International Business Machines Corporation

Raji Lakshmi Akella

James Michael McArdle

Marion Else Behnen

Petros Zerfos

Michael Albert Perks

Sean Michael Sundberg

Syed Yousaf Shah

Xuan-Hong Dang

Gaurav Jain

Milton Orlando Laverde Echeverria

Ashley Potter

Guarav Jain

Beju Ekperigin

Techniques are provided for the automated risk assessment of a document. In one embodiment, the techniques involve mapping, via a risk assessment engine, one or more sentences in a first document to one or more risk categories, identifying, via a classification engine, risk-associated language of the one or more sentences based on the one or more risk categories, mapping, via a risk assessment engine, the risk-associated language of the one or more sentences to one or more risk criterion of a risk criterion document, and generating, via a risk assessment engine, a first risk assessment based on the one or more risk criterion of the risk criterion document.

Automatic contract risk assessment based on sentence level risk criterion using machine learning

A method, system and computer program product for enabling completion of purchase transactions by retrieving purchase card information from an electronic database of consumer cards and applying the appropriate card to the transaction. The database, managed by a central card authority, stores client account information for cards such as debit, credit, phone, and discount cards, which are accessible via a unique, secure login/access credential, such as a username and password combination. During registration with the central card authority, a client classifies key/important factors to consider when performing purchases. The central card authority is accessed by the client during purchases from a retail facility and/or other purchasing environment. The central card authority automatically selects the best card to utilize during a purchase, after weighing the important purchasing factors related to the credit, debit, phone, and discount cards registered with the central card authority.

Electronic system for selecting the best card from a collection of consumer credit, debit and discount cards

Electronic system for selecting the best card from a collection of consumer credit, debit, and discount cards

A method, system, and computer program product are described for storing attribute data in an object oriented environment. A base class and a subclass are defined within an object. The object is defined within the object oriented environment. An attribute is defined within the subclass. The attribute data defined for the subclass is stored within the base class. The attribute data is not stored within the subclass.

Method, system, and product for storage of attribute data in an object oriented environment

Growing community of inventors

Austin, TX, United States of America

Raji Lakshmi Akella