Abstract: A provider computing system includes a processing circuit having at least one processor coupled to at least one memory device and at least one artificial intelligence (AI) system. The processing circuit performs operations including retrieving first data from one or more data sources associated with a user; generating a model associated with the user based on the first data; and receiving, from a client computing device of the user, a query for information relating to a primary topic. The at least one AI system is configured to perform operations including generating a user knowledge dataset relating to the primary topic; determining one or more prompts according to the user knowledge dataset; presenting, via the client computing device, the one or more prompts to the user; and receiving, via the client computing device, a response to the one or more prompts from the user.

Abstract: Various examples are directed to systems and methods for detecting potentially fraudulent voice calls to a financial services institution. A computing system may receive an indication of a voice call placed by a voice caller to an operator. The computing system may generate a network address indicator describing a network location. The network address indicator may be provided to the voice caller. The computing system may receive an indication of a financial services account indicated by the voice caller. The computing system may also receive an indication of an access to the network location by a remote device. The computing system may determine, using the indication of the access to the network location, a first location associated with the remote device and determine that the first location does not match a second location associated with the financial services account. The computing system may generate an alert indicating that the voice call is potentially fraudulent.

Abstract: Various examples are directed to systems and methods for detecting potentially fraudulent voice calls to a financial services institution. A computing system may receive an indication of a voice call placed by a voice caller to an operator. The computing system may generate a network address indicator describing a network location. The network address indicator may be provided to the voice caller. The computing system may receive an indication of a financial services account indicated by the voice caller. The computing system may also receive an indication of an access to the network location by a remote device. The computing system may determine, using the indication of the access to the network location, a first location associated with the remote device and determine that the first location does not match a second location associated with the financial services account. The computing system may generate an alert indicating that the voice call is potentially fraudulent.

Abstract: A provider computing system includes a processing circuit having at least one processor coupled to at least one memory device and at least one artificial intelligence (AI) system. The processing circuit performs operations including retrieving first data from one or more data sources associated with a user; generating a model associated with the user based on the first data; and receiving, from a client computing device of the user, a query for information relating to a primary topic. The at least one AI system is configured to perform operations including generating a user knowledge dataset relating to the primary topic; determining one or more prompts according to the user knowledge dataset; presenting, via the client computing device, the one or more prompts to the user; and receiving, via the client computing device, a response to the one or more prompts from the user.

Abstract: Aspects of the present disclosure include techniques for building utilization. In one example, a method includes receiving, via one or more sensors, a first sensor data indicating a work area of a first individual within a building, and receiving, via the via the one or more sensors, a second sensor data indicating a second individual entering the building. The method additionally include accessing stored data from a data store indicating the existence of a team affiliation between the first individual and the second individual, and calculating a cluster area encompassing the work area of the first individual. The method also includes assigning a second work area to the second individual, wherein second work area is disposed within the cluster area, continually monitoring, via the one or more sensors, a plurality of locations for a plurality of individuals entering the building, and assigning work areas to the plurality of the individuals.

Abstract: Systems and techniques for are described herein. A voice profile may be generated for a user. An audio stream may be received including an authentication voice of the user. It may be determined that the authentication voice does not match a first set of authentication criteria. The audio stream may be compared to a second set of authentication criteria. The user may be authenticated based on the comparison.

Abstract: A system receives a selection, by a first entity, of product, provided by a second entity, wherein the first entity and the second entity are members of an entity network. The system receives an indication of receipt of the product via an application programming interface (API), transmitted by a first entity, and derives a first ranking metric for the second entity of the entity network based on feedback received from the first entity of the entity network. The system derives a second ranking metric for the second entity of the entity network based on one or more transactions received from a third entity of the entity network, determines whether the first ranking metric is valid based on the second ranking metric, and provides the first ranking metric to entities of the entity network based on the validity of the first ranking metric.

Abstract: Various examples are directed to systems and methods for detecting potentially fraudulent voice calls to a financial services institution. A computing system may receive an indication of a voice call placed by a voice caller to an operator. The computing system may generate a network address indicator describing a network location. The network address indicator may be provided to the voice caller. The computing system may receive an indication of a financial services account indicated by the voice caller. The computing system may also receive an indication of an access to the network location by a remote device. The computing system may determine, using the indication of the access to the network location, a first location associated with the remote device and determine that the first location does not match a second location associated with the financial services account. The computing system may generate an alert indicating that the voice call is potentially fraudulent.

Abstract: Various examples are directed to systems and methods for detecting potentially fraudulent voice calls to a financial services institution. A computing system may receive an indication of a voice call placed by a voice caller to an operator. The computing system may generate a network address indicator describing a network location. The network address indicator may be provided to the voice caller. The computing system may receive an indication of a financial services account indicated by the voice caller. The computing system may also receive an indication of an access to the network location by a remote device. The computing system may determine, using the indication of the access to the network location, a first location associated with the remote device and determine that the first location does not match a second location associated with the financial services account. The computing system may generate an alert indicating that the voice call is potentially fraudulent.

