International Business Machines Corporation

Vishal Singh Batra

Sumit Negi

Manish Anand Bhide

Mukesh Kumar Mohania

Praveen Jayachandran

Ravi Kothari

Prasad Manikarao Deshpande

Raghuram Krishnapuram

Dinesh Garg

Pralhad Dinesh Deshpande

Govind Kothari

Manoj N Kumar

Wen-Syan Li

Biplav Srivastava

Amit Anil Nanavati

Venkatraman Ramakrishna

Palanivel Andiappan Kodeswaran

Sachin Gupta

Gyana Ranjan Parija

Sriram Raghavan

Upendra Sharma

Sayandeep Sen

Abhishek Singh

Shachi Sharma

Nipun Batra

Pasumarti V Kamesam

An example operation may include one or more of identifying a workflow specification including a number of entities and state elements, selecting two or more entities designated as a subset of entities among the entities, where the subset of entities share one or more of the state elements of the workflow specification among the state elements, and creating a first smart contract identifying the one or more state elements.

Converting processes into multiple blockchain smart contracts

A blockchain configuration may be used to store smart contracts. One example method of operation may include one or more of identifying a metric configuration associated with a smart contract stored in a blockchain, logging an event which is part of the metric configuration, determining whether the event supports requirements of the smart contract, determining whether a smart contract policy in the smart contract matches a system policy, and updating the smart contract on the blockchain when the requirements of the smart contract are supported by the event and the smart contract policy matches the system policy.

Smart contract admission check and fault tolerance in a blockchain

One embodiment provides a method of automatically managing a validation rule across a shared replicated database, the method including: utilizing at least one processor to execute computer code that performs the steps of: receiving, at a database, a first transaction associated with a user, wherein the database is associated with a node of a network comprising a plurality of nodes and wherein each of the plurality of nodes is associated with a different entity; the database being shared and replicated among the plurality of nodes; receiving, at the database, a validation rule associated with the first transaction, wherein the validation rule comprises at least one condition associated with the user; and automatically replicating the validation rule throughout the plurality of nodes. Other aspects are described and claimed.

Validation rule management across entities

Techniques, systems, and articles of manufacture for collaborative analytics with edge devices. A method includes identifying multiple items of data pertaining to a user from one or more user actions implemented across multiple user devices, identifying one or more rules associated with one or more user preferences, exchanging the multiple items of data across the multiple user devices, and applying the one or more rules to the multiple items of data across the multiple user devices to generate an output via at least one of the multiple user devices.

Collaborative analytics with edge devices

In the context of data administration in enterprises, an effective manner of providing a central data warehouse, particularly via employing a tool that helps by analyzing existing data and reports from different business units. In accordance with at least one embodiment of the invention, such a tool analyzes the data model of an enterprise and proposes alternatives for building a new data warehouse. The tool, in accordance with at least one embodiment of the invention, models the problem of identifying fact/dimension attributes of a warehouse model as a graph cut on a Dependency Analysis Graph (DAG). The DAG is built using existing data models and the report generation scripts. The tool also uses the DAG for generation of ETL (Extract, Transform Load) scripts that can be used to populate the newly proposed data warehouse from data present in the existing schemas.

Data warehouse data model adapters

Provided are techniques for providing personalized recommendations. One or more transactions are received from one or more customer interaction channels. The received one or more transactions are stored in an incremental data store. One or more predictive rules are generated based on the received one or more transactions and based on one or more transactions previously stored in the incremental data store. In real-time, one or more personalized recommendations specific to a user and to the received one or more transactions are generated using the one or more generated predictive rules.

Delivering personalized recommendations that relate to transactions on display

An embodiment of the invention provides a method and system for analyzing a plurality of reports. More specifically, a change detection module predicts results of future reports based on past reports and identifies a first report that deviates from its predicted results. A dependency analysis module connected to the change detection module at least one report sharing a dependency with the first report by performing a dependency analysis and/or a usage analysis. The dependency analysis labels the first report and at least one second report as sharing a dependency if the second report deviates from its predicted results. The usage analysis labeling the first report and at least one report analyzed by an analyst as sharing a dependency if the report analyzed by the analyst is analyzed in response to the identification of the first report.

Smarter business intelligence systems

Methods and arrangements for establishing financial transfer limits. A customer reputation score for mobile money transfer is determined. A mobile money transfer limit is established based on the customer reputation score, and the customer reputation score is updated in response to predetermined parameters.

Establishing personalized mobile money transfer limits

A method, an apparatus and an article of manufacture for detecting a fraudulent mobile money transaction. The method includes determining a reputation score for at least one customer based on historical data, determining multiple patterns related to fraudulent mobile money transaction activities by using the reputation score and the historical data, automatically detecting at least one of the patterns in mobile money transactions incoming from at least one other customer, and classifying the at least one detected pattern as a fraudulent mobile money transaction or a genuine mobile money transaction.

Detecting fraudulent mobile money transactions

There is disclosed configuring of clustered web services nodes accessing a common database, including implementing a data virtualization layer at each node to abstract an instance of the database from a web service application. In one embodiment, at each node is performed creating a first, data virtualization entity bean having all read and write operations of an application-developed (master) entity bean, creating a second entity bean that carries only the read operations of the master entity bean and addresses the replica instance, receiving an operation request at the first entity bean, and routing a request to either the master entity bean or the second entity bean depending upon the requested operation to access the respective database instance. In another embodiment, at each node is performed implementing an empty database instance having a schema matching the common database, identifying a relevant partitioning in a query utilizing the empty database, and routing the query to a respective partitioned database instance.

Web services database cluster architecture

A system is described for selecting web services accessible over a network (). The system comprises a pervasive device (), one or more servers () in communication with the network () and supporting at least one base web service () that provides an output in reply to a request from the pervasive device (). The system further comprises one or more servers () supporting at least one extended web service () operable to reduce a computational load of the pervasive device () in an interaction with the base web service (). An application () running on the pervasive device () evaluates attributes of a Quality of Service (QoS) model relating to interactions between pervasive device (), a base web service () and corresponding expanded web service (). The application () chooses whether or not to use the corresponding web service based on the evaluated attributes.

Developing QoS aware pervasive applications for web service interaction

A method and a system for dynamically specifying exceptions and exception handlers for an application written in any computer language, which has exception handling facility, are described. The present decouples the exception handling logic from the application and thereby can be used to alter the behavior of the program/module/application as well as to define new types of exceptions at runtime. The decoupling of the exception handler logic eliminates the language dependence of the application and further helps in customizing the behavior of the application when they are being deployed in new environments. Moreover dynamic exception handling is not operating system dependent.

System and method for dynamic exception handling using an external exception handler

A system and method for managing data resources includes a policy definition layer, a policy deployment layer and a policy execution layer. The policy definition layer provides for creating, editing and visualizing policies through a user interface using intuitive simple language constructs. The policy deployment layer converts the created policies into a relational format that can be directly stored in a policy database. The policy execution layer executes the deployed policies on occurrence of an event. A resource abstraction and notification layer provides the interfacing of the resources with the policy definition layer, policy deployment layer and the policy execution layer.

Growing community of inventors

Noida, India

Vishal Singh Batra