Abstract: A method and system for improving an action implementation process is provided. The method includes detecting a cancelation or a rescheduling for an originally planned activity of a user to be performed during a first time period. An alternative activity for replacement of the originally planned activity is determined. It is determined that a second time period necessary for performing the alternative activity exceeds the first time period and in response, an executable action is generated. The executable action is configured to be combined with the alternative activity such that the alternative activity may be accommodated. Machine learning software code is executed top determine if the user would be likely to accept the alternative activity if the additional executable action exceeds a specified threshold. In response, the executable action is automatically executed in real time thereby enabling the alternative activity.

Abstract: Attributes associated with a farming area and production data may be received. A user's expertise level may be identified. At least one crop model may be executed to generate a plurality of scenarios specifying specific actions to perform associated with a farming topic. A production goal associated with the farming area may be received. Based on the production goal and the user expertise level, the plurality of farming scenarios may be filtered to generate at least one candidate scenario. A candidate scenario may be presented for execution. An app such as a chat bot may perform a dialog with the user in executing steps of the candidate scenario.

Abstract: A system comprising: a server configured to: host a chatbot application; generate a plurality of values based on the chatbot application accessing a plurality of PIM applications on a plurality of clients, wherein the values correspond to the PIM applications, wherein each of the PIM applications contains a plurality of received messages and a plurality of calendar entries, wherein the accessing includes reading the received messages or the calendar entries; aggregate the values into a content via the chatbot application; and output the content to an administrator client responsive to a query from the administrator client to the chatbot application.

Abstract: A method and system are provided. The method includes generating, by a server having a processor, temporal and event based risk predictions for each of a plurality of workers at a workplace, using a prediction window of a work shift. The method further includes creating, by the server having the processor, a work schedule for the plurality of workers that is optimized to maintain a cumulative workplace risk below a given threshold, based on the temporal and event based risk predictions.

Abstract: Competitors are classified in terms of products the competitors offer. A product set is generated from product information received from a user. Also, a competitor set is generated, where the competitor set comprises at least one competitor determined to be relevant to one or more products in the product set. A target price rule is generated that is operative to change a price offered by the user for the at least one product. A competitors relevancy can be determined by considering factors such as: (1) unique visitors to the competitor's website, (2) reviews on the competitor's website (3), ratings on the competitor's website, (4) absolute number of products common to the user's website and the competitor's website, (5) percentage number of products common to the user's website and the competitor's website, and (6) number of products offered by the competitor that comprise the product set.