Abstract: Techniques and architectures for implementing a team of virtual assistants are described herein. The team may include multiple virtual assistants that are configured with different characteristics, such as different functionality, base language models, levels of training, visual appearances, personalities, and so on. The characteristics of the virtual assistants may be configured by trainers, end-users, and/or a virtual assistant service. The virtual assistants may be presented to end-users in conversation user interfaces to perform different tasks for the users in a conversational manner. The different virtual assistants may adapt to different contexts. The virtual assistants may additionally, or alternatively, interact with each other to carry out tasks for the users, which may be illustrated in conversation user interfaces.

Abstract: Techniques and architectures for implementing a team of virtual assistants are described herein. The team may include multiple virtual assistants that are configured with different characteristics, such as different functionality, base language models, levels of training, visual appearances, personalities, and so on. The characteristics of the virtual assistants may be configured by trainers, end-users, and/or a virtual assistant service. The virtual assistants may be presented to end-users in conversation user interfaces to perform different tasks for the users in a conversational manner. The different virtual assistants may adapt to different contexts. The virtual assistants may additionally, or alternatively, interact with each other to carry out tasks for the users, which may be illustrated in conversation user interfaces.

Abstract: Real-time speech analytics (RTSA) provides maintaining real-time speech conditions, rules, and triggers, and real-time actions and alerts to take. A call between a user and an agent is received at an agent computing device. The call is monitored to detect in the call one of the real-time speech conditions, rules, and triggers. Based on the detection, at least one real-time action and/or alert is initiated.

Abstract: Systems and methods are provided to stop both external and internal fraud, ensure correct actions are being followed, and information is available to fraud teams for investigation. The system includes components that can address: 1) behavioral analytics (ANI reputation, IVR behavior, account activity)—this gives a risk assessment event before a call gets to an agent; 2) fraud detection—the ability to identify, in real time, if a caller is part of a fraudster cohort' and alert the agent and escalate to the fraud team; 3) identity authentication—the ability to identify through natural language if the caller is who they say they are; and 4) two factor authentication—the ability to send a text message to the caller and automatically process the response and create a case in the event of suspected fraud.

Abstract: Techniques and architectures for implementing a team of virtual assistants are described herein. The team may include multiple virtual assistants that are configured with different characteristics, such as different functionality, base language models, levels of training, visual appearances, personalities, and so on. The characteristics of the virtual assistants may be configured by trainers, end-users, and/or a virtual assistant service. The virtual assistants may be presented to end-users in conversation user interfaces to perform different tasks for the users in a conversational manner. The different virtual assistants may adapt to different contexts. The virtual assistants may additionally, or alternatively, interact with each other to carry out tasks for the users, which may be illustrated in conversation user interfaces.

Abstract: Real-time speech analytics (RTSA) provides maintaining real-time speech conditions, rules, and triggers, and real-time actions and alerts to take. A call between a user and an agent is received at an agent computing device. The call is monitored to detect in the call one of the real-time speech conditions, rules, and triggers. Based on the detection, at least one real-time action and/or alert is initiated.

Abstract: Techniques and architectures for implementing a team of virtual assistants are described herein. The team may include multiple virtual assistants that are configured with different characteristics, such as different functionality, base language models, levels of training, visual appearances, personalities, and so on. The characteristics of the virtual assistants may be configured by trainers, end-users, and/or a virtual assistant service. The virtual assistants may be presented to end-users in conversation user interfaces to perform different tasks for the users in a conversational manner. The different virtual assistants may adapt to different contexts. The virtual assistants may additionally, or alternatively, interact with each other to carry out tasks for the users, which may be illustrated in conversation user interfaces.

Abstract: Real-time speech analytics (RTSA) provides maintaining real-time speech conditions, rules, and triggers, and real-time actions and alerts to take. A call between a user and an agent is received at an agent computing device. The call is monitored to detect in the call one of the real-time speech conditions, rules, and triggers. Based on the detection, at least one real-time action and/or alert is initiated.

Abstract: Systems and methods are provided to stop both external and internal fraud, ensure correct actions are being followed, and information is available to fraud teams for investigation. The system includes components that can address: 1) behavioral analytics (ANI reputation, IVR behavior, account activity)—this gives a risk assessment event before a call gets to an agent; 2) fraud detection—the ability to identify, in real time, if a caller is part of a fraudster cohort' and alert the agent and escalate to the fraud team; 3) identity authentication—the ability to identify through natural language if the caller is who they say they are; and 4) two factor authentication—the ability to send a text message to the caller and automatically process the response and create a case in the event of suspected fraud.

