Kyndryl, Inc.

International Business Machines Corporation

Pritesh Patel

Shikhar Kwatra

Joseph N Kozhaya

Anantha S Rao

Craig Cook

Aaron K Baughman

Vijay Ekambaram

Zachary A Silverstein

Prasenjit Dey

Amitava Kundu

Jennifer L Szkatulski

Sujatha B Perepa

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: examining social network data of a user, wherein the social network data specifies social network connections of the user; obtaining from the user voice data defining a vocal utterance request of the user; converting the voice data defining the vocal utterance request of the user into a text based message; subjecting the text based message to natural language processing; determining a response message to the vocal utterance request of the user, wherein the determining the response data to the vocal utterance request of the user is performed in dependence on the examining of the social network data of the user; and presenting the response message to the user.

Social network adapted response

Aspects of the present disclosure relate generally to reminder systems and, more particularly, to a contextual item discovery and pattern inculcated reminder mechanism and methods of use. A computer-implemented method includes: determining, by a computing device, an event in which a user will participate; associating, by the computing device, one or more items with the event; determining a location of the one or more items associated with the event including that the user does not possess any combination of the one or more items; and providing an alert to the user that the any of the one or more items associated with the event is not in the possession of the user.

Contextual item discovery and pattern inculcated reminder mechanism

An asset stored on a storage device of a computer system is detected to be omitted from an asset-specific access policy. Using a utilization history of the asset, a criticality of the asset is scored, generating a first criticality score for the asset. Using the first criticality score, the asset is classified into a policy category. A selected access policy selected from a set of access policies assigned to a set of assets in the policy category is applied to the asset, the selected access policy specifying an access restriction of the asset.

Similarity based digital asset management

A method, a structure, and a computer system for tangible mixed reality. Exemplary embodiments may include identifying one or more real objects within an environment and identifying one or more interactions between the one or more real objects, one or more reactive objects, and one or more animations therebetween. The exemplary embodiments may further include generating one or more learning activities for a user of a mixed reality headset that include at least one of the one or more interactions, and deploying the one or more learning activities to the mixed reality headset.

Dynamic interaction deployment within tangible mixed reality

Natural language contractual geographic resource restrictions (CGRR) are converted by computer into a set of machine logic based rule(s), and then the set of machine logic based rule(s) is used to control access to a set of computing resources in accordance with the CGRR in the operative contract. In some embodiments, the CGRR restrict access based on the geography of the prospective user, or customer, of the computing resources.

Authentication framework to enforce contractual geographical restrictions

Determining microservice placement to minimize response time in a network is provided. A set of resources utilized by a microservice during operation is identified based on inspecting a configuration file and code of the microservice. A deployed location within the network of each resource is determined. A relative weight value is assigned to each resource indicating a relative significance of each resource to the microservice during operation. A weighted-average response time is determined for each data center in a set of possible data centers to deploy the microservice based on the relative weight value assigned to each resource and a determined distance value measured by response time between the deployed location of each resource and each possible data center in the set. A data center in the set of possible data centers is selected to deploy the microservice based on the data center having a lowest determined weighted-average response time.

Growing community of inventors

Raleigh, NC, United States of America

Pritesh Patel