Abstract: Examples relate to determining suggested offerings for users. The examples disclosed herein identify, a recent entity accessed by a user. The recent entity is matched with a trending topic, where the trending topic is determined by analyzing recent entities accessed by a plurality of users. A number of suggested offerings from the trending topic is calculated based on an importance score of the matched trending topic. At least one suggested offering for the trending topic is determined, based on the number of suggested offerings, from the recent entities accessed by the plurality of users. The at least one suggested offering is suggested to the user.

Abstract: In one implementation, a system for message based information technology service management includes an editor engine to generate a first message that includes a description of a service request, an action engine to add a number of actions to the first message relating to the service request, and a response engine to send a second message to a number of users based on the service request and the number of actions added to the first message.

Abstract: A combination of a structured database and an unstructured database may be used to access input by a plurality of end users to data fields in interaction with an information system, where storage of the input is separated between the combination of the structured database and the unstructured database, to analyze multiple choice and numerical input in the structured database, to analyze textual input in the unstructured database, and determine a first set of textual inputs that each includes a related textual topic in the textual input.

Abstract: In one implementation, a system for message based information technology service management includes an editor engine to generate a first message that includes a description of a service request, an action engine to add a number of actions to the first message relating to the service request, and a response engine to send a second message to a number of users based on the service request and the number of actions added to the first message.

Abstract: Examples relate to determining suggested offerings for users. The examples disclosed herein identify, a recent entity accessed by a user. The recent entity is matched with a trending topic, where the trending topic is determined by analyzing recent entities accessed by a plurality of users. A number of suggested offerings from the trending topic is calculated based on an importance score of the matched trending topic. At least one suggested offering for the trending topic is determined, based on the number of suggested offerings, from the recent entities accessed by the plurality of users. The at least one suggested offering is suggested to the user.

Abstract: Suggestions for filling a digital form may be provided. Input text may be received. The input text may be caused to be output into a first fillable field of the digital form. Suggestions may be determined for filling a second fillable field of the digital form based on the input text and a search of a plurality of data sources. The determined suggestions may be caused to be output into the second fillable field of the digital form.