Abstract: Systems and methods are provided to stop both external and internal fraud, ensure correct actions are being followed, and information is available to fraud teams for investigation. The system includes components that can address: 1) behavioral analytics (ANI reputation, IVR behavior, account activity)—this gives a risk assessment event before a call gets to an agent; 2) fraud detection—the ability to identify, in real time, if a caller is part of a fraudster cohort? and alert the agent and escalate to the fraud team; 3) identity authentication—the ability to identify through natural language if the caller is who they say they are; and 4) two factor authentication—the ability to send a text message to the caller and automatically process the response and create a case in the event of suspected fraud.

Abstract: Systems and methods are provided to stop both external and internal fraud, ensure correct actions are being followed, and information is available to fraud teams for investigation. The system includes components that can address: 1) behavioral analytics (ANI reputation, IVR behavior, account activity)—this gives a risk assessment event before a call gets to an agent; 2) fraud detection—the ability to identify, in real time, if a caller is part of a fraudster cohort? and alert the agent and escalate to the fraud team; 3) identity authentication—the ability to identify through natural language if the caller is who they say they are; and 4) two factor authentication—the ability to send a text message to the caller and automatically process the response and create a case in the event of suspected fraud.

Abstract: Real-time speech analytics (RTSA) provides maintaining real-time speech conditions, rules, and triggers, and real-time actions and alerts to take. A call between a user and an agent is received at an agent computing device. The call is monitored to detect in the call one of the real-time speech conditions, rules, and triggers. Based on the detection, at least one real-time action and/or alert is initiated.

Abstract: A microcontroller device has a housing with a plurality of external pins having a plurality of input/output pins, a first microcontroller with a first central processing unit (CPU), a first system bus coupled with the first CPU, first memory coupled with the first system bus, and a first plurality of peripheral devices coupled with the first system bus, a second microcontroller with a second central processing unit (CPU), a second system bus coupled with the second CPU, second memory coupled with the second system bus, and a second plurality of peripheral devices coupled with the second system bus, and a pad ownership multiplexer unit being controllable to assign control of the input/output pins to either the first microcontroller or the second microcontroller, wherein the number of external pins is less than the sum of a data buswidth of the first and second microcontroller.

Abstract: A microcontroller device has a housing with a plurality of external pins a first microcontroller with a first central processing unit (CPU), a first system bus coupled with the first CPU, first memory coupled with the first system bus, and a first plurality of peripheral devices coupled with the first system bus, and a second microcontroller with a second central processing unit (CPU), a second system bus coupled with the second CPU, second memory coupled with the second system bus, and a second plurality of peripheral devices coupled with the second system bus, wherein first and second microcontroller communicate only via a dedicated interface.

Abstract: A microcontroller device has a housing with a plurality of external pins having a plurality of input/output pins, a first microcontroller with a first central processing unit (CPU), a first system bus coupled with the first CPU, first memory coupled with the first system bus, and a first plurality of peripheral devices coupled with the first system bus, a second microcontroller with a second central processing unit (CPU), a second system bus coupled with the second CPU, second memory coupled with the second system bus, and a second plurality of peripheral devices coupled with the second system bus, and a pad ownership multiplexer unit being controllable to assign control of the input/output pins to either the first microcontroller or the second microcontroller, wherein the number of external pins is less than the sum of a data buswidth of the first and second microcontroller.

Abstract: A microcontroller device has a housing with a plurality of external pins a first microcontroller with a first central processing unit (CPU), a first system bus coupled with the first CPU, first memory coupled with the first system bus, and a first plurality of peripheral devices coupled with the first system bus, and a second microcontroller with a second central processing unit (CPU), a second system bus coupled with the second CPU, second memory coupled with the second system bus, and a second plurality of peripheral devices coupled with the second system bus, wherein first and second microcontroller communicate only via a dedicated interface.

Abstract: Included are systems and methods for capturing screen data. At least one embodiment of a method includes receiving an indication of a communications session, wherein the communication session is associated with screen data and determining screen data to capture. Some embodiments include capturing data related to the screen data and uploading the captured data to a remote location.

Abstract: Systems and methods for recording an encrypted contact center interaction.

Abstract: Systems and methods for recording an encrypted contact center interaction.

Abstract: Systems and methods for selectively recording encrypted contact center interactions based upon characteristics associated with the interaction, a contact center, or a recording module.