical structure that communicatively couple the block to other blocks included in the network fabric. Responsive to receiving a request to execute a workload, allocating one or more GPUs from the plurality of GPU clusters to execute the workload.

Abstract: A pseudo language is provided for manipulating the complex variables associated with the orchestration flow. Verbs are specified in the pseudo language. The verbs cause operations to be performed on the complex variables during processing of the orchestration flow. A first verb of the verbs is specified with a first operation of the operations The first operation, when processed, transfers data from a first set of source elements in a source complex variable to new target elements in a target complex variable based on a description of a target schema of the target complex variable. The target complex variable does not include the first subset of source elements and the target schema includes the description of the first subset of the source elements.

Abstract: An event processing system for processing events in an event stream is disclosed. The system can launch a first CQL engine in a cluster of CQL engines using a CQL engine tracking engine. The system can schedule, using the CQL engine tracking engine, the first CQL engine to process a batch of a continuous stream of input events related to an application. The system can track, using the CQL engine tracking engine, the first CQL engine to be scheduled for execution. The system can then execute, using the CQL engine tracking engine, the first CQL engine to process the batch of the continuous stream of input events to generate a set of output events related to the application.

Abstract: Herein is innovative control flow integrity (CFI) based on code generation techniques that instrument data protection for access control of subroutines invoked across module boundaries. This approach is counterintuitive because, even though code is stored separately from data, access control to the data is used to provide access control to the code. In an embodiment, an instrumentation computer generates, at the beginning of a subroutine that is implemented in machine instructions, a prologue that contains: a first instruction of the subroutine that indicates that the first instruction is a target of a control flow branch and a second instruction of the subroutine that verifies that a memory address is accessible. Generated in the machine instructions are instruction(s) that, when executed by a processor, cause the memory address to have limited accessibility. Some code generation may be performed at the start of runtime by a loader or a dynamic linker.

Abstract: A method for providing for optimized service based interface (SBI) communications by performing network function (NF) fully qualified domain name (FQDN) resolution at an NF repository function (NRF) includes, at an NRF including at least one processor, receiving NF register requests including NF profiles and/or NF service profiles, at least some of which include FQDNs and do not include Internet protocol (IP) addresses. The method further includes storing the NF profiles and/or NF service profiles in an NF profiles database. The method further includes resolving the FQDNs in NF profiles and/or NF service profiles into IP addresses. The method further includes receiving NF discovery requests. The method further includes generating lists of NF profiles and/or NF service profiles that match query parameters in the NF discovery requests. The method further includes providing the lists of NF profiles and/or NF service profiles including the IP addresses to consumer NFs in NF discovery responses.

Abstract: Systems, devices, and methods of the present invention detect rhetoric agreement between texts. In an example, a rhetoric agreement application accesses a multi-part initial query and generates a question communicative discourse tree that represents rhetorical relationships between fragments of the query. The application identifies a sub-communication discourse tree from the question communicative discourse tree. The application generates a candidate answer communicative discourse tree for each candidate answer of a set of candidate answers. The application computes a level of complementarity between the sub-discourse tree and each candidate answer discourse tree by applying a classification model to the sub-communication discourse tree and candidate answer communicative discourse trees. The application selects an answer from the candidate answers based on the computed complementarity, thereby building a dialogue structure of an interactive session.

Abstract: Techniques are described for creating a network-link between a first virtual network in a first cloud environment and a second virtual network in a second cloud environment. The first virtual network in the first cloud environment is created to enable a user associated with a customer tenancy in the second cloud environment to access one or more services provided in the first cloud environment. The network-link is created based on one or more link-enabling virtual networks being deployed in the first cloud environment and the second cloud environment.

Abstract: The present disclosure relates to chatbot systems, and more particularly, to techniques for identifying an explicit invocation of a chatbot and determining an input for the chatbot being invoked. In certain embodiments, explicit invocation analysis involves detecting an invocation name in an utterance. The invocation name is an identifier assigned to a particular chatbot. In response to detection of the invocation name, the utterance is refined for input to the particular chatbot by determining which parts of the utterance, if any, contain relevant information for the particular chatbot and generating a new utterance, using the relevant parts of the utterance, for processing by the particular chatbot. The refining can involve removal of a portion of the utterance associated with the invocation name.

