4768 results about "Service provider" patented technology

Systems and methods for providing efficient remediations for cloud environment vulnerabilities. The present systems and methods are configured to calculate the most efficient remediations to reduce cloud environments' risks, calculate a cloud environment's biggest risks and weaknesses, and provide a holistic overview of a cloud environment across different service providers. In an embodiment, steps include scanning a cloud environment for posture control data; identifying a plurality of security risk events based on the scanning; calculating a risk score for each of the plurality of security risk events; and determining and recommending one or more remediations based on the risk score of each of the plurality of security risk events and how efficient each remediation is.

Techniques for providing forward-looking mobile network performance visibility via an intelligent application programming interface are described. Network performance metadata associated with a wireless network of a communications service provider is obtained and stored in a data lake. One or more machine learning models are trained based on use of the wireless network performance metadata. The one or more machine learning models, or predictions such as forecasts generated via use of the models, are used to service requests received at a cloud provider network seeking forward-looking performance characteristics of the wireless network.

Systems, devices, apparatuses, and methods for more effectively protecting a user's private data and information regarding their browsing and other on-line activities. Embodiments remove constraints on an application developer by not requiring them to specify an authentication service provider as part of their application, and instead permit a user to make that choice in a protected and anonymous manner.

An example operation may include at least one of retrieving vectors from a vector database, where the vectors include previous communication content between a source device and a service provider device, identifying an item of interest that has not been discussed in the previous communication content based on execution of a large language model (LLM) on the vectors, generating content about the item of interest, and outputting the content about the item of interest to at least one of the source device and the service provider device during an active communication session between the source device and the service provider device.

Systems and techniques for location management are described herein. In an example, a system may include at least one processor and at least one memory with instructions stored thereon that when executed by the processor, cause the processor to obtain data originating from one or more sensors proximate to the location. A trained activity-based detection model may identify an activity at the location and perform a determination of a service to be offered at the location based on the detected activity. The system may then send a message to a user offering the service to the user, and in response to receiving an authorization accepting the service from the user, cause the service to be implemented at the location, which may include classifying the service as a service type, matching the service type to a service provider, and sending a notification to the service provider.

This disclosure describes a natural language question (NLQ) query service within a service provider network that provides row level security (RLS) for autocomplete during entry of NLQs and fuzzy matching in NLQ answering. The rules take the form of per-user predicates such as Tim can only see rows with region=US. In configurations a complex extraction and preprocessing pipeline to extract distinct combinations of values against RLS predicate “rule keys” is used. Those distinct values are indexed along with grouped rule keys to enable pushing down predicates at auto-complete time. This enables pushing part of RLS rule handling to ingestion time of a dataset rather than handling all RLS rule handling at query time, enabling meeting of latency goals. In configurations, a single logical document of unique cell values is split into multiple documents with a subset of rule keys to handle scalability limits.

The present invention relates to systems and methods for integrating real-world functionalities, such as healthcare services, into a virtual environment (metaverse) using digital avatars and data security measures. Users can access services through their avatars, maintaining anonymity and data security. The system securely transmits user requests and data to real-world service providers, who provide services or feedback within the virtual environment. Data security ensures confidential and tamper-proof data transmission and facilitates secure payment transactions. The invention enables the integration of various real-world services into the metaverse, enhancing its functionality and utility while preserving user privacy and security.

This invention relates to methods and systems of procuring services in the cloud and specifically procurement where the requirements are defined by the consumer in a machine understandable knowledge representation language such as RDF and OWL using semantic web technology to establish a cloud agent for discovery of a service provider and effectuate the automatic generation of a contract, or service-level agreement, that can be monitored due to the coupling between the machine understandable knowledge representation language and the contract.

A method may include accessing data associated with a failure of a 5G network component. The method may include providing the data associated with the failure of the 5G network component to a first machine learning model, configured to determine and output data indicating a root cause of the failure. The method may include providing data indicating the root cause of the failure to a second machine learning model, configured to determine and output data indicating one or more service providers and respective destinations associated with the root cause. The method may include generating a service ticket may include data indicating the root cause and the respective destinations associated with the root cause. The method may include transmitting the service ticket to the respective destinations of the one or more service providers associated with the root cause of the failure.

