95 results about "Intelligent database" patented technology

A computerized process of intelligently inventorying data and managing assets includes the steps of initially inventorying a plurality of hardware, software, and data files on-site by assigning a hexadecimal signature identifying each file in the database, inventorying the files at a subsequent time by repeating the prior step and comparing the previous and current signatures of the files to determine whether any of the files have been changed, comparing the current version of a changed file to the last previous on-site version of the changed file, computing the differences between the two versions by different forward and reverse algorithms to provide a forward delta and a reverse delta, storing the current version and the reverse delta of the changed file on-site while deleting the last previous on-site version of the changed file, permanently storing off-site the forward deltas of each changed file and a baseline copy of each new file, restoring any requested file, if on-site, by recovering the current version and subtracting the appropriate reverse deltas therefrom until the requested file is produced, or, if off-site, by recovering the baseline version and adding the appropriate forward deltas thereto until the requested file is reproduced. The inventorying process enables the system to issue warnings for deleted files, possible corruption of files, and unidentified possibly valued asset files.

An intelligent database infrastructure wherein the management of all database components is performed by and within the database itself by integrating management of various components with a central management control. Each individual database component, as well as the central management control, is self-managing. A central management control module integrates and interacts with the various database components. The database is configured to automatically tune to varying workloads and configurations, correct or alert about bad conditions, and advise on ways to improve overall system performance.

A system and methodology for creating, compiling, managing and distributing works of multimedia within a virtual space (environment) or virtual meeting space. The system consists of a server and client architecture. Within this architecture, the server or controller plays a “master” role, pulling, storing, and delivering media content from a plurality of client sources. The master server or controller manipulates the storage and delivery of these streams through an intelligent database and programming architecture. These streams are encoded to a specific format and delivered through a server to single or multiple recipients as a vital component of a complete virtual meeting experience. The result is a complete and organized virtual meeting room experience from attendee invitation though follow-up and record meeting dispersal.

The current disclosure generally relates to database management systems (DBMSs) and may be generally directed to methods and systems of using artificial intelligence (i.e. machine learning and / or anticipation functionalities, etc.) to learn a user's use of a DBMS, store this “knowledge” in a knowledgebase, and anticipate the user's future operating intentions. The current disclosure may also be generally directed to associative methods and systems of constructing DBMS commands. The current disclosure may also be generally directed to methods and systems of using a simplified DBMS command language (SDCL) for associative DBMS command construction. The current disclosure may also be generally directed to artificially intelligent methods and systems for associative DBMS command construction. The current disclosure may also be generally directed to methods and systems for associative DBMS command construction through voice input. Other methods, systems, features, elements and / or their embodiments are also disclosed.

The current disclosure generally relates to database management systems (DBMSs) and may be generally directed to methods and systems of using artificial intelligence (i.e. machine learning and / or anticipation functionalities, etc.) to learn a user's use of a DBMS, store this “knowledge” in a knowledgebase, and anticipate the user's future operating intentions. The current disclosure may also be generally directed to associative methods and systems of constructing DBMS commands. The current disclosure may also be generally directed to methods and systems of using a simplified DBMS command language (SDCL) for associative DBMS command construction. The current disclosure may also be generally directed to arfificially intelligent methods and systems for associative DBMS command construction. The current disclosure may also be generally directed to methods and systems for associative DBMS command construction through voice input. Other methods, systems, features, elements and / or their embodiments are also disclosed.

The current disclosure generally relates to database management systems (DBMSs) and may be generally directed to methods and systems of using artificial intelligence (i.e. machine learning and / or anticipation functionalities, etc.) to learn a user's use of a DBMS, store this “knowledge” in a knowledgebase, and anticipate the user's future operating intentions. The current disclosure may also be generally directed to associative methods and systems of constructing DBMS commands. The current disclosure may also be generally directed to methods and systems of using a simplified DBMS command language (SDCL) for associative DBMS command construction. The current disclosure may also be generally directed to artificially intelligent methods and systems for associative DBMS command construction. The current disclosure may also be generally directed to methods and systems for associative DBMS command construction through voice input. Other methods, systems, features, elements and / or their embodiments are also disclosed.