Abstract: Techniques for business-to-business (B2B) chat routing are disclosed, including: receiving, by a B2B chatbot during a chat session with a user, user input including a user-supplied business name; performing a business lookup based at least on the user-supplied business name, to obtain a canonical business name and a unique business identifier associated with the canonical business name; performing a customer relationship management (CRM) system lookup based at least on the unique business identifier, to identify a corresponding business account; routing the chat session from the B2B chatbot to a human chat agent assigned to the corresponding business account.

Abstract: In response to a request to replicate resources from a primary region data center to a secondary region data center, an executable configuration file that describes the resources and their configuration is created utilizing information about the resources at the primary region data center. A correspondence table is also updated to include entries for to such resources. Utilizing the correspondence table, the executable configuration file is transformed to create a transformed executable configuration file that references the resources utilizing generic resource identifiers instead of primary region identifiers used within the primary region data center. The transformed executable configuration file is then executed at the secondary region data center to create replicated resources at the secondary region data center.

Abstract: A method includes accessing document including sentences, document being associated with configuration flag indicating whether ABSA, SLSA, or both are to be performed; inputting the document into language model that generates chunks of token embeddings for the document; and, based on the configuration flag, performing at least one from among the ABSA and the SLSA by inputting the chunks of token embeddings into a multi-task model. When performing the SLSA, a part of token embeddings in each of the chunks is masked, and the masked token embeddings do not belong to a particular sentence on which the SLSA is performed.

Abstract: Continual learning techniques are described for extending the capabilities of a base model, which is trained to predict a set of existing or base classes, to generate a target model that is capable of making predictions for both the existing or base classes and additionally for making predictions for new or custom classes. The techniques described herein enable the target model to be trained such that the model can make predictions involving both base classes and custom classes with high levels of accuracy.

Abstract: Disclosed herein are techniques for using a generative adversarial network (GAN) to train a semantic parser of a dialog system. A method described herein involves accessing seed data that includes seed tuples. Each seed tuple includes a respective seed utterance and a respective seed logical form corresponding to the respective seed utterance. The method further includes training a semantic parser and a discriminator in a GAN. The semantic parser learns to map utterances to logical forms based on output from the discriminator, and the discriminator learns to recognize authentic logical forms based on output from the semantic parser. The semantic parser may then be integrated into a dialog system.

Abstract: According to certain implementations, a certificate management service of a cloud service provider requests a certificate for a domain from a certificate authority utilizing an HTTP-based challenge. The certificate authority responds with a challenge string and a subdirectory within the domain. The challenge string and subdirectory within the domain are sent from the certificate management service to a proxy server of the cloud service provider that manages a flow of data to a host that hosts the domain. When the certificate authority sends a request to the sub directory within the domain, the request is intercepted at the proxy server. Instead of forwarding the request to the host that hosts the domain, the proxy server responds to the certificate authority with the challenge string. This verifies ownership of the domain, which is required to obtain the certificate for the domain.

Abstract: Techniques are described for creating a container environment that implements direct communications between pods. This includes the creation of a management component (such as a control plane) of the container environment, the creation of nodes within an implementation component (such as a data plane) of the container environment, and the attaching of virtualized network interface cards (VNICs) to each node. This also includes creating a custom resource for each node, where the custom resource stores internet protocol (IP) addresses assigned to the node and stored within the VNICs for the node. Pods implemented within these nodes obtain an IP address from the VNICs for their respective node and communicate with each other utilizing the IP addresses via virtual communication devices and the VNICs.

Abstract: A computing system may access a source device configured to store device traffic in a source device queue. The computing system may launch, by one or more worker nodes of a control plane of the computing device, a destination device. The computing system may transmit a source device state to the destination device. The control plane worker nodes may configure the destination device from the source device state. The computing system may instruct the source device to pause storing the device traffic to the source device guest memory. The computing system may store dirty page information in the computing system memory. The computing system may transmit the dirty page information to the destination guest memory. The computing system may instruct the destination device to resume storing the device traffic to the destination guest memory.

Abstract: The present embodiments relate to identifying and mitigating memory bit flips in a cloud infrastructure service. The cloud infrastructure service can provide a monitoring system to monitor low level memory space to detect bit flips by the DRAM instances in the cloud infrastructure service. The bit flips detected in various DRAM computing instances can be processed to verify that the bit flips are sustained (e.g., and possibly relating to a Rowhammer attack) rather than transitory bit flips occurring in DRAM computing devices. Responsive to validating a set of bit flips at one or more computing instances, workloads associated with the affected computing instances can be migrated to other computing instances in the cloud infrastructure service.

