11847 results about "Business enterprise" patented technology

CCRM is a business method and computer software system, to be used by Enterprises selling portfolios of products/services, aiming to optimize the expected value of transactions (or contracts) with consumers or business customers. At a transaction level, CCRM estimates the probability of choice of potential offers by the customer. These offers may be presented alone with possible variation of their attributes (such as price), or in combinations/sets, or in sequences. CCRM calculates the probability of consequent conversion and realization of the sale. Probabilities of choice and conversion are forecasted based on a disaggregated customer choice model, taking into account customer characteristics and stated preferences as well as product/service attributes such as price. Offers are then scored and ranked by expected value based on their revenue, cost and choice probability. Finally, CCRM recommends which offer(s) to present to the customer, at which price(s) and in which display/sequence order, to maximize a business objective function such as the expected value of the transaction/contract.

A technique, method, apparatus, and system to provide related and integrated social networking, real time geospatial mapping, geo-target location and multiple points of interest, receiving current location of user's electronic or mobile device and multiple points of interest, cloud-type configuration storing and handling user data across multiple enterprises, generating user behavior data and ad links, promotions (“social/geo/promo”) links on a website for any product, good or service, including social/geo/promo data sets for user customized visual displays showing 3D map presentations with correlated or related broad or alternative categories of social/geo/promo links to be displayed with web page content for view by an end user.

A technique, method, apparatus, and system to provide educational related, integrated social networking, real time geospatial mapping, geo-target location based technologies including GPS and GIS and multiple points of interest, receiving current location of user's electronic or mobile device and multiple points of interest, cloud-type configuration storing and handling user data across multiple enterprises, generating user behavior data and ad links, promotions (“social/geo/promo”) links on a website for educational related products, goods, and/or services, including educational related social/geo/promo data sets for user customized visual displays showing 3D map presentations with correlated or related broad or alternative categories of social/geo/promo links to be displayed with web page content for view and interaction by an end user.

Sets of local, (e.g., online) ads may be generated by obtaining sets of information about (e.g., local) establishments, each set including a business address information and/or a telephone number, (b) determining, for each of the sets, a location using at least one of at least a portion of the business address information and at least a portion of the telephone number, and (c) generating, for each of the sets, an ad that includes targeting information that targets the serving of the ad to queries related to the determined location. A query, including information about a location of a client device, may be accepted and at least one of the generated ads that includes targeting information that targets the location of the client device may be determined.

Disclosed herein is a method and system for hardware-accelerating various data processing operations in a rule-based decision-making system such as a business rules engine, an event stream processor, and a complex event stream processor. Preferably, incoming data streams are checked against a plurality of rule conditions. Among the data processing operations that are hardware-accelerated include rule condition check operations, filtering operations, and path merging operations. The rule condition check operations generate rule condition check results for the processed data streams, wherein the rule condition check results are indicative of any rule conditions which have been satisfied by the data streams. The generation of such results with a low degree of latency provides enterprises with the ability to perform timely decision-making based on the data present in received data streams.

The present technology enables identification, visualization, and analysis of data flows via network components in complex enterprise IT environments including but not limited to servers, workstations, switches, routers, wireless access points, traffic shapers, firewalls, storage systems and SAN systems. The technology is based on a combination of information collection, information filtering, mapping, grouping, marking, report generation, and verification.

A network server system includes a download manager that manages the publication, purchase and delivery of digital content from multiple content suppliers to wireless services subscribers in multiple domains. Each domain is defined as a different grouping of subscribers, such as a wireless carrier or subsidiary thereof, a business enterprise, or other defined group of subscribers. The download manager maintains data defining the multiple domains and associations between the domains and wireless services subscribers. Digital content suppliers can publish and manage their products on the server system via a computer network and make their products available to the subscribers for purchase or licensing. The subscribers in each of the domains can access the server remotely to purchase rights to download and use the digital content on associated wireless communication devices.

A packet-switched communications device in an enterprise network is provided. The packet-switched communications device has a corresponding unique identifier, such as an address or extension. The device includes a processor operable to (a) establish a secure communications session with a key generating agent in the enterprise network; (b) provide, to the key generating agent through the session, the unique identifier of the communications device; and (c) receive, from the key generating agent through the session, a secret key and a key identifier. An application server authenticates the packet switched device using the secret key. After authentication is successful, secure communications is established between the packet switched device and the application server.

Methods and systems for enterprise data integration are described. The methods and systems take elements of a data integration process typically operating in a batch-mode, transform the elements in real time, and expose the results as a service that can be accessed by a business enterprise in real time, and optionally also in batch mode. The service can be accessed through a graphical user interface, providing automatic data integration in real time without additional coding. The service can also operate with mobile devices.

A system and method lets a user create or import ontologies and create databases and related application software. These databases can be specially tuned to suit a particular need, and each comes with the same error-detection rules to keep the data clean. Such databases may be searched based on meaning, rather than on words-that-begin-with-something. And multiple databases, if generated from the same basic ontology can communicate with each other without any additional effort. Ontology management and generation tools enable enterprises to create databases that use ontologies to improve data integration, maintainability, quality, and flexibility. Only the relevant aspects of the ontology are targeted, extracting out a sub-model that has the power of the full ontology restricted to objects of interest for the application domain. To increase performance and add desired database characteristics, this sub-model is translated into a database system. Java-based object-oriented and relational application program interfaces (APIs) are then generated from this translation, providing application developers with an API that exactly reflects the entity types and relations (classes and methods) that are represented by the database. This generation approach essentially turns the ontology into a set of integrated and efficient databases.

Methods and systems for vendor independent and secure cloud storage distribution and aggregation are provided. According to one embodiment, an application programming interface (API) is provided by a cloud storage gateway device logically interposed between third-party cloud storage platforms and users of an enterprise. The API facilitates storing of files, issuing of search requests against the files and retrieval of content of the files. A file storage policy is assigned to each user, which defines access rights, storage diversity requirements and a type of encryption to be applied to files. Responsive to receiving a request to store a file, (i) searchable encrypted data is created relating to content and/or metadata of the file based on the assigned file storage policy; and (ii) the searchable encrypted data is distributed among the third-party cloud storage platforms based on the storage diversity requirements defined by the assigned file storage policy.

A system and method for collecting, filtering, analyzing, distributing and effectively utilizing highly relevant events (such as key business events) in real time, from huge quantities of data. The present invention analyzes both historic and real-time data stemming from operational activity, by interfacing with internal data repositories (such as Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM)), external data sources (such as suppliers and clients), and real time operational systems in order to create an Active Intelligence Platform. This Active Intelligence Platform is positioned as a layer between the organization's data sources and its applications, monitoring inputs and relaying only the important data items to the relevant individuals and/or systems. This allows individuals and systems to respond immediately and effectively to key events.

Some embodiments provide a credibility system that computes credibility scores to quantify the credibility of different businesses and to coalesce the generated credibility scores into various indices. The indices comparatively present the credibility of a particular business relative to other businesses along one or more dimensions. Based on the indices, the system identifies trends in the credibility of a particular business. The system derives preliminary credibility for a new business for which credibility data has not yet been obtained based on credibility that has been previously established for other businesses in an index associated with the new business. The system provides automated services for monitoring credibility of a business and for generating alerts to notify the business that its credibility has reached various thresholds. The system identifies business practices that improve upon or adversely affect the credibility of a particular business.