Abstract: A system includes least one processor to display a graphical user interface (GUI) comprising at least one user interface element that when selected captures at least one image by an imaging device, display a carousel GUI that shows a first contact card from a list of contact cards, the first contact card comprising a name of a first contact, the phone number of the first contact, and the email address of the first contact displayed as a first layer that displays on top of a second layer comprising the at least one image and simultaneously display a first map GUI that shows a map of where the at least one image of the imaging device is captured.

Abstract: A system includes a memory and at least one processor to receive text from a client computing device, the text received one character at a time, as each character of the text is received, determine a recommendation in real-time to be added to the text based on at least one of a list of rules, word embedding, an n-gram model, and a co-occurrence model, the recommendation comprising at least one of a word, a list of hashtags, a quotation, and a list of emojis, and send the recommendation to the client computing device.

Abstract: A system includes a memory and at least one processor to compare content in a draft social media post with a library of social media posts and determine a similarity score for the draft social media post, the library of social media posts comprising social media posts that have published in a previous sixty day period and social media posts that are scheduled to publish in a next sixty day period, determine whether the similarity score is less than a maximum allowable similarity score, send a notification that indicates that the similarity score is one of greater than or equal to the maximum allowable similarity score and less than the maximum allowable similarity score, add the draft social media post to the library of social media posts when the similarity score is less than the maximum allowable similarity score, and publish the draft social media post.

Abstract: A system receives smart speaker skill/application generation information generates a first smart speaker skill or application using the smart speaker skill/application generation information, receives at least one scheduled post to schedule at least one briefing at a scheduled time to be broadcast to a first plurality of smart speaker devices having the first smart speaker skill or application, receives tracking and analytics information from each smart speaker in the first plurality of smart speaker devices having the first smart speaker skill or application, and determines an audience for the at least one briefing comprising the first plurality of smart speaker devices having the first smart speaker skill or application and a second plurality of smart speaker devices having a second smart speaker skill or application different from the first smart speaker skill or application based on the tracking and analytics information.

Abstract: A system includes a memory and at least one processor to receive text from a client computing device, the text received one character at a time, as each character of the text is received, determine a recommendation in real-time to be added to the text based on at least one of a list of rules, word embedding, an n-gram model, and a co-occurrence model, the recommendation comprising at least one of a word, a list of hashtags, a quotation, and a list of emojis, and send the recommendation to the client computing device.

Abstract: A system receives smart speaker skill/application generation information generates a first smart speaker skill or application using the smart speaker skill/application generation information, receives at least one scheduled post to schedule at least one briefing at a scheduled time to be broadcast to a first plurality of smart speaker devices having the first smart speaker skill or application, receives tracking and analytics information from each smart speaker in the first plurality of smart speaker devices having the first smart speaker skill or application, and determines an audience for the at least one briefing comprising the first plurality of smart speaker devices having the first smart speaker skill or application and a second plurality of smart speaker devices having a second smart speaker skill or application different from the first smart speaker skill or application based on the tracking and analytics information.

Abstract: A system receives smart speaker skill/application generation information generates a first smart speaker skill or application using the smart speaker skill/application generation information, receives at least one scheduled post to schedule at least one briefing at a scheduled time to be broadcast to a first plurality of smart speaker devices having the first smart speaker skill or application, receives tracking and analytics information from each smart speaker in the first plurality of smart speaker devices having the first smart speaker skill or application, and determines an audience for the at least one briefing comprising the first plurality of smart speaker devices having the first smart speaker skill or application and a second plurality of smart speaker devices having a second smart speaker skill or application different from the first smart speaker skill or application based on the tracking and analytics information.

Abstract: A system includes a memory and at least one processor to compare content in a draft social media post with a library of social media posts and determine a similarity score for the draft social media post, the library of social media posts comprising social media posts that have published in a previous sixty day period and social media posts that are scheduled to publish in a next sixty day period, determine whether the similarity score is less than a maximum allowable similarity score, send a notification that indicates that the similarity score is one of greater than or equal to the maximum allowable similarity score and less than the maximum allowable similarity score, add the draft social media post to the library of social media posts when the similarity score is less than the maximum allowable similarity score, and publish the draft social media post.

Abstract: A system includes a memory and at least one processor to receive text from a client computing device, the text received one character at a time, as each character of the text is received, determine a recommendation in real-time to be added to the text based on at least one of a list of rules, word embedding, an n-gram model, and a co-occurrence model, the recommendation comprising at least one of a word, a list of hashtags, a quotation, and a list of emojis, and send the recommendation to the client computing device.

Abstract: A system includes a memory and at least one processor to compare content in a draft social media post with a library of social media posts and determine a similarity score for the draft social media post, the library of social media posts comprising social media posts that have published in a previous sixty day period and social media posts that are scheduled to publish in a next sixty day period, determine whether the similarity score is less than a maximum allowable similarity score, send a notification that indicates that the similarity score is one of greater than or equal to the maximum allowable similarity score and less than the maximum allowable similarity score, add the draft social media post to the library of social media posts when the similarity score is less than the maximum allowable similarity score, and publish the draft social media post.

Abstract: A system includes a memory and at least one processor to receive text from a client computing device, the text received one character at a time, as each character of the text is received, determine a recommendation in real-time to be added to the text based on at least one of a list of rules, word embedding, an n-gram model, and a co-occurrence model, the recommendation comprising at least one of a word, a list of hashtags, a quotation, and a list of emojis, and send the recommendation to the client computing device.

Abstract: A system includes a memory and at least one processor to receive text from a client computing device, the text received one character at a time, as each character of the text is received, determine a recommendation in real-time to be added to the text based on at least one of a list of rules, word embedding, an n-gram model, and a co-occurrence model, the recommendation comprising at least one of a word, a list of hashtags, a quotation, and a list of emojis, and send the recommendation to the client computing device.

Abstract: A system includes a memory and at least one processor to compare content in a draft social media post with a library of social media posts and determine a similarity score for the draft social media post, the library of social media posts comprising social media posts that have published in a previous sixty day period and social media posts that are scheduled to publish in a next sixty day period, determine whether the similarity score is less than a maximum allowable similarity score, send a notification that indicates that the similarity score is one of greater than or equal to the maximum allowable similarity score and less than the maximum allowable similarity score, add the draft social media post to the library of social media posts when the similarity score is less than the maximum allowable similarity score, and publish the draft social media post.