Abstract: Systems and techniques for are described herein. A voice profile may be generated for a user. An audio stream may be received including an authentication voice of the user. It may be determined that the authentication voice does not match a first set of authentication criteria. The audio stream may be compared to a second set of authentication criteria. The user may be authenticated based on the comparison.

Abstract: Systems and techniques for authentication of impaired voices are described herein. A voice profile may be generated for a user. An audio stream may be received including an authentication voice of the user. It may be determined that the authentication voice does not match a first set of authentication criteria. The audio stream may be compared to a second set of authentication criteria. The user may be authenticated based on the comparison.

Abstract: Systems and techniques for bi-directional voice authentication are described herein. A first audio segment and a first description of the first audio segment may be received. An authentication token may be created using the first audio segment and the first description. An authentication request may be received from the user. The first audio segment may be transmitted to the user. A second description of the first audio segment may be received from a device of the user in response to the transmission of the first audio segment, The second description may be compared to the first description. The authentication token may be selected based on the comparison. The authentication token may be transmitted to the device.

Abstract: Various examples are directed to systems and methods for detecting potentially fraudulent voice calls to a financial services institution. A computing system may receive an indication of a voice call placed by a voice caller to an operator. The computing system may generate a network address indicator describing a network location. The network address indicator may be provided to the voice caller. The computing system may receive an indication of a financial services account indicated by the voice caller. The computing system may also receive an indication of an access to the network location by a remote device. The computing system may determine, using the indication of the access to the network location, a first location associated with the remote device and determine that the first location does not match a second location associated with the financial services account. The computing system may generate an alert indicating that the voice call is potentially fraudulent.

Abstract: Various examples are directed to systems and methods for detecting potentially fraudulent voice calls to a financial services institution. A computing system may receive an indication of a voice call placed by a voice caller to an operator. The computing system may generate a network address indicator describing a network location. The network address indicator may be provided to the voice caller. The computing system may receive an indication of a financial services account indicated by the voice caller. The computing system may also receive an indication of an access to the network location by a remote device. The computing system may determine, using the indication of the access to the network location, a first location associated with the remote device and determine that the first location does not match a second location associated with the financial services account. The computing system may generate an alert indicating that the voice call is potentially fraudulent.

Abstract: Intelligent authentication is disclosed. Data associated with a request for resource access by a user is compared to values of factors related to previous resource access by the user. A score is computed based on a result of the compare. Here, the score represents a degree of likelihood the user is the user associated with the previous resource access. An authentication level can then be determined based on the score, and authentication of the user triggered at the authentication level. In one instance, the authentication can be triggered to re-authenticate a user after a user session times out.

Abstract: Systems and techniques for bi-directional voice authentication are described herein. A first audio segment and a first description of the first audio segment may be received. An authentication token may be created using the first audio segment and the first description. An authentication request may be received from the user. The first audio segment may be transmitted to the user. A second description of the first audio segment may be received from a device of the user in response to the transmission of the first audio segment. The second description may be compared to the first description. The authentication token may be selected based on the comparison. The authentication token may be transmitted to the device. Requests of the user for secure information may be authenticated using the authentication token for a duration of an interaction session between the user and the device.

Abstract: Systems and techniques for authentication of impaired voices are described herein. A voice profile may be generated for a user. An audio stream may be received including an authentication voice of the user. It may be determined that the authentication voice does not match a first set of authentication criteria. The audio stream may be compared to a second set of authentication criteria. The user may be authenticated based on the comparison.

Abstract: Various examples are directed to systems and methods for detecting potentially fraudulent voice calls to a financial services institution. A computing system may receive an indication of a voice call placed by a voice caller to an operator. The computing system may generate a network address indicator describing a network location. The network address indicator may be provided to the voice caller. The computing system may receive an indication of a financial services account indicated by the voice caller. The computing system may also receive an indication of an access to the network location by a remote device. The computing system may determine, using the indication of the access to the network location, a first location associated with the remote device and determine that the first location does not match a second location associated with the financial services account. The computing system may generate an alert indicating that the voice call is potentially fraudulent.

Abstract: Systems, methods, and other embodiments associated with bidirectional authorization are described herein. According to one embodiment, a method includes a user receiving a communication from an entity. In response to receiving the communication from the entity, the method further includes generating a token. The token may be personal identification number (PIN), alphanumeric value, code word, pass phrase, or security question. The token is received by a device of the user. Additionally, the token is transmitted to the entity. The user may then receive evidence of the token from the entity.

Abstract: Various examples are directed to systems and methods for detecting potentially fraudulent voice calls to a financial services institution. A computing system may receive an indication of a voice call placed by a voice caller to an operator. The computing system may generate a network address indicator describing a network location. The network address indicator may be provided to the voice caller. The computing system may receive an indication of a financial services account indicated by the voice caller. The computing system may also receive an indication of an access to the network location by a remote device. The computing system may determine, using the indication of the access to the network location, a first location associated with the remote device and determine that the first location does not match a second location associated with the financial services account. The computing system may generate an alert indicating that the voice call is potentially fraudulent.