Abstract: Disclosed embodiments provide techniques for providing vehicular recommendations based on driver habits. Embodiments utilize a variety of input data, including, but not limited to, static vehicular data, dynamic vehicular data, and/or environmental data. In embodiments, empirical rules are used to adjust recommended maintenance schedules based on the input conditions. Additionally, the adjusted recommendations along with unscheduled maintenance data are input to a machine learning system, such as a neural network. The machine learning system is used to further revise the maintenance schedule, estimate end of life of the vehicle, and issue recommendations for when to sell a vehicle and recommendations on attributes of a new vehicle for acquisition.

Abstract: A computer-implemented method includes: monitoring, by a user device, a location of the user device; determining, by the user device and based on the monitoring, that the user is within a threshold distance or a threshold arrival time of the service provider location; and outputting, by the user device, user information to the service provider based on the determining that the user is within the threshold distance or the threshold arrival time of the service provider location. The user information indicates services to provide to the user by the service provider upon the user's arrival to the service provider location. The outputting causes the service provider to receive the user information for serving the user upon the user's arrival to the service provider location.

Abstract: A method for providing haptic feedback to participants of multi-party phone conversations that includes opening a communications session with a conference system for at least two users each having user specific communications devices, user specific conduct measuring devices, and user specific haptic feedback device registered with the conference system. Analyzing content of the communications session from content received by the conference system through the user specific communications device for at least one of the users; and capturing status for said at least two users from data measured by the user specific conduct measuring device for the at least two users. Determining with the conference system if the content of the communications session and the status of said at least two users calls for input by the user through said user specific communications device. Sending a feedback signal from the conference system to the user specific haptic feedback device.

Abstract: A method, apparatus, system, and computer program product for identifying a recommendation for an activity. Biometric data for a set of biometric parameters is received for a user. A set of comparable users having saved biometric data for the set of biometric parameters that are comparable to the biometric data for the set of biometric parameters for a user is identified. The recommendation for the activity is determined based on prior recommendations from the set of comparable users for the activity. The recommendation for the activity is sent to a client device, wherein the client device displays the recommendation for the activity to the user.

Abstract: Systems, methods and tools for improving healthcare communication between physicians and patients by utilizing audio recordings systems capable of collecting voice data of patient conversations with healthcare providers. The communication system converts the recorded voice data into text using voice to text conversion software, analyzes the voice data using a natural language processor to parse for key words and phrases relating to the patient's health and concerns. Voice data may be additionally analyzed by cognitive analysis systems and machine learning algorithms designed to identify the sentiment that the patient is portraying while discussing the patient's concerns about health-related experiences or symptoms and cross-referenced with social media and other external websites or applications, confirming a patient's sentiment or providing additional key words and phrases unraised by the patient when communicating with the physician.

Abstract: Systems, methods and tools for improving healthcare communication between physicians and patients by utilizing audio recordings systems capable of collecting voice data of patient conversations with healthcare providers. The communication system converts the recorded voice data into text using voice to text conversion software, analyzes the voice data using a natural language processor to parse for key words and phrases relating to the patient's health and concerns. Voice data may be additionally analyzed by cognitive analysis systems and machine learning algorithms designed to identify the sentiment that the patient is portraying while discussing the patient's concerns about health-related experiences or symptoms and cross-referenced with social media and other external websites or applications, confirming a patient's sentiment or providing additional key words and phrases unraised by the patient when communicating with the physician.

Abstract: A method for providing haptic feedback to participants of multi-party phone conversations that includes opening a communications session with a conference system for at least two users each having user specific communications devices, user specific conduct measuring devices, and user specific haptic feedback device registered with the conference system. Analyzing content of the communications session from content received by the conference system through the user specific communications device for at least one of the users; and capturing status for said at least two users from data measured by the user specific conduct measuring device for the at least two users. Determining with the conference system if the content of the communications session and the status of said at least two users calls for input by the user through said user specific communications device. Sending a feedback signal from the conference system to the user specific haptic feedback device.

Abstract: A method, system and computer readable program storage device for using augmented reality. In an embodiment, the method comprises determining one or more characteristics of a plurality of users, and determining whether a first and a second user of the plurality of users are in proximity to each other. Responsive to determining that the first and second users are in proximity to each other, determining defined information about the second user is determined; and responsive to determining the defined information of the second user, the defined information is displayed to the first user via an augmented reality display over a security badge associated with the second user. In embodiments, the determining one or more characteristics of a plurality of users includes determining one or more characteristics of the plurality of users based on location, social media, or work profiles.

Abstract: A method for providing haptic feedback to participants of multi-party phone conversations that includes opening a communications session with a conference system for at least two users each having user specific communications devices, user specific conduct measuring devices, and user specific haptic feedback device registered with the conference system. Analyzing content of the communications session from content received by the conference system through the user specific communications device for at least one of the users; and capturing status for said at least two users from data measured by the user specific conduct measuring device for the at least two users. Determining with the conference system if the content of the communications session and the status of said at least two users calls for input by the user through said user specific communications device. Sending a feedback signal from the conference system to the user specific haptic feedback device.

Abstract: A method for providing haptic feedback to participants of multi-party phone conversations that includes opening a communications session with a conference system for at least two users each having user specific communications devices, user specific conduct measuring devices, and user specific haptic feedback device registered with the conference system. Analyzing content of the communications session from content received by the conference system through the user specific communications device for at least one of the users; and capturing status for said at least two users from data measured by the user specific conduct measuring device for the at least two users. Determining with the conference system if the content of the communications session and the status of said at least two users calls for input by the user through said user specific communications device. Sending a feedback signal from the conference system to the user specific haptic feedback device.