There are provided systems and methods for automated chatbots that detect privacy data sharing and leakage by other automated chatbot systems. A service provider and other chatbot services, including an electronic transaction processor, may provide self-service channels for assistance through chatbot and other automated computing processes. However, these chatbots may be regulated by compliance with privacy protection requirements, and therefore use of the chatbots and / or user data when responding to users via chatbots in chat sessions may be noncompliant and / or attacked by malicious users to compromise privacy protected data. In order to facilitate detection of leaks and shares by chatbots, an AI for a privacy protection chatbot may be trained on regulations for chatbot use and / or data security and privacy protection. The chatbot may then interact with other chatbots and question the other chatbots using the trained AI model to detect whether privacy protected data is exposed.

An example operation may include one or more of receiving interaction content from a communication session between a source device and a service provider device of a service provider, identifying a search criteria from the interaction content, retrieving a subset of vectors from a plurality of vectors stored in a vector database based on the search criteria of the interaction content, wherein the subset of vectors includes previous interaction content with the service provider, generating a response for the communication session based on execution of a large language model (LLM) on the subset of vectors, and outputting the response to at least one of the source device and the service provider device during the communication session.

Examples of the present disclosure describe systems and methods determining a root cause of an outage of a dependent service. A method includes detecting an outage of a dependent service, determining a first service dependency of the dependent service, and identifying one or more instances of the first service dependency by accessing a service provider of the first service dependency. The method also includes collecting one or more service level indicators (SLIs) for one or more instances of the first service dependency and determining a health status of the instances of the first service dependency using the SLIs. The method further includes determining a root cause for the outage of the dependent service based on the health status of the instances of the first service dependency.

The invention discloses a system (100) for generating conversational content using a generative artificial intelligence (AI), said system (100) comprising: a user (101), an administrator (102), an application programming interface (API) server (103), a generative artificial intelligence (AI) server (104), a plurality of databases (105), a generative artificial intelligence (AI) processor (106), an audio generate processor (107), a text-to-speech processor / service provider (108), a video generation service (109), a video generation processor (110), and a memory communicatively coupled to the processor, wherein the memory stores processors instructions, which, on execution, causes the processor to generate at least one of conversational script, audio, video, or combination thereof. The system (100) allows users to create and customize various aspects of conversational content, including characters / personas / speakers, groups (of personas / characters / speakers), tones, content types, topics, conversation formats, and tone.

The invention belongs to the technical field of cloud security services, and provides a trusted cloud security confidential privacy three-dimensional level product service method, which comprises the following steps that: a cloud service provider matches products and services with different security levels by separating differentiated demands of an application development service provider and a final user in confidential, privacy and security dimensions; configuring different security modules for the product, performing hardware and software type selection matching, and determining a product type in combination with an end-to-end scene; then deploying a dynamic strategy adjustment mechanism, monitoring abnormal access in real time and adaptively adjusting a protection strategy; and continuously optimizing the security configuration. The invention discloses a trusted cloud security confidential privacy three-dimensional grade product service system, which is used for realizing a trusted cloud security confidential privacy three-dimensional grade product service method. The method is beneficial for transparently solving the security demand and conflict problem of the cloud service provider, the application development service provider and the final user, and promoting the healthy development of the cloud computing market.

An example operation may include at least one of storing first interaction content with a service provider; receiving second interaction content from a communication session between a source device and a service provider device of the service provider; identifying at least one contextual attribute associated with the source device; determining a response based on execution of at least one large language models (LLMs) on the second interaction content, the at least one contextual attribute associated with the source device, and the first interaction content with the service provider; and outputting the response to at least one of the source device and the service provider device during the communication session.

The invention provides a wireless communication and computing resource collaborative optimization method and system. The method provided by the invention comprises the following steps: establishing an initialized global model matched with a business demand for each service provider, and matching service resources of each service provider according to the business demand; establishing a service agent corresponding to each service provider; each service agent generates an optimal strategy based on the corresponding service resources and the state information of other service providers; sending the initialized global model to a distribution client according to an optimal strategy; each distribution client trains the received to-be-trained model based on the distributed service resources, and sends the trained model to the corresponding service provider; and aggregating the received trained models by each service agent to obtain a global model of the corresponding service. The method and the system provided by the invention are used for realizing collaborative optimization of wireless communication and computing resources and improving the overall performance and the resource utilization efficiency of federated learning.

