Abstract: A system comprises a memory communicatively coupled to at least one processor. The at least one processor is configured to obtain audio data from a user device. Further, in response to receiving the audio data, the processor is configured to execute a machine learning algorithm to transcribe the audio data into text data and summarize the text data into a data summary. The data summary is representative of a predicted intent associated with the audio data. The processor is configured to determine an interface property based on the data summary in response to summarizing the text data. The interface property is one or more communication commands to interact with the data summary. The processor is configured to determine an interface control based on the data summary and the interface property, bind the interface property to a rendered interface control, and present the rendered interface control to a workspace device.

Abstract: A text analysis processing for detecting computer-generated text is provided. In some cases, a text-based chat interaction may be initiated and analyzed to determine whether the text-based chat generated by a communicating entity is computer-generated. The text of the chat session may be analyzed to evaluate punctuation, use of emojis, spacing, grammar, words, phrases, and the like to determine a further likelihood of whether the text is computer-generated. A duration of the chat session may be used as a scoring factor. The various probabilities and scores may be combined to provide a composite score.

Abstract: A text analysis processing for detecting computer-generated text is provided. In some cases, a text-based chat interaction may be initiated and analyzed to determine whether the text-based chat generated by a communicating entity is computer-generated. The text of the chat session may be analyzed to evaluate punctuation, use of emojis, spacing, grammar, words, phrases, and the like to determine a further likelihood of whether the text is computer-generated. A duration of the chat session may be used as a scoring factor. The various probabilities and scores may be combined to provide a composite score.

Abstract: Speech and text analysis processing for detecting computer-generated speech is provided. Speech and audio from a voice call or other interaction between two entities may be monitored and analyzed using one or more machine models. Audio may be transcribed and the resulting words and phrases used in the audio analyzed by a machine model to determine a likelihood that the audio is computer-generated. The audio may be separately analyzed to evaluate characteristics such as tones, inflections, accents, pitch, pace, and the like to determine a further likelihood of whether the audio is computer-generated. A duration of the audio may be used as a scoring factor. The various probabilities and scores may be combined to provide a composite score.

Abstract: Systems and processes are disclosed to leverage conversational AI across voice and digital channels by automating employee interactions with clients to deliver humanized experiences with speed and accuracy. Live phone conversation. Transcriptions between clients and agents are generated. AI assist provides automation based on client interactions. Prompts are provided to speak to customers. Real time updates and summaries are sent to client devices and streamed to customize agent sessions. Auto navigation of agent views and manipulations of the agent screen are optimized by AI. Instant client validations are enabled via audible and visual confirmations on client devices. Various other AI implementations for improved processing our similarly disclosed.

Abstract: A system comprises a memory communicatively coupled to at least one processor. The at least one processor is configured to obtain audio data from a user device. Further, in response to receiving the audio data, the processor is configured to execute a machine learning algorithm to transcribe the audio data into text data and summarize the text data into a data summary. The data summary is representative of a predicted intent associated with the audio data. The processor is configured to determine an interface property based on the data summary in response to summarizing the text data. The interface property is one or more communication commands to interact with the data summary. The processor is configured to determine an interface control based on the data summary and the interface property, bind the interface property to a rendered interface control, and present the rendered interface control to a workspace device.

Abstract: Systems and processes are disclosed to leverage conversational AI across voice and digital channels by automating employee interactions with clients to deliver humanized experiences with speed and accuracy. Live phone conversation. Transcriptions between clients and agents are generated. AI assist provides automation based on client interactions. Prompts are provided to speak to customers. Real time updates and summaries are sent to client devices and streamed to customize agent sessions. Auto navigation of agent views and manipulations of the agent screen are optimized by AI. Instant client validations are enabled via audible and visual confirmations on client devices. Various other AI implementations for improved processing our similarly disclosed.

Abstract: Systems and processes are disclosed to leverage conversational AI across voice and digital channels by automating employee interactions with clients to deliver humanized experiences with speed and accuracy. Live phone conversation. Transcriptions between clients and agents are generated. AI assist provides automation based on client interactions. Prompts are provided to speak to customers. Real time updates and summaries are sent to client devices and streamed to customize agent sessions. Auto navigation of agent views and manipulations of the agent screen are optimized by AI. Instant client validations are enabled via audible and visual confirmations on client devices. Various other AI implementations for improved processing our similarly disclosed.