Abstract: A parametric constant resolves to different values in different contexts, but a single value within a particular context. An anchor constant is a parametric constant that allows for a degree of parametricity for an API point. The context for the anchor constant is provided by a caller to the API point. The anchor constant resolves to an anchor value that records specialization decisions for the API point within the provided context. Specialization decisions may include type restrictions, memory layout, and/or memory size. The anchor value together with an unspecialized type of the API point result in a specialized type of the API point. A class object representing the specialized type is created. The class object may be accessible to the caller, but the full value of the anchor value is not accessible to the caller. The API point is executed based on the specialization decisions embodied in the anchor value.

Abstract: Disclosed is a system, method, and computer program product for implementing a log analytics method and system that can configure, collect, and analyze log records in an efficient manner. Machine learning-based classification can be performed to classify logs. This approach is used to group logs automatically using a machine learning infrastructure.

Abstract: A continuous query identified by an archived relation of an application may be received. A physical query plan may be generated for the continuous query and/or a child operator plan may be identified. A buffer operator may be inserted between the child operator and its parent operator and/or the event information from the child operator may be stored in the buffer operator. A query operator may be identified in the physical query plan. It may be determined that the query operator identified in the physical query plan is a same type as a second query operator in a second continuous query concurrently executing. Further, a combined query plan may be generated based at least in part on the query operator identified in the physical query plan being the same type as the second query operator in the second continuous query.

Abstract: Techniques for noise data augmentation for training chatbot systems in natural language processing. In one particular aspect, a method is provided that includes receiving a training set of utterances for training an intent classifier to identify one or more intents for one or more utterances; augmenting the training set of utterances with noise text to generate an augmented training set of utterances; and training the intent classifier using the augmented training set of utterances. The augmenting includes: obtaining the noise text from a list of words, a text corpus, a publication, a dictionary, or any combination thereof irrelevant of original text within the utterances of the training set of utterances, and incorporating the noise text within the utterances relative to the original text in the utterances of the training set of utterances at a predefined augmentation ratio to generate augmented utterances.

Abstract: Techniques for modifying queries in a set of nested queries are disclosed. A graphical user interface displays a query detail region alongside a nested query display region. The graphical user interface includes functionality to provide for modification of queries in the nested set of queries. Based on a selection by a user, a query modification tool promotes a query attribute from a child query to one or more parent queries. Based on another selection by a user associated with one query in the set of nested queries, the system deletes an attribute from each query in the set of nested queries. Responsive to a selection to create multiple conditions for a query rule, the system modifies the functionality of the user interface to enable entry of multiple condition characteristics. Based on a further selection, the system creates the multiple conditions for the query rule.

Abstract: Techniques for managing lifecycles of sets of foreign resources are disclosed, including: opening, in a runtime environment configured to use a garbage collector to manage memory in a heap, a memory session; allocating a first subset of a set of foreign memory to a memory segment associated with the memory session, the foreign memory including off-heap memory that is not managed by the garbage collector; encountering, in the runtime environment, an instruction to close the memory session; responsive to encountering the instruction to close the memory session, deallocating the subset of the set of foreign memory.

Abstract: A manager file system (MFS), implemented using an OS process, exposes a path in the native file system as the root of its file system (e.g., mount point). The MFS informs the OS kernel that any file system operation whose path contains the mount point as its prefix, should be handed over to the process by invoking an appropriate interface method that the process implements as part of its file system implementation. The MFS manages one or more applications and leverages the authentication mechanism of the OS to provide fined-grained access control of MFS managed applications.

Abstract: Techniques discussed herein relate to implementing a distributed computing cluster (the “cluster”) including a plurality of edge devices (e.g., devices individually configured to selectively execute within an isolated computing environment). One edge device may be configured to operate as a head node of the cluster at a given time. A request for virtual resources of the cluster may be received from a user device and directed to the first edge device of the cluster. The first edge device may determine it is not operating as a head node of the cluster. The first edge device may determine that a second edge device of the cluster is operating as the head node. In response, the first edge device may forward the request to the second edge device, wherein forwarding the request to the second edge device causes the second request to be processed by the cluster.

