International Business Machines Corporation

Pranab Agarwal

Narayana Aditya Madineni

Chia-Le Cheng

Shane Nicholas Cress

Prasanth N S Addala

Jonathan D Dunne

Ilse M Breedvelt-Schouten

Simon D McMahon

Stephen J McKenzie

An embodiment for determining presentation content effectiveness using attraction modeling is provided. The embodiment may include receiving presentation content from a meeting host during on online collaborative meeting. The embodiment may also include capturing one or more actions of one or more users during a display of the presentation content to the one or more users. The embodiment may further include creating an audience attention model. The embodiment may also include in response to determining at least one user is distracted from the presentation content, modifying the display of the presentation content for each distracted user in accordance with one or more characteristics associated with each distracted user. The embodiment may further include categorizing the one or more users into one or more groups. The embodiment may also include providing visual feedback to the meeting host.

Presentation content effectiveness using attraction modeling

Electronic communication privacy verification is provided. An electronic communication associated with a set of addresses is received. The electronic communication is analyzed using an artificial intelligence model to classify a purpose for the electronic communication. Using an authorization database, it is determined whether each address in the set of addresses has been authorized for communication for the classified purpose. In response to determining at least one address has not been authorized for communication for the classified purpose, a sender of the electronic communication is prompted to remove the at least one address.

Privacy verification for electronic communications

A computer-implemented method for identity authentication in a data processing system, including: receiving, by the processor, an authentication request from a user; receiving, by the processor, real-time data from one or more Internet of Things (IoT) devices associated with the user; generating, by the processor, one or more questions based on the real-time data; receiving, by the processor, one or more responses to the one or more questions from the user; comparing, by the processor, the one or more responses from the user with one or more correct answers identified by the processor. If the one or more responses match the one or more correct answers, providing, by the processor, the user with a successful identity authentication.

Identity authentication based on data from Internet of Things devices

A computer-implemented system and method for a chat system is provided for processing chat channel communications. The method comprises receiving a user message from a user, and classifying the user message using a classifier into a classified input that is one of a question, an answer, and a statement. When the input is a question, the method comprises determining a set of relevant answers from an answer database that are related to the question. The method determines a relatedness score reflecting a degree of relatedness between each related answer of the set of related answers and the question. A top answer is determined from the set of related answers based on the relatedness scores, and the method presents at least one of the top answer and the set of related answers to the user. When the input is an answer, the method stores the answer in the answer database.

Intelligent chat channel processor

A computer-implemented method for dynamically migrating an email thread from an email platform to a message thread on messaging platform includes: monitoring an ongoing email thread; and migrating the email thread from an email platform to a messaging platform in response to an attribute associated with the email thread reaching and/or exceeding a predetermined threshold level, wherein migrating the email thread includes converting the contents of the email thread into one or more message threads on the messaging platform.

Dynamic migration of conversations between communication platforms

A similarity score between a profile of an email sender and one or more profiles associated with one or more respective recipients of the email being sent by the email sender is calculated. In response to determining that the calculated similarity score between the profile of the email sender and at least one profile of the one or more profiles associated with a respective recipient of the one or more respective recipients does not exceed a first threshold value, a relevance score between a context of the email and each of the one or more recipients of the email is calculated. Responsive to determining that the calculated relevance score between the context of the email and each of the one or more recipients of the email does not exceed a second threshold value, a distribution list of the email is updated. The email is transmitted using the updated distribution list.

Prevent sending emails to unintended recipients

A determination is made that an authentication mechanism is unable to complete an attempt to authenticate, in association with a user attempting to access an application, user credentials. The user credentials include a user identifier and an additional authentication factor. An access allowance rate for the authentication mechanism is identified. The access allowance rate is based on a plurality of prior completed authentication attempts associated with the user identifier. A determination is made that the access allowance rate satisfies a set of criteria. In response to the determination that the authentication mechanism is unable to complete the authentication attempt and further in response to the determination that the access allowance rate satisfies the set of criteria, the user is allowed access to the application.

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Oxenford, Australia

Pranab Agarwal