Abstract: Provided are techniques for determining an effect of a message on a personal brand based on future goals. A message is received from an entity for a social media platform. Additional messages related to the message are identified. A reaction sentiment trend is determined for each topic of the additional messages for a period of time. An effect the message has on a personal brand of the entity in future is predicted based on future goals of the entity and based on the reaction sentiment trend for each topic. An indication of whether the message is aligned with the future goals based on the predicted effect is provided. In response to the message being aligned with the future goals, the message is posted to the social media platform. In response to the message not being aligned with the future goals, one or more suggestions to modify the message are provided.

Abstract: Provided are techniques for determining an effect of a message on a personal brand based on future goals. A message is received from an entity for a social media platform. Additional messages related to the message are identified. A reaction sentiment trend is determined for each topic of the additional messages for a period of time. An effect the message has on a personal brand of the entity in future is predicted based on future goals of the entity and based on the reaction sentiment trend for each topic. An indication of whether the message is aligned with the future goals based on the predicted effect is provided. In response to the message being aligned with the future goals, the message is posted to the social media platform. In response to the message not being aligned with the future goals, one or more suggestions to modify the message are provided.

Abstract: Various embodiments are provided for providing real-time context-based detection and classification of data in a computing environment are provided. Data may be received from a user. Contextual information may be learned from the data received from a user using a machine learning operation. The data may be classified according to the contextual classification criteria applied to contextual information derived in real time from the data.

Abstract: Various embodiments are provided for managing an adapter as a service (AaaS) in a computing environment by a processor. Accesses to one or more of a plurality of identity and access management (IAM) systems may be provided via an adapter as a service (AaaS) functioning as an exchange service between one or more users and one or more providers of a plurality of types of adapters, wherein the plurality of types of adapters in the AaaS enable provisioning and de-provisioning to one or more of the plurality of IAM systems.

Abstract: Various embodiments are provided for providing real-time context-based detection and classification of data in a computing environment are provided. Data may be received from a user. Contextual information may be learned from the data received from a user using a machine learning operation. The data may be classified according to the contextual classification criteria applied to contextual information derived in real time from the data.

Abstract: Various embodiments are provided for managing an adapter as a service (AaaS) in a computing environment by a processor. Accesses to one or more of a plurality of identity and access management (IAM) systems may be provided via an adapter as a service (AaaS) functioning as an exchange service between one or more users and one or more providers of a plurality of types of adapters, wherein the plurality of types of adapters in the AaaS enable provisioning and de-provisioning to one or more of the plurality of IAM systems.

Abstract: Provided are techniques for determining an effect of a message on a personal brand based on future goals. A message is received from an entity for a social media platform. Additional messages related to the message are identified. A reaction sentiment trend is determined for each topic of the additional messages for a period of time. An effect the message has on a personal brand of the entity in future is predicted based on future goals of the entity and based on the reaction sentiment trend for each topic. An indication of whether the message is aligned with the future goals based on the predicted effect is provided. In response to the message being aligned with the future goals, the message is posted to the social media platform. In response to the message not being aligned with the future goals, one or more suggestions to modify the message are provided.

Abstract: Provided are techniques for determining an effect of a message on a personal brand based on future goals. A message is received from an entity for a social media platform. Additional messages related to the message are identified. A reaction sentiment trend is determined for each topic of the additional messages for a period of time. An effect the message has on a personal brand of the entity in future is predicted based on future goals of the entity and based on the reaction sentiment trend for each topic. An indication of whether the message is aligned with the future goals based on the predicted effect is provided. In response to the message being aligned with the future goals, the message is posted to the social media platform. In response to the message not being aligned with the future goals, one or more suggestions to modify the message are provided.