19 results about "Collaboration tool" patented technology

A multi-agent collaboration tool for collaborating among multiple large language model (LLM) agents is provided. A problem statement is received from a user. A first LLM agent is automatically selected to provide a first answer to the problem statement as a first confidence score for the first LLM agent is more than a second confidence score for a second LLM agent to provide the first answer to the problem statement. The second LLM agent is automatically selected to provide a second answer based on the first answer to the problem statement as a third confidence score for the second LLM agent is more than a fourth confidence score for the first LLM agent to provide the second answer based on the first answer to the problem statement. A solution to the problem statement is provided based on the second answer.

A multi-agent and human project management and collaboration tool can provide the ability to create and manage projects and software agents in a cohesive framework. The collaboration tool can provide a multi-agent, multi-player channel where agents and humans work together to achieve an outcome. The collaboration tool can initiate a new project, where the objective is defined, and a team is dynamically built to achieve this objective. The team roles are parsed, and an agent is created for each role. Each agent is equipped with a personalized skillset and a working memory, allowing them to effectively collaborate with humans and each other to progress autonomously through the project stages. The agents can complete tasks based on the project plan and the results are stored in the agent's working memory. The project status is updated, and a report can be generated after each stage, providing a record of the project's progress.

The invention discloses an AI enabling-based information innovation major practice course teaching system, which comprises a data acquisition system, an information processing system, a student answering system and an intelligent scoring system, and is characterized in that the data acquisition system is used for connecting an enterprise code warehouse, a CI / CD assembly line and a monitoring platform, capturing and developing full-life-cycle data, and sending the full-life-cycle data to the information processing system; wherein the student answering system is used for teaching end answering simulation by providing a cloud native development environment and a cooperation tool, and the intelligent scoring system is used for evaluating the answering quality in multiple dimensions and feeding back the answering quality to the industry end and the teaching end, and is used for synchronously improving the teaching quality and the industry efficiency. According to the AI enabling-based information innovation major practice course teaching system, a production and education fusion mechanism is deepened, computer practice courses are subjected to knowledge reconstruction and smart course construction by using a knowledge graph smart course construction tool with the requirements of the creative industry as the standard, and bidirectional real-time mapping of the industry requirements and education practices is realized.

The present disclosure relates to systems and methods for inventory management in the oil and gas industry. The systems and methods automate the inventory tracking process and provide a real time status of inventory. The systems and methods analyze the data of the inventory to generate insights of the inventory and provide recommended actions for the inventory. The systems and methods provide an interactive user interface that allows users to provide requests relating to inventory and display insights of the inventory.

The Verticalized Agentic Routines (VARs) system is designed to optimize workflows in various industries by integrating industry data sources to provide accurate and context-aware insights. The system includes a VAR data component that enables semantic understanding and relationship mapping, delivering improved prediction accuracy over industry-specific baselines. Additionally, a VAR AI agent optimizes workflows by providing advanced visibility, actionable insights, and automated response mechanisms. The system also features a VAR collaboration tool that allows non-technical users to build, share, refine, and scale industry-specific routines, ensuring adaptability, scalability, and high performance across multi-tier supply chain entities.

The invention relates to the technical field of geological survey online collaboration, in particular to a railway engineering geological survey database online collaboration tool and equipment, and the tool comprises an authority initialization module which is used for constructing a five-level collaboration architecture and initializing authority; the collaborative operation module is used for uploading and updating data of different users; the conflict processing module is used for determining the conflict type and recording the conflict times; giving a conflict solution according to the conflict type; the data management module is used for acquiring a conflict factor, a fluctuation factor, a capacity factor and an access factor, and adjusting a preset initial life cycle of each piece of data to obtain a final life cycle of each piece of data; and performing data management through the final life cycle of each piece of data. According to the invention, the online collaboration efficiency is improved.

An industrial integrated development environment (IDE) supports collaborative tools that allow multiple designers and programmers to remotely submit design input to the same automation system project in parallel while maintaining project consistency. These collaborative features can include, for example, brokering between different sets of design input directed to the same portion of the system project, generating notifications to remote designers when a portion of the system project is modified, sharing of development interfaces or environments, facilitating involvement of outside technical support experts to assist with design issues, and other collaborative features.

A method, device and system for providing user-centric connections to a location comprising digital collaboration tools, as well as software for carrying out the method. The method includes a network device having a beacon system for proximity detection and a BYOD (Bring Your Own Device). A confirmed BYOD proximity can be used to initiate the setup of a data channel between the network device and the BYOD, and further join the BYOD to a UC (Unified Communications systems and tools) session.

The present invention relates to a method for Conference Privacy Screening on Edge with Sensitive Aware Solution and a system for Conference Privacy Screening on Edge with Sensitive Aware Solution wherein the method comprises joining via a client or client node, a conference session held on a collaboration tool's backend of a server node by one or more users and capturing the audio stream of the conference session, by the client node and / or the server node. Then an Automatic Speech Recognition, ASR, model transcribes the audio stream of the conference session and sending the transcript to a transformer model. The transformer model evaluates if a sensitive topic occurs in the transcript and marks it with a flag in case a sensitive topic occurs. A Privacy Escalation Control Process analyzes then the flagged sensitive topic and confirms or not the flagged sensitive topic.

Systems for capturing and organizing team-generated content produced during a meeting defined / facilitated by a third-party meeting tool or service. In particular, a server system includes a memory allocation and a processor allocation configured to cooperate to instantiate an instance of a bridge service configured to communicably couple to API endpoints of the third-party meeting tool and to one or more collaboration tools. The bridge service can use meeting data obtained from a third-party meeting tool to obtain task information from a task management system for task associated with a current meeting being hosted by the third-party meeting tool. The bridge service can analyze the task information to determine a status of the tasks, and generate graphical summaries of the task associated with the event. The graphical summaries can be displayed to participants of the current meeting.