Abstract: Techniques discussed herein relate to managing aspects of provisioning cloud-computing edge devices. In some embodiments, a user request specifying one or more resources to be provisioned at a cloud-computing edge device may be received by a cloud-computing device operated by a cloud-computing provider. An ephemeral credential may be generated for the edge device and used to determine whether access control policies exist that enable the edge device to access the resource(s). If the resource(s) are accessible, a manifest may be generated in accordance with the user request. The manifest may specify a configuration for the cloud-computing edge device and includes information related to the resource. Operations may be subsequently executed to provision the cloud-computing edge device in accordance with the manifest. However, if the resource(s) are not accessible, the user request may be denied.

Abstract: A shared-nothing database system is provided in which parallelism and workload balancing are increased by assigning the rows of each table to “slices”, and storing multiple copies (“duplicas”) of each slice across the persistent storage of multiple nodes of the shared-nothing database system. When the data for a table is distributed among the nodes of a shared-nothing system in this manner, requests to read data from a particular row of the table may be handled by any node that stores a duplica of the slice to which the row is assigned. For each slice, a single duplica of the slice is designated as the “primary duplica”. All DML operations (e.g. inserts, deletes, updates, etc.) that target a particular row of the table are performed by the node that has the primary duplica of the slice to which the particular row is assigned. The changes made by the DML operations are then propagated from the primary duplica to the other duplicas (“secondary duplicas”) of the same slice.

Abstract: Techniques for using enhanced logit values for classifying utterances and messages input to chatbot systems in natural language processing. A method can include a chatbot system receiving an utterance generated by a user interacting with the chatbot system and inputting the utterance into a machine-learning model including a series of network layers. A final network layer of the series of network layers can include a logit function. The machine-learning model can map a first probability for a resolvable class to a first logit value using the logit function. The machine-learning model can map a second probability for a unresolvable class to an enhanced logit value. The method can also include the chatbot system classifying the utterance as the resolvable class or the unresolvable class based on the first logit value and the enhanced logit value.

Abstract: Techniques for identity management, and more particularly, to techniques for dynamically assigning membership to users in the system based on dynamic rules. In one aspect a computer-implement method is provided that breaks down the processing from a single large thread or operation into multiple minutest level threads or operations and makes use of event driven architecture used in distributed environments such as a cloud environment, to achieve a scalable model and can work seamlessly for multi-tenant applications. Every sub problem is assigned to a dedicated set of subscribers on a messaging service for processing.

Abstract: In accordance with an embodiment, described herein is system and method for use with software application development environments, for determining attribution associated with licensed software code. The system can receive as input an indication of a source application codebase for a software application, determine dependencies on third-party modules, libraries, or other software code, and output associated license attributions for that codebase. Optionally, the system can combine and/or de-duplicate multiple sets of attributions associated with a source application codebase, or generate a set of differences between two versions of attributions, to illustrate changes between the versions. In accordance with an embodiment, if the system detects potential licensing issues associated with the use of third-party modules, libraries, or other software code, then an appropriate notification can be generated.

Abstract: Methods, systems, and computer readable media for validating subscriber entities against spoofing attacks in a communications network are disclosed. One method includes receiving, by a proxy element, a subscriber authentication request message that is sent from an access and mobility management function (AMF) and is directed to a unified data management (UDM) function in a home network, creating, by the proxy element, a record entry including a subscriber identifier and a public land mobile network (PLMN) identifier contained in the subscriber authentication request message, wherein the record entry is stored in an authentication registry database prior to forwarding the subscriber authentication request message to the UDM function.

Abstract: Client data corresponding to a single client can be stored. A decision to proceed with a defragmentation of two or more particular core groups can be determined. A destination core group to receive client data can be identified. At least one additional core group can be initiated to manage interim data write requests from the single client. Each of the two or more particular core groups can be closed to data write requests. A defragmentation of the two or more particular core groups can be performed by merging into the destination core group. The destination core group can be availed to data read and delete requests. The two or more fragmented core groups can be reallocated for other uses. The additional core groups continue to receive read and write requests. The destination core groups further can be merged and defragmented further.

Abstract: A data object has a lock and a condition indicator associated with it. Based at least partly on detecting a first setting of the condition indicator, a reader stores an indication that the reader has obtained read access to the data object in an element of a readers structure and reads the data object without acquiring the lock. A writer detects the first setting and replaces it with a second setting, indicating that the lock is to be acquired by readers before reading the data object. Prior to performing a write on the data object, the writer verifies that one or more elements of the readers structure have been cleared.

