International Business Machines Corporation

Rakesh Mohan

Juhnyoung Lee

Thomas Dean Rosinski

Chung-Sheng Li

Rudolf Maarten Bolle

Richard Thomas Goodwin

Gerhard Sigl

Krishna Chaitanya Ratakonda

Biplav Srivastava

Mitchell Adam Cohen

Jonathan Hudson Connell, Ii

John Richard Smith

Pankaj Dhoolia

Pietro Mazzoleni

Sweefen Goh

Manisha Dattatraya Bhandar

Stephen V Stibler

Jakka Sairamesh

Josef Schiefer

Aubrey J Rembert

Anca Andreea Ivan

Maharshi H Desai

Jed Kreamer

Vikas J Shivpuriya

Jenny S Li

Wei Zhao

Hui Lei

Vibha Singhal Sinha

Ying Li

Rama Kalyani T Akkiraju

Gabriel Taubin

Norman C Haas

Yedendra Shrinivasan

Maroun Touma

Ta-Hsin Li

Debdoot Mukherjee

Jonathan H Connell

Pu Huang

Richard B Segal

Kaan Kudsi Katircioglu

Fenno F Heath, Iii

Ram Rajagopal

Axel Martens

Anca-Andreea Ivan

Igor Anatolyevich Naumov

Senthil K Mani

Nitinchandra R Nayak

Rajesh Chopra

Stephen K Kibby

Tilak Mitra

Kathleen Byrnes

Mao Chen

T K Balachandran

Lisa A Smith

George A Schroeder

Nilay Ghosh

Dipankar Saha

Ashish Jagmohan

Samuel Scott Adams

Sandeep Kishan Singhal

Ajay Ashok Deshpande

Shun Jiang

Yi-Min Chee

Lawrence David Bergman

Ali Koc

Ramesh Ambat Gopinath

John Scott Houston

Wei Ding

Shyh-Kwei Chen

Hiroshi Maruyama

Rema Ananthanarayanan

Stefan Georg Hild

Pavithra Harsha

Chun Hua Tian

Laurent David Hasson

Andrea Califano

Anil Nigam

Revathi Subramanian

Richard Orville LaMaire

Howard L Operowsky

Shiwa S Fu

Rama K T Akkiraju

Jianren Li

Charbak Chatterjee

Yun Zhang

Mangala Gowri, Iii

Titania Mary Gupta

Dennis A Conrad

SweeFen Goh

Ajay Satsangi

Paul R Boulineau

John D Cann

Rajat Dugar

Andrew Raymond

Annette Simonato

Michelle Yoonk Yung Kim

Sivaprashanth V Danturthy

Carl B Nordman

Hitansh Singala

Ponn Janaarthanan Sundhararajan

An example operation may include one or more of detecting, by a promotion processor node, a delivery of a trade promotion token by a retailer node on a blockchain, and executing, by the promotion processor node, a smart contract to: apply the trade promotion token to a purchase item and transfer incentive assets based on the trade promotion token to the retailer node and to a corresponding manufacturer node.

Product exploration-based promotion

An example operation may include one or more of acquiring, by a promotion processor node, consumer exploration of a product data from a blockchain, determining, by the promotion processor node, features of the product, receiving, by the promotion processor node, a promotion plan from at least one product retailer node, and executing a smart contract to generate a plurality of promotion tokens based on the features of the product and the promotion plan.

An example operation may include one or more of collecting, by a first node, a plurality of permissioned data inputs from a plurality of second nodes of a supply-chain, performing, by the first node, a granular simulation based on the permissioned data inputs to generate a plurality of key performance indicators (KPIs), and executing a smart contract to adjust order processes of the supply-chain based on the KPIs.

Supply-chain simulation

An example operation may include one or more of storing data via a blockchain ledger based on a consensus of a set of anchor blockchain nodes which are subset of nodes included in larger set of nodes in a blockchain network, receiving an access request from a blockchain member not included in the set of anchor blockchain nodes and which does not maintain a copy of the blockchain ledger, verifying a previously stored portion of the blockchain ledger which is accessible to the blockchain member based on the received access request, and sharing the previously stored portion of the blockchain ledger with the a computing system of the blockchain member based on the verification.

