Talent Artificial Intelligence Virtual Agent (“TAIVA”) performs the function of an artificial intelligence driven career coach agent. The invention may serve the human resource, talent analytics, employee engagement and independent career coach functions for enterprises and professionals. Similar to a career coach who works with talent and helps them discover better opportunities and growth, this invention uses the power of machine learning and collaborative findings to discover the opportunities. The system's capabilities range from providing suggestions on career changes, helping grow in cluster of skillsets, crowd collaborate to task level gigs, build capabilities etc. The system starts with small interactions and as it learns about the candidate and other members in the network, it will use the power of Artificial intelligence, collaborative findings and global trends to create adaptive and relevant suggestive map and progress dashboard for the candidates just like a career coach.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method comprising: Receiving, on client system, an interface inputs around the activity that needs to be performed by Talent Artificial Intelligence Virtual Agency (Abbreviated as TAIVA system) system, Receiving, interface input routine functions include but not limited to ability to find relevant relational connections within and/or between content, task, job and candidate Communicating, by client system to server system, the interface inputs so serve system could understand the tasks that are needed to be performed Receiving, on server system, a task set on the activities that are needing to be performed on the TAIVA system Determining, by server system the tasks that are needed to be executed to perform the functions required by the TAIVA system. Receiving, through a client system and/or server system inputs captured around information pertaining to entities including but not limited to content, job, task and candidate data that is required to perform the tasks as requested by interface client system. Analyzing, by server system, the tasks that are needed to be performed and analysis/processing is stored for reporting back to client interface Reporting, by server system, the result analysis, report and functions that are requested to be performed Converting, by server system, any entity as job, task, content and candidate information as a profile that is further monitored across time-series 2. A system of claim 1 wherein job entity is information related to job profile, job databank, job type, skills required to do the job, experience, expertise required and any other category/classification that defines everything the system wants to know about the job. 3. A system of claim 1 wherein task entity is information related to task profile, task databank, task type, skills required to do the task, experience, expertise required and any other category/classification that defines everything about task. 4. A system of claim 1 wherein candidate entity is information about a candidate profile, demography, social economic data, skill information and competencies and any other information that helps understand accurate candidate profile. 5. A system of claim 1 wherein TAIVA system monitored and stored time-series continuously increasing data collection may or may not help system gain higher accuracy/precision in advent of more data used towards a decision-making analysis 6. A system of claim 1 wherein content entity includes but not limited to: news, articles, book, media files, courses and anything that does not fall under the scope of job, task, and candidate profile. 7. A system of claim 1 wherein profile, that is created, when combined with its own data and data that is available from dependent profiles/skills is further used in the generation of DNA like score (Skill Score Influence) for each skill and profile type 8. A system of claim 7 wherein the DNA generated is used to establish relational analysis between 2 profiles or skills, wherein each profile or skill could also be group of profiles and/or skills stacked together under common classification for comparison purposes 9. A system of claim 1 wherein the architecture designed to pursue the system comprise of: Client System, that is responsible for gathering inputs and receiving outputs from the server system. Server System, that is responsible for processing all the required processes needed for the functionality of the TAIVA system Client System and Server System are arranged as but not limited to standalone single system, individual systems, distributed across multiple centralized or distributed systems, or each single system is distributed across multiple systems 10. The system of claim 9 wherein the system could be used as standalone, or clustered system, shared via public and or private cloud to deliver a public and/or private system for capturing data and providing insights. 11. A system of claim 9 wherein the system can recruit resources from outside as well as inside system for a brief routine to function as client and/or server for optimal processing experience 12. A method of step 9 wherein data captured could be further used by machine learning and supporting algorithms to enable talent analytics career coach and skill/profile relevance capabilities. 13. A client system comprising: A set of modules responsible for manually entering the interface value that translates to command that are needed to be executed by TAIVA system A set of modules responsible for capturing manual entries around entities including but not limited to content, task, job and candidate A set of modules responsible for capturing automated entries internally and/or externally from TAIVA system A system that validates the viability and semantics of the interface commands as well as input information A system of application program interface adapters to interact with outside systems for fetching data that would be used by TAIVA system 14. A method of claim 13 wherein client system could capture inputs from resources including but not limited to manual interactions, system interactions, automated routines, outside public/private data and inside recorded profile/skill recorded data. 15. A server system comprising of: A processing center for catering to client side interface requests A storage and databank that stores transactional, relational and entity data that may directly or indirectly be used to process system requests A system of application program interface that may or may not interact with outside systems and services to share processing, data and analysis A data store that can break entity into profiles and profiles into skills, thereby helping break all entities including but not limited to task, job, content and candidate information into profiles and each profile is associated one or more skillsets with relevant skillset information An algorithmic set that includes library of mathematical models that could be applied on data store as well as real-time captured data to provide analysis/insight. 16. A system of claim 15 wherein TAIVA system could use direct, indirect, real-time, pre-stored data to identify relational influence using data captured around calculated 2 entities (among task, job, content and candidate) and measure how the two entities or set of entities influence each other and influence neighbors, and also vice a versa. 17. A method of claim 15 wherein the system is capable to sharing logic, analysis, models as well as data from data store with outside system as well as other system modules for effective learning and helping keep system adaptable to market changes