International Business Machines Corporation

Indrajit Poddar

Radha Mohan De

Swaminathan Balasubramanian

Ashley Dallas Delport

Cheranellore Vasudevan

Yulia Gaponenko

Alexey Miroshkin

Igor Sukharev

Vladislav B Ponomarev

Daniel Christopher Berg

Michael D Elder

Yuri Pravosud

Saswati Maji

Nataraj Nagaratnam

Anthony Joseph Nadalin

Alain Charles Azagury

Nitzan Peleg

Michael Rodeh

Sadek Jbara

Erez Hadad

Diptiman Dasgupta

Igor Khapov

Krisha Banerjee

Ilsiyar I Gaynutdinov

Qiang Wang

David Louis Kaminsky

Ronald Patrick Doyle

Min Li

Yi-hsiu Wei

German Sergio Goldszmidt

Nicholas Matthew Mitchell

Neeraj Joshi

Dah-Haur H Lin

Li Wei

Ying Chun Guo

A Steven Krantz

Herbert G Derby

Naveen Sachdeva

Vladislav Borisovich Ponomarev

Embodiments for enhancing privacy and security of an image by a processor. Metadata associated with the image is configured with a usage designation, the usage designation having accompanying notification information for notifying an owner of the usage designation if a condition of the usage designation is met.

Enhancement of privacy/security of images

An ambience adjustment method, system, and non-transitory computer readable medium, includes identifying an ambient condition in a user profile for a most similar first device to a second device and setting the ambient condition of the most similar first device as the ambient condition in the user profile of the second device.

Adjusting ambience of a room

A computer-implemented method includes: detecting, by a user device, an event that indicates a potential security compromise of the user device; determining, by the user device, a service accessible on the user device; sending, by the user device, a breach notification to a service provider corresponding to the service accessible on the user device; receiving, by the user device, a security profile from the service provider; and restricting, by the user device, access to the service provider by a client of the service provider on the user device until the security profile is satisfied by a user completing a security challenge defined in the security profile.

Securing services in a networked computing environment

A software container image that includes components dependent on a first computer instruction set architecture (ISA) is ported to enable a container to execute using the container image on a computer having a second ISA different from the first. Porting the container image entails replacing components of the container image not compatible with the second ISA with equivalent components compatible with the second ISA. The porting is performed, in some instances, dynamically as part of running a container with the container image on a computer implementing the second ISA.

ISA-ported container images

An approach is described for identifying an entity associated with a communication in an online environment. A method pertaining to such approach may include receiving a communication within the online environment. The communication may be received via a communications network. The communication may include a plurality of sequential messages. The method further may include facilitating parsing, via natural language processing, of language in the communication corresponding to an entity and one or more sentiments associated with the entity. The method further may include determining whether the entity is unambiguously identifiable. Upon determining that the entity is not unambiguously identifiable, the method may include identifying the entity based upon Bayesian inference. According to an embodiment, determining whether the entity is unambiguously identifiable may include determining whether the entity is among a plurality of participants in the communication.

Identifying an entity associated with an online communication

Provided are techniques for modeling operational units, each operational unit corresponding to an operational workflow and to one or more deployment engines of a plurality of deployment engines; selecting, for each of the plurality of operational units, one of the corresponding deployment engines; ordering the operational units with respect to the operational workflow; grouping the ordered operation units according to the selected deployment engines into deployment engine groupings; mapping output parameters corresponding to a first operational unit that concludes a first deployment engine grouping to input parameters corresponding to a second operational unit that initiates a second deployment engine grouping, inserting between the first operational unit and the second operational unit a transitional operational unit for transitioning between a first deployment engine corresponding to the first deployment engine grouping and a second deployment engine corresponding to the second deployment engine grouping to generate a multi-deployment engine operational workflow.

Discovery and modeling of deployment actions for multiple deployment engine providers

An approach is provided that creates a co-opetition index. The co-opetition index is created by mining data from online sources that are related to competitor activities associated with a competitor of an organization. The competitor is selected from many competitors of the organization. Possible business actions are automatically identified that correspond to the competitor activities. The set of possible business actions are analyzed using a game theory analysis. The game theory analysis results in an identification of next actions that maximize a payoff to the organization. The co-opetition index is adjusted based on a classification of the next actions on a competitiveness scale. The resulting co-opetition index is then provided to a user of the system.

Co-opetition index based on rival behavior in social networks

An ambience adjustment method, system, and non-transitory computer readable medium, includes configuring an ambient condition of a first device detected in an environment to match an ambient condition of a similar device in a user profile, identifying a change to the ambient condition of the first device configured by the configuring, and updating the user profile with a new ambient condition based on the identified change to the ambient condition.

System, method, and recording medium for adjusting ambience of a room

In an embodiment, an approach is provided that retrieves a source image metadata from a persistent storage media, where the source image metadata corresponds to a source image associated with a source platform, compares the retrieved source image metadata to image metadata corresponding to available virtual images associated with a target platform, identifies, based on the comparison, one of the available image metadata that is most compatible to the source image metadata, and uses the available virtual image corresponding to the identified available image metadata as a target virtual image compatible with the target platform.

Porting virtual images between platforms

Embodiments for facilitating communications of a user by a processor. An appropriateness of the communications is cognitively interpreted based on a plurality of identified contextual factors prior to the user sending the communications to another party. The user is alerted to a possible negative impact of sending the communications to the other party if the interpreted appropriateness is less than a predetermined threshold.

Facilitation of communications to another party using cognitive techniques

Systems and a method for transporting smart shopping bags are provided herein. The system includes a plurality of drones, each of which is operable to travel to a plurality of designated locations to search for smart shopping bags. The smart shopping bags are configured to store goods for transport and are operable to store and wirelessly communicate user preferences, information related to stored goods, and one or more destinations for the goods. Upon finding a smart shopping bag, each of the drones is operable to query the smart shopping bag to determine whether the smart shopping bag is suitable for pickup by the drone. If the smart shopping bag is suitable for pickup, each of the drones is operable to transport the smart shopping bag toward a first one of the one or more destinations.

Collaborative delivery device

A computer receives event information associated with a user. The computer determines one or more social media contacts associated with the event, wherein the social media contacts are further associated with the user. The computer determines one or more terms utilized by the determined one or more social media contacts. The computer detects an input by the user, wherein the input includes one or more characters. The computer determines one or more autocomplete suggestions based on the one or more terms utilized by the determined one or more social media contacts.

Optimized autocompletion of search field

Embodiments for facilitating recording images to improve quality by a processor. A candidate image of a first device is compared against a database of previously saved images. One of the previously saved images obtained by a second device, and thereby, stored context metadata associated with the one of the previously saved images, is selected. The stored context metadata of the one of the previously saved images is provided to the first device, such that a configuration on the first device is selectable to be changed to match a configuration of the second device used to obtain the one of the previously saved images.

Intelligent image enhancement

Growing community of inventors

Sewickley, PA, United States of America

Indrajit Poddar