Abstract: Approaches of reassigning a home region from a first data center to a second data center as requested by a customer are described herein. The home region is able to implement write operations to a domain, whereas other data centers cannot implement write operations to the domain. The customer can request the home region being reassigned to another data center such that the customer can utilize the other data center to implement write operations to the domain.

Abstract: Techniques for perspective-preserving seamless application switching are disclosed. A system may display a first interface using a first application. The first interface includes interface elements representing a plurality of objects. The system may detect a zoom-in command, received by the first application, requesting a particular zoom level for a first interface element, corresponding to a first object in the first plurality of objects. The system may determine that the requested zoom level exceeds a threshold. Responsive to determining that the requested zoom level exceeds the threshold, the system may display, using a second application, a second interface corresponding to the first object. The second interface may include one or more of: (a) characteristics associated with the first object that were not displayed by the first application, or (b) user input elements for executing operations associated with the first object that were not displayed by the first application.

Abstract: Techniques are described for a hierarchical caching mechanism enabling efficient cross-region replications. In some embodiments, replication-related information (e.g., key-value pairs) is stored in a particular layout in a binary tree (B-tree) of a file system for replication processing. A hierarchy of caches storing a first type of information (e.g., crypto keys associated with iNodes) may be arranged to match the particular layout in the B-tree to enable efficient parallel processing of a second type of information (e.g., files, file data, or symbolic links), where the replication-related information in the B-tree is partitioned into multiple key ranges for parallel processing. In some embodiments, the caches in different hierarchies may be shared by different parallel-processing key ranges and replication jobs in a file system.

Abstract: A computer-implemented method includes: accessing a plurality of datasets, where each dataset of the plurality of datasets includes training examples; selecting datasets that include the training examples in a source language and a target language; and sampling, based on a sampling weight that is determined for each of the selected datasets, the training examples from the selected datasets to generate the training batches; training an ML model for performing at least a first task using the training examples of the training batches, by interleavingly inputting the training batches to the ML model; and outputting the trained ML model configured to perform the at least the first task on input utterances provided in at least one among the source language and the target language. The sampling weight is determined for each of the selected datasets based on one or more attributes common to the training examples of the selected dataset.

Abstract: The present disclosure is related to techniques for converting a natural language utterance to a logical form query and deriving a natural language interpretation of the logical form query. The techniques include accessing a Meaning Resource Language (MRL) query and converting the MRL query into a MRL structure including logical form statements. The converting includes extracting operations and associated attributes from the MRL query and generating the logical form statements from the operations and associated attributes. The techniques further include translating each of the logical form statements into a natural language expression based on a grammar data structure that includes a set of rules for translating logical form statements into corresponding natural language expressions, combining the natural language expressions into a single natural language expression, and providing the single natural language expression as an interpretation of the natural language utterance.

Abstract: Systems and methods for implementing extensible attributes in ETL are disclosed. In some examples, attributes configured at a source file may be extracted from the source file. The extracted attributes can be mapped to a target column of a data warehouse table, and then a dynamic ETL script may be generated. The dynamic script may be executed to move data associated with the attributes to an appropriate new column of the data warehouse.

Abstract: The present invention relates to machine learning (ML) explainability (MLX). Herein are local explanation techniques for black box ML models based on coalitions of features in a dataset. In an embodiment, a computer receives a request to generate a local explanation of which coalitions of features caused an anomaly detector to detect an anomaly. During unsupervised generation of a new coalition, a first feature is randomly selected from features in a dataset. Which additional features in the dataset can join the coalition, because they have mutual information with the first feature that exceeds a threshold, is detected. For each feature that is not in the coalition, values of the feature are permuted in imperfect copies of original tuples in the dataset. An average anomaly score of the imperfect copies is measured. Based on the average anomaly score of the imperfect copies, a local explanation is generated that references (e.g. defines) the coalition.

Abstract: In accordance with an embodiment, described herein are systems and methods for use with an analytic applications environment, for determination of recommendations and alerts in such environments. A data pipeline or process can operate in accordance with an analytic applications schema adapted to address particular analytics use cases or best practices, to receive data from a customer's (tenant's) enterprise software application or data environment, for loading into a data warehouse instance. When provided as part of a software-as-a-service (SaaS) or cloud environment, the data sourced from a plurality of organizations can be aggregated, to leverage information gleaned from the collective or shared data. The system can be used to generate semantic alerts, including obtaining permission from; and analyzing the collective data of; the plurality of organizations, to determine operational advantages indicated by the data, and providing alerts associated with those operational advantages.