The invention provides a security verification method for a large model service operation environment, a medium, equipment and a product, and relates to the technical field of computers, large model services are deployed in a container group created in a virtual machine, and the virtual machine is deployed in a hardware-based trusted execution environment, so that the security verification of the large model service operation environment is realized. The method comprises the following steps: acquiring environment measurement corresponding to a running environment of a large model service through a remote attestation service deployed in a hardware-based trusted execution environment, the environment measurement at least comprising a first measurement corresponding to the trusted execution environment in which a virtual machine is located and a container measurement under a container stack dimension corresponding to a container group; the remote attestation service generates a remote attestation report according to the environmental metrics to enable a user to validate the security of the operating environment through the remote attestation report. According to the invention, not only can the attack from the IaaS layer be shielded, but also the credibility verification under the dimension of the virtual machine and the credibility verification under the dimension of the container stack can be provided, so that the credibility of the user to the service provided by the service provider is improved.

The embodiment of the invention provides a local life service integration method and device and terminal equipment. The method comprises the following steps: integrating a plurality of heterogeneous local life service providers into a gas station service platform to obtain a local life service platform, and collecting real-time service data in real time; non-oil sales fluctuation of the gas station is predicted based on the real-time service data, and the order quantity and the delivery cycle of upstream and downstream suppliers are dynamically adjusted according to a prediction result; constructing a multi-dimensional data analysis model, predicting user traffic and various service demands in different time periods every day, and configuring a corresponding local life service time window based on a prediction result; dynamically updating callable local life service resources and dynamically deploying gas station human resources based on the order quantity, the delivery cycle and the local life service resource configuration; and generating a personalized service list of the user by using a collaborative filtering algorithm and a reinforcement learning algorithm, interacting with the user in an interaction interface, and providing corresponding local life service resources for the user.

A text interaction record is received at a database system. The text interaction record may include interaction text from one or more messages between a client machine and a service provider. An input database record creation prompt that includes natural language instructions to generate database record field text based on the text interaction record may be determined. The input database record creation prompt may include some or all of the interaction text. The input database record creation prompt may be transmitted to a large language model for completion. A completed database record creation prompt may be received from the large language model. The completed database record creation prompt may include a text element created by the large language model based on the input database record creation prompt. A database record including a database field storing the text element may be generated in the database system.

In one embodiment, a method of training one or more artificial intelligence (AI) models for language-based communication prompts with a service provider is disclosed. The training method includes generating industry specific labels used to fine tune a large language model; providing an industry specific database associated with the industry specific labels to fine tune the large language model; reading the industry specific database into the large language model; adjusting the parameters of the large language model to recognize industry specific terms associated with servicing equipment within the industry; adjusting the parameters of the large language model to discover the intent associated with the industry specific terms; and adjusting the parameters of the large language model for industry specific tasks including questions and answer tasks, named entity recognition, classification tasks, and machine translations tasks.

Distributed media content history and preferences can be stored and maintained by media playback systems including one or more blockchain-capable playback devices. Content record sets, such as content experience record sets and content network record sets, can be stored via distributed ledgers and updated at least in part based on media consumption events performed or detected by playback devices, service providers, or other participants. Such distributed data can also be accessed to facilitate playback of media content for particular users, devices, households, or environments.

A system for classifying customer communications based on customer intent receives a communication from a customer during a communication session. The communication can include natural language. The system can create an embedding vector based on the natural language of the communication. The first embedding vector can include a numerical representation of natural language extracted from the communication. The system can compare the embedding vector to multiple embedding vectors associated with intent classifications corresponding to a prediction of a type of assistance available for customers. The multiple embedding vectors can be created based on a model that is configured to identify customer intent. The system can identify which intent classification of the multiple intent classifications is associated with the embedding vector based on the comparison. The system can redirect the communication session to a sub-unit of the telecommunications network service provider based on the identified intent classification.