The invention discloses an electronic work card information interaction and management system based on big data analysis, and relates to the technical field of employee management and Internet of Things. Comprising the following modules: an electronic work card terminal module including a staff management module, a positioning and historical track module, a scheduling management module, an attendance statistics module and an equipment management module; the internet-of-things management and data interaction module is used for automatically initializing after the electronic work card is started up, regularly acquiring module data, uploading and receiving the data in real time by an electronic work card terminal, and checking the working condition of an employee by a manager through a management terminal login system; calculating comprehensive working efficiency coefficients of the employees, classifying the comprehensive working efficiency coefficients, calculating a comprehensive suitability score in combination with various working factors of the employees, and allocating tasks to the most suitable employees based on a record and load allocation algorithm; an efficient cooperation tool is provided for employees, and digital transformation and refined operation of enterprises are promoted.

An aspect of the present disclosure provides a technological collaboration tool facilitating peer help and in-person assistance in field services. A system (executing the tool) obtains a training data containing characteristics of multiple technicians and characteristics of activities completed by each technician in resolving prior issues. trains a machine learning (ML) model based on the training data, the ML model thereafter operable to determine a proficiency level of technicians in helping with a given activity. Upon receiving, from a technician, a request for help with an activity, the system determines, based on the ML model and the activity, a set of technicians capable of helping with the activity. The system then creates a group chat including the technician and the set of technicians as a response to the request.

The invention discloses an LLM root cause analysis method and system based on a Java exception stack chain, and the method comprises the following steps: S1, collecting a Java exception log in real time, and extracting the key information of the stack chain; s2, obtaining a corresponding code snippet through a GitLab API (Application Program Interface) according to a file path and a line number analyzed by the Java exception log; s3, performing root cause analysis by using LLM to generate a root cause analysis report and a repair suggestion; s4, performing report structured display on the root cause analysis report, the code snippets and the repair suggestions, and pushing the results to the problem owners through the enterprise collaboration tool robot; and S5, realizing abnormal noise reduction by using a time window de-duplication algorithm, configuring an alarm white list, and counting a frequency trend to realize risk pre-judgment. The method is suitable for online anomaly positioning, root cause diagnosis and repair guidance of the distributed Java application, root cause positioning can be completed and repair suggestions can be pushed within one minute after the anomaly occurs, and the research, development, operation and maintenance efficiency is remarkably improved.

ShotAgent is a blockchain-based platform designed to transform video production and digital content distribution by seamlessly connecting clients with freelance videographers worldwide. The platform features a secure coin-based transaction system and an Al-powered recommendation engine that optimizes freelancer-project matching based on detailed criteria and performance metrics. Integrated collaboration tools facilitate efficient project management through secure messaging, task management, file sharing, and AR / VR-enabled virtual meeting spaces, enhancing communication and coordination. ShotAgent' s specialized marketplace for pre-made video shots allows freelancers to monetize existing content while providing clients with a diverse range of creative assets. Secure smart contracts and blockchain-backed content authentication ensure data integrity and protect intellectual property rights. Additionally, the platform incorporates NFT -based rights management, dynamic content access controls, and advanced analytics for performance tracking. With flexible payment options, multi-language support, and global accessibility, ShotAgent offers a secure, efficient, and collaborative environment for video content creation and distribution across various industries.

A system for instantly empowering any social network, and / or application, and / or workflow with live collaboration tools, enterprise messaging and data collection without any code modification. The system is incorporated with cross domain network configuration and comprises a server including a processor and a memory having a plugin component or browser extension executed by the processor. The plugin or browser extension component comprises a registration module, a link generation module, and an instant communication module. The registration module enables a service provider to create an account by registering one or more credentials. The link generation module generates a first URL for each registered service provider. The first URL prompts visitor to install or download the browser extension or plugin, respectively. Upon a visitor clicking on a link the system activates a live video conferencing, chat and data collection and scheduling modules.

Systems and methods to enhance collaboration, decision-making, and document generation through interactions between human users and multiple specialized AI personas, built on the generative AI principle of adaptive learning. The systems and methods support active and passive modes of engagement, integrating seamlessly with real-time collaboration tools. By personifying project goals and organizational objectives as AI personas, the system may keep these priorities central throughout the interactions.

We provide the system. [Solution] A means for uploading the business manual, A means of storing uploaded work manuals in a database, A method for analyzing stored business manuals and extracting keywords and phrases, A method for grouping similar tasks based on extracted keywords and phrases, A means of comparing the efficiency of business processes in each department, A means of generating and sending improvement suggestion notifications to departments that are performing inefficient work, A system that includes setting up meetings and collaboration tools for coordinating with other departments, and a means of notifying relevant parties.

The disclosed communication skills training tool identifies and analyzes target user data from a multi-user collaboration tool or a live event to provide communication skills training feedback to a target user. The target user is identified based on target user characteristics in the received signal from the multi-user collaboration tool or an input at the live event. A target user performs in a communication event with multiple users on a multi-user collaboration tool or a live event. A signal that includes data from the target user and excludes data from the other users is analyzed to determine feedback appropriate for the target user. That analyzed data is output either in real-time or asynchronously via post-event review.

Described in this specification is an online collaboration tool that extends the traditional audio / video functionality in current offerings by integrating a variety of medical data sources, such as DICOM files, 3D reconstructions and live fluoroscopy streams into a virtual environment. Source information is routed to user-preferred interface destinations, such as imaging workstations, augmented reality headsets and browsers (laptops, tablets, smart phones).