International Business Machines Corporation

Lynn Kwok

Gandhi Sivakumar

Sarvesh S Patel

Kushal S Patel

Craig M Trim

Victor Povar

An approach is provided in which the approach detects a set of personal information data corresponding to a set of users in a set of training data. The approach transforms the set of training data into a set of semantically equivalent training data by replacing the set of personal information with a set of semantic equivalent data. The approach then trains a machine learning model using the set of semantically equivalent training data.

Data de-identification using semantic equivalence for machine learning

A network architecture may receive situational data. The network architecture may acquire participant data associated with a participant. The network architecture may accept object data associated with an object. The network architecture may generate likelihood of infectiousness of the object based on the participant data and the object data. The network architecture may display the likelihood of infectiousness to one or more users.

Dynamic infection map

A computer implemented method, system and program product is provided for linguistic alignment in specific user targeted messaging. In one embodiment, new and previously existing data about a specific user is analyzed and personality insights are determined. Location of the user is also determined. Using this location and collected data and personality insights, a multilayered set of linguistic preferences is determined for the specific user. This set is used to customize a message for the specific user based on the linguistic set and ultimately a message is sent to the specific user using a selected messaging channel.

Multi-level linguistic alignment in specific user targeted messaging

A 5G network conference call initiation is detected. Information associated with the conference call includes a topic, an agenda, participants, and goals, is received. The respective participants of the conference call are identified, based on a dedicate traffic channel (DTCH) of the respective participants of the conference call. An allocation threshold of conference call contribution associated with the respective participants is determined, based on the information received. Contributions of respective participants are calculated during the conference call based on a list of DTCHs of the respective participants. The contributions of the respective participants are compared to the allocation threshold and responsive to determining that the contributions of a first participant of the respective participants of the conference call exceed the allocation threshold, an action mitigating the excessive contribution in the conference call is performed.

Call management of 5G conference calls

In an approach to 5G mobile device based regional patrolling over highways, a fifth generation (5G) mobile ad-hoc network is enabled based on data received from checkpoints. A 5G traffic channel is connected between the 5G mobile ad-hoc network and a virtual network function (VNF). Responsive to detecting that a vehicle containing a 5G UE device is in the ad-hoc network, a 5G traffic channel is connected between the UE device in the vehicle and the VNF. Responsive to receiving location information from the UE device in the vehicle, the location trajectory for the vehicle is determined. Responsive to determining that the location trajectory for the vehicle is improbable, a signal is sent to a patrol manager, where the signal includes a last received location for the vehicle.

5G mobile device based regional patrolling over highways

A method, a computer system, and a computer program product are provided. A computing system receives natural language first textual input from a second computing system and performs natural language processing. The natural language processing identifies vagueness and missing information in the first textual input. Additional information is obtained from at least one source responsive to identifying at least one of the vagueness and the missing information. The identified vagueness and the missing information are resolved based on the obtained additional information and a meaning of the first textual input is determined. Output is provided to the second computing system for presentation to a user.

Task based self exploration of cognitive systems

A method, system and computer-usable medium are disclosed for proactive data hinting in a telecom network. In certain embodiments, the invention relates to receiving a data hinting request for an application at a virtual network framework of the telecom network. A dedicated hinting channel is selected to provide the proactive data hinting; monitoring for the hinting request. Data is moved from the resource, such as edge cloud computing, where the application is implemented when the proactive data hinting is received. The application is used by user equipment, access points and Internet of Things (IoT) devices.

Method and apparatus for proactive data hinting through dedicated traffic channel of telecom network

A requirement process document is received. The requirement process document specifies a plurality of requirements for developing a product. Each of the plurality of requirements is classified, using machine learning, as either a business requirement or a technical requirement. A hierarchy including a plurality of levels of business requirements and technical requirements is determined from the requirement process document. A particular level in the hierarchy for each of the business requirements and technical requirements and one or more relationships between the business requirement and the technical requirement within the hierarchy is identified. A realizing component and associated capability for implementing one or more of the technical requirements is identified.

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Bundoora, Australia

Lynn Kwok