Blockchain trust anchor

Techniques are provided for ranking-based information processing. Method steps can include integrating information from at least one source (a plurality of heterogeneous sources can also be handled), to obtain integrated information; mapping the integrated information to at least one application; ranking the integrated information based on the mapping and on ranking criteria from a knowledge base; and processing the integrated information, based on the ranking, to obtain processed integrated information. Optionally, the processing step includes formatting the processed integrated information for a plurality of applications.

Method and apparatus for ranking-based information processing

Assignment scheduling for service projects, in one aspect, may comprise preparing input parameter data for servicing a client service request; generating a schedule for servicing the client service request by executing an optimization algorithm with the input parameter data; determining whether the schedule is acceptable by the client; and repeating automatically the preparing, the generating, the transmitting and the determining until it is determined that the schedule is acceptable by the client, wherein each iteration automatically prepares different input parameter data for inputting to the optimization algorithm and generates a different schedule based on the different input parameter data.

Scheduling for service projects via negotiation

Financial transformation in one aspect establishes a hub and spoke network of models including at least a process model as the hub and at least components model, value driver model, applications model, solutions models as the spoke connected to the process model. A plurality of correlations is inferred among said models using daisy-chain analysis that navigate the hub and spoke network of models, and heat map is generated. Heat map analysis, application shortfall analysis, organization shortfall analysis, solution analysis, and business case analysis are performed.

System and method for financial transformation

A system and method allow a user to extract the set of customizations performed on an application and use these to estimate the time and effort and cost of (a) migrating to a new version of the application and/or (b) consolidating systems. The user can browse the extracted data and select configuration elements for re-use. After downloading the one or more configurations and comparing them, the user selects elements of the configurations for re-use. The first step is to scan one or more application systems and extract the configuration data using a surveyor. The method according to the invention automatically identifies configuration differences. The user then selects configuration elements for re-use. A graphic user interface (GUI) can be provided which allows the user to make these selections by dragging and dropping selected elements to a 'To Be' configuration. The selected configurations are then uploaded and installed on an instance of the application.

System and method for application configuration comparison and reuse

A method for cross-platform porting of applications includes extracting one or more platform independent models from an existing one or more composite applications running on a given source platform. These platform independent models are then transformed into implementation artifacts on another, target platform, thereby effectively porting the composite application from one platform to another. The generated implementation artifacts on the target platform leverage existing assets in the target environment, which makes these generated artifacts 'contextually-aware'.

System and a method for cross-platform porting of business application and making them contextually-aware on target platforms

An interactive design of process model for packaged application software installation and configuration generates a process model from a natural language description of software installation or configuration related operation. A data structure representing one or more work products related to the process model is identified, and one or more elements of the data structure are identified that are related to one or more sub-processes of the process model. Input information associated with said one or more sub-processes is captured and stored. The input information is linked with the one or more elements of the data structure related to said one or more sub-processes. The one or more sub-processes in the process model may be also demonstrated through a simulation.

Interactive blueprinting for packaged applications

One or more document templates defining deployment procedures associated with deploying a packaged software application are obtained. One or more objects are created representing the one or more document templates and one or more elements of the one or more documents, and one or more links between the one or more objects are created. The one or more links represent one or more relationships between the created one or more objects. The one or more objects and the one or more links may be stored and/or output in a selected format.

Modeling and linking documents for packaged software application configuration

A method for generating implementation artifacts for contextually-aware business applications includes utilizing a platform independent model (PIM) of a business application; generating a platform specific model (PSM) from the PIM, wherein the generating of a PSM includes one or more transformations between one or more meta-models of the PIM and one or more meta-models of the generated PSM; generating implementation artifacts; and binding the generated implementation artifacts with any existing services of the business application.

System and method for generating implementation artifacts for contextually-aware business applications

Methods, systems and computer program products for process driven feedback of digital asset reuse. Exemplary embodiments include a method for process-driven feedback for a digital asset, the method including identifying the asset downloaded in a computer system from a repository operatively coupled to the computer system, and for a current project within the computer system for the current project, determining whether the asset has been consumed within the current project, determining feedback and changes between the asset prior to the current project and after the current project, consolidating the feedback and the changes associated with the asset and automatically generating feedback for the asset repository so that the feedback and changes are associated with the asset for comparison in a future project similar to the current project.

Process-driven feedback of digital asset re-use

Growing community of inventors

Cortlandt Manor, NY, United States of America

Rakesh Mohan