International Business Machines Corporation

Vijai Kalathur

Rajaram B Krishnamurthy

Moses J Vaughan

Muneeb Arshad

Michael E Gildein

Ali Y Duale

Louis P Gomes

Shailesh Ratilal Gami

Daniela Regier

Christine D Mikijanic

Megan Capobianco

Gregory Ecock

Christopher Potter

Philip Siconolfi

Ajay Kumar Sood

Anjil R Chinnapatlolla

William H Scott

Srivatsan Venkatesan

Robert J C Paquin

Jonathan D Dunne

James A O'Connor

Robert J Paquin

Vivian Zhang Di Tore

John Kosowsky

Techniques for client side multi-factor password generation include randomly removing one or more features of a record of a fingerprint image of a user and creating a distorted record of the fingerprint image by merging the record with a user input code using an encryption technique, the distorted record being reversible using the user input code. The distorted record for authentication of the user is registered.

Multi-factor fingerprint authenticator

Methods and systems for leveraging a topic divergence model to generate dynamic sidebar chat conversations are disclosed. A method includes: collecting, by a computing device, data from a first group chat; determining, by the computing device, a main topic of the first group chat and a current topic of the first group chat using the data collected from the first group chat; determining, by the computing device, a first divergence score representing a degree of divergence between the main topic of the first group chat and the current topic of the first group chat; determining, by the computing device, that the first divergence score exceeds a predetermined threshold; and in response to determining that the first divergence score exceeds the predetermined threshold, the computing device creating a second group chat; determining an efficacy based on an emotive analysis which increases as the divergence score decreases.

Leveraging a topic divergence model to generate dynamic sidebar chat conversations based on an emotive analysis

Controlling the volume of a Virtual Personal Assistant (VPA) by receiving radio frequency (RF) data associated with a user, identifying a location of a user relative to the VPA, creating a volume adjustment model using the data and VPA data, tracking movement of the user based on the data, and adjusting a volume of the VPA according to the volume adjustment model.

Volume adjustment model development

A disposition manager configured to identify a damaged component of a damaged assembly by determining a measured first property value of a set of measured property values associated with the damaged component and obtained by a sensor is not within a range of acceptable first property values according to a specification of the damaged component. The disposition manager further configured to estimate a performance characteristic of the damaged component and a salvage value of the damaged component. The disposition manager further configured to present, to a user interface, the performance characteristic and the salvage value for the damaged component.

Disposition manager for resource recovery

Embodiments include method, systems and computer program products for enhancing a customer service process. Aspects include receiving customer data associated with a customer and creating a customer profile based on the customer data. Aspects also include obtaining customer service representative data comprising a customer service profile for each of a plurality of customer service representatives and determining a matching subset of the plurality of customer service representatives for the customer based upon the customer profile and the customer service representative data. Next, aspects include displaying, to the customer, the matching subset of the plurality of customer services representatives for the customer. Aspects also include selecting a first customer service representative from the matching subset of the plurality of customer service representatives for the customer based on a customer input.

Enhancing customer service processing using data analytics and cognitive computing

Embodiments include methods, systems and computer program products method for cognitive storage management for a mobile computing device. The computer-implemented method includes monitoring, using a processor, content generation and usage on a mobile computing device by a user associated with the mobile computing device to determine usage habits of the user. The processor determines a storage capacity for the mobile computing device. The processor predicts future content generation and usage by the user based on the determined usage habits. The processor determines whether future storage capacity issues could exist based on the predicted future content usage and the determined storage capacity. The processor, in response to a determination that future storage capacity issues could exist based on the predicted future content usage and the determined storage capacity, causes at least a portion of content stored on the mobile computing device for storage in a remote storage.

Cognitive storage management for a mobile computing device

An approach for new recipient inclusion to e-mail chains. E-mail chain manager receives include participants associated with an e-mail chain, current participants in the current e-mail chain distribution and authorization rules associated with the e-mail chain. The e-mail chain manager determines inclusion authorizations for the include participants based on comparing the include participants with the authorization rules and creates authorization results associated with the include participants. In response to determining the authorization results are passed, the e-mail chain manager creates authorized include participants. The e-mail chain manager creates the participant notifications where the participant notifications are based on the authorized include participants and outputs the participant notifications based on predetermined participant preferences of the current participants. The e-mail chain manager outputs the e-mail chain to the authorized include participants and creates a next e-mail chain distribution based on combining the authorized include participants and the current participants.

Dynamic e-mail chain participant manager

An approach for new recipient inclusion to e-mail chains. The approach determines inclusion authorizations for one or more include participants in a current e-mail chain distribution. Responsive to a determination that the one or more authorization results are passed, the approach creates one or more authorized include participants. The approach creates one or more participant notifications based, at least in part, on the one or more authorized include participants. The approach outputs an e-mail chain to the one or more authorized include participants, wherein outputting the email chain includes outputting the one or more participant notifications based, at least in part, on predetermined participant preferences of one or more current participants in the current email chain distribution. The approach creates a next e-mail chain distribution based, at least in part, on combining the one or more authorized include participants and the one or more current participants.

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining image data representing page content of a physical book; running a character recognition process to process the image data for providing a text string of machine encoded text corresponding to text of the physical book; identifying within a data repository that stores one or more electronic book a string of text of an electronic book that matches the text string of machine encoded text; and based on the identifying, digitally bookmarking the electronic book.

Physical and digital bookmark syncing

In an approach to save-to location selection, a computing device accesses a metadata file comprising a data table. The computing device checks the data table for entries that match one or more features of a file to be saved, wherein each match is associated with a save-to location. The computing device computes confidence scores for each save-to location based on a predefined weight associated with to each feature. The computing device produces a list of recommended save-to locations based on the confidence scores. The computing device receives a user selection based on or overriding the recommendations. The computing device updates the data table with information concerning each of the features of the file and the user selection.

Confidence score-based smart email attachment saver

In an approach to save-to location selection, a computing device accesses a metadata file comprising a data table. The computing device successively checks the data table for entries that match a series of features of a file to be saved. If the computing device finds one or more matches, the computing device determines an associated save-to location. If the computing device does not find a match and has exhausted all of the series of features, the computing devices determines a default save-to location. The computing device receives a user selection based on or overriding the determination. The computing device updates the data table with information concerning each of the features of the file and information concerning the user selection.

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Wappingers Falls, NY, United States of America

Vijai Kalathur