Abstract: Systems and methods for computer-based escalation detection are disclosed. In embodiments, a method includes: determining an occurrence of an interaction event between a first party and a second party within a recording including audio data; analyzing the audio data; determining, based on the analyzing the audio data, an escalation during the interaction event to generate escalation data; saving the escalation data; partitioning each interaction event into a plurality of sections, wherein a first section represents a start of the interaction event, and another section represents an end of the interaction event; assigning a sentiment score for each of the plurality of sections; and calculating an overall sentiment score for the interaction event by combining the sentiment scores for each of the plurality of sections, wherein the saved escalation data includes the overall sentiment score.

Abstract: A method, executed by one or more processors, includes identifying at least one product for delivery and create a shipping manifest for the at least one product. The method includes extracting from the shipping manifest, a required amount of storage space for the at least one product and one or more environmental conditions required for storage of the at least one product at the receiving location. Furthermore, the method includes identifying a storage space location for storage of the at least one product at the receiving location, wherein the identified storage space location provides the required amount of storage space and the one or more environmental conditions required for the at least one product.

Abstract: A system and method for filtering recommendations for an exercise machine based on a user fitness metric compared to similar fitness metrics of other users includes receiving biometric and activity data from a plurality of registered users, obtaining a machine usage data from a plurality of internet-connected exercise machines associated with the plurality of registered users, profiling the plurality of registered users using the biometric and activity data and the machine usage data to determine a fitness metric of each registered user, calculating the user fitness metric, in response to receiving a user request for recommendations and reviews for the exercise machine, and filtering the recommendations and reviews for the exercise machine to exclude recommendations and reviews from the plurality of registered users having a fitness metric that does not correspond to the user fitness metric.

Abstract: A computer-implemented method includes: monitoring, by a user device, a location of the user device; determining, by the user device and based on the monitoring, that the user is within a threshold distance or a threshold arrival time of the service provider location; and outputting, by the user device, user information to the service provider based on the determining that the user is within the threshold distance or the threshold arrival time of the service provider location. The user information indicates services to provide to the user by the service provider upon the user's arrival to the service provider location. The outputting causes the service provider to receive the user information for serving the user upon the user's arrival to the service provider location.

Abstract: Disclosed embodiments provide techniques for providing vehicular recommendations based on driver habits. Embodiments utilize a variety of input data, including, but not limited to, static vehicular data, dynamic vehicular data, and/or environmental data. In embodiments, empirical rules are used to adjust recommended maintenance schedules based on the input conditions. Additionally, the adjusted recommendations along with unscheduled maintenance data are input to a machine learning system, such as a neural network. The machine learning system is used to further revise the maintenance schedule, estimate end of life of the vehicle, and issue recommendations for when to sell a vehicle and recommendations on attributes of a new vehicle for acquisition.

Abstract: A computer-implemented method includes: monitoring, by a user device, a location of the user device; determining, by the user device and based on the monitoring, that the user is within a threshold distance or a threshold arrival time of the service provider location; and outputting, by the user device, user information to the service provider based on the determining that the user is within the threshold distance or the threshold arrival time of the service provider location. The user information indicates services to provide to the user by the service provider upon the user's arrival to the service provider location. The outputting causes the service provider to receive the user information for serving the user upon the user's arrival to the service provider location.

Abstract: At an application executing in a system, a usage pattern of the system and an entry in a data use history of the system are analyzed. Responsive to the analyzing, a data item is identified for caching at the system, wherein the data item is accessible to the system from at a remote data processing system over a data network at a present time, and the data item will be requested from the system at a future time when no network connectivity will be available to the system. A determination is made whether a caching control prevents the caching of the data item at the system. Responsive to the caching control not preventing the caching of the data item, the data item is cached on the system.

Abstract: Systems and methods for computer-based escalation detection are disclosed. In embodiments, a method includes: determining an occurrence of an interaction event between a first party and a second party within a recording including audio data; analyzing the audio data; determining, based on the analyzing the audio data, an escalation during the interaction event to generate escalation data; saving the escalation data; partitioning each interaction event into a plurality of sections, wherein a first section represents a start of the interaction event, and another section represents an end of the interaction event; assigning a sentiment score for each of the plurality of sections; and calculating an overall sentiment score for the interaction event by combining the sentiment scores for each of the plurality of sections, wherein the saved escalation data includes the overall sentiment score.

Abstract: Systems an methods of computer-based escalation detection are disclosed. In embodiments, a method includes: determining an occurrence of an interaction event between a first and second party within a recording including audio data; analyzing the audio data; determining an escalation during the interaction event to generate escalation data; partitioning each interaction event into a plurality of sections; assigning a sentiment score for each of the plurality of section; calculating an overall sentiment score for the interaction event, wherein the saved escalation data includes the overall sentiment score; graphing the overall sentiment score for the interaction event with a plurality of additional overall sentiment scores from respective additional interaction events to produce a graph of sentiment scores over time; and detecting a pattern of increasing of decreasing overall sentiment scores over time based on the graph.

Abstract: Systems, methods and tools for improving healthcare communication between physicians and patients by utilizing audio recordings systems capable of collecting voice data of patient conversations with healthcare providers. The communication system converts the recorded voice data into text using voice to text conversion software, analyzes the voice data using a natural language processor to parse for key words and phrases relating to the patient's health and concerns. Voice data may be additionally analyzed by cognitive analysis systems and machine learning algorithms designed to identify the sentiment that the patient is portraying while discussing the patient's concerns about health-related experiences or symptoms and cross-referenced with social media and other external websites or applications, confirming a patient's sentiment or providing additional key words and phrases unraised by the patient when communicating with the physician.