Abstract: Examples provide acceptance-based meeting insights and action recommendations associated with a meeting prior to a scheduled occurrence of the meeting using meeting invitee responses. A meeting insights manager analyzes meeting response data for meeting invitees a threshold time-period prior to the start time of the meeting. A score is generated based on the number of accept and decline responses received from the invitees. A meeting insights notification including a recommended action is generated and provided to the meeting organizer if the score indicates an insufficient number of invitees have accepted the meeting invitation. The recommendation includes a recommendation to cancel the meeting, reschedule the meeting and/or send a reminder to unresponsive meeting invitees. A recommendation to reschedule can include one or more proposed alternative meeting times for use in rescheduling the meeting. The recommendation is selected based on the amount of time remaining until the scheduled start of the meeting.

Abstract: The present disclosure relates to generating performance profiles of member nodes. A plurality of electronic activities can be accessed. A subset of electronic activities from the plurality of electronic activities can be identified. The subset of electronic activities can be parsed to identify participants of the electronic activities. A second node profile can be accessed for each participant. Participant types can be identified from each second node profiles. A distribution of the subset of electronic activities can be determined. A performance profile can be generated.

Abstract: A smart change evaluation engine analyzes an existing and updated Robotic Process Automation (RPA) system and process flow and evaluates identified changes in the process, components, elements, and controls. The smart change evaluation engine outputs an appropriate change estimate value corresponding to an amount of change and/or effort to modify the RPA process flow. The smart change evaluation engine analyzes the recorded changes and assigns a rule-based value for every corresponding component in the process flow. A scoring algorithm is used to generate a change estimate value based on the analysis of the pre-change recordings, the post-change recordings, and from the data values captured from the actual robotic automated system, by doing dual checks resulting in best calculated estimates. The scoring value derived is used as an input for evaluating changes for (RPA) that may be required to support further development of services and/or applications provided by an enterprise organization.

Abstract: A work content analyzing apparatus of the present embodiment includes a first database storing state information indicating a state of each of one or a plurality of workers in association with time information and identification information of the worker, an estimation unit estimating the work content executed by the worker on the basis of at least two pieces of state information associated with same time in the state information stored in the first database, a specification unit specifying work time spent for the estimated work content on the basis of the state information stored in the first database and the time information associated with the state information, and an analysis unit analyzing the work content on the basis of the estimated work content and the specified work time.

Abstract: There are provided systems and methods for prognostic analytics of an asset. For example, there is provided a system for monitoring a reliability of a component of an asset. The system includes a processor and a memory comprising instructions that, when executed by the processor, cause it to perform certain operations. These operations may include receiving input data, which can include performance data relating to the component, configuration data relating to the component, and statistical data relating to a plurality of assets. The operations can further include providing a pre-emptive recommendation for the component based on the input data.

Abstract: A device and a method of providing a to-do list of a user are provided. The device includes a controller configured to collect behavior information about behavior between the user and another user, the behavior being performed by using the device, generate a to-do list of the user based on the collected behavior information, and determine an unperformed task not performed by the user from among at least one task in the to-do list by using log information about an operation of the device, and an output unit configured to output notification information in a dialogue style, along with a notification reason for notifying the determined unperformed task.

Abstract: An autonomic method for the comprehensive profiling of near or real time representations of time sequenced, synchronized, characterized business activity by any entity within a group of commercially related subscribing business partners, for the purpose of creating a near or real time universal business activity mosaic. An autonomic method within a group of commercially interrelated businesses to utilize a universal business activity mosaic to render a virtual customer storefront, whereby a business may discretely witness in time and character the sale of its own assets and services either fully or partially comprising those sold to anybody of related intermediate or end customers for the purpose of purchasing, selling, financing, warehousing or physically transporting assets on demand.

Abstract: A computing system may include a network connecting ally computers, a server, and an enterprise computer. The ally computers may be configured to send and to receive a patron endorsement from one line to another line. The server may be configured to index the patron endorsement into an endorsement data set by a unique patron number associated with a patron name, a sending line, a receiving line, and a patron needs met indication. The server may transform transform an enterprise patron needs met indication based on both sending line and receiving line as indexed in the first endorsement data set. The graphical user interface may depict first and second graphical user interfaces containing data fields populatable with the sending/receiving line and a number of endorsements, the patron needs met indication, and a conversion rate. A third graphical user interface may include data fields populatable with the enterprise patrons needs met.

Abstract: The present disclosure facilitates interfacing between a sales management system and a project planning system. In some embodiments, the system includes an interface and schedule engine, both executing on a server. The interface can parse a sales order from the sales management system into products and project tasks within the products. The products can also include at least one of a labor product, a parts product, and an agreements product. The schedule engine can generate schedule tasks corresponding to the project tasks, determine a performance order of the schedule tasks, and combine the schedule tasks into schedule phases based on the performance order. The schedule engine can determine a performance order of the schedule phases and combine the schedule phases into a schedule component based on the performance order. The interface can transmit the schedule component to the project planning system for execution.

Abstract: The disclosure relates to methods and related systems for precision crop modeling and management using the same. Precision crop modeling and management can be incorporated into various methods for growing plants such as crop plants and various methods for managing the growth of such plants in a particular field. The methods generally utilize in-season information relating to weather conditions actually experienced by the field to prepare mid-season, updated crop management plans. A crop management plan is determined using a crop model incorporating a variety of inputs and plant-specific material and energy balances to specify one or more grower-controlled management parameters. An updated plan for a given field can be followed by a grower to increase crop yield and/or optimize one or more other crop or field parameters.

Abstract: A computer-implemented method of identifying and mitigating information security risks may be provided. The method may involve an operator receiving control implementation inputs and historical and cyber risk intelligence control effectiveness data and combining the historical and cyber risk intelligence control effectiveness data and the operator control implementation input to determine a control effectiveness measurement for each of a plurality