Systems and methods including an interface for routing data transmissions in response to dynamic queuing of service requests. A data processing system includes the interface in which one or more medical service providers within structured data records, such as electronic health records (EHR) or electronic medical records (EMR), can indicate that they are available to provide services to one or more patients. When a medical service provider indicates that he or she is available to provide additional medical services, one or more patients who have requested a corresponding medical service can be automatically routed to that medical service provider.

Techniques and systems can obtain a first private key usable with a classical cryptography algorithm and a second private key usable with a post-quantum cryptography algorithm based on classical and post-quantum public keys hosted by a computer-implemented storage of an online service provider. A plurality of keys to perform a cryptography operation on data hosted by the computer-implemented storage can be generated, the plurality of keys generated based on at least the first and second private keys and a cryptography derivation function identified in the computer-implemented storage. The plurality of keys can be used to perform the cryptography operation on the data hosted by the computer-implemented storage.

Techniques are disclosed for generating a ranked list of content for a user account of a service provider. A server device can determine that a first user account of a service provider is linked with a second user account of the service provider. The server device can then determine whether the first user account has been registered with the service provider a time period less than a threshold time. In response, the server device can determine interaction information associated with the second user account and generate, using a ranking model taking the interaction information as an input, a ranked list of content offered by the service provider. The server device can then cause the user device to present content at a graphical user interface of the user device according to the ranked list of content.

An example operation may include one or more of receiving interaction content from a communication session between a source device and a service provider device of a service provider, identifying a plurality of contextual attributes of the communication session based on execution of at least one large language models (LLMs) on the interaction content, converting the interaction content and the plurality of contextual attributes of the communication session into vectorized data based on execution of an additional LLM, labelling the vectorized data with identifiers of the plurality of contextual attributes, and storing the vectorized data within a vector database.

Systems and methods for performing profile-based recommendations including receiving a user input from a user, extracting a query from the user input, identifying at least one category based on the user input, generating a user profile representative of the query and preferences of the user, retrieving data corresponding to services in the identified at least one category from a data source and generating a service profile for each respective service, determining a match between the user profile and the service profiles, generating, in response to the query, an output dataset corresponding to one or more service profiles in the at least one category determined from the matching. The services corresponding to at least one of services of a third party service provider, a location, and an objective.

A system for preparing documents in a standards compliant electronic health record (EHR). A document intake device is configured to receive an image file transmitted to the device using an image file transport protocol. An artificial intelligence / machine learning (AI / ML) model is configured to extract patient demographic and medical information contained within the image file as a text file with the patient demographic and medical information, and format the text file for use as a EHR by a transformation engine. The transformation engine is configured to convert the text file formatted for use as the EHR into the standards compliant EHR and transmit the standards compliant EHR as a Direct Secure Message to a Health Information Service Provider (HISP). The HISP configured to send the standards compliant EHR as a Direct Secure Message for storage as a patient record if a patient match is found.

Latency, response times, and efficiency improvements for data querying are provided herein, particularly in the context of querying large database systems and data tables from disparate data sources. There are provided systems and methods for automatic query and data retrieval optimization through procedural generation of data tables from query patterns. A service provider may utilize different computing services for query processing and data retrieval for different applications and services used by internal and / or external users. Instead of querying large database systems and numerous data tables, pre-aggregated data tables may instead be used and searched by procedurally generating such tables based on precomputation rules and query patterns. Once patterns have been identified in queries, corresponding data may be aggregated from data sources in a pre-aggregated data table. Query optimization rules may then be used to have these data tables queried in place of their original sources.

A virtual machine controller service of a service provider network may provide a virtual machine controller environment where applications associated with machine controllers (e.g., programmable logic controllers (PLCs), programmable automation controllers (PACs), etc.) can execute and data can be provided as input to the executing applications. An example process may include receiving a request to create a virtual controller instance, and creating the virtual controller instance in a service provider network based at least in part on the request. The example process may further include executing, on the virtual controller instance, an application that is associated with a machine controller that is operable within a facility, and sending data as input to the application to elicit a response from the application. This example process can be used for training personnel and / or for validating machine controller applications prior to their deployment on a physical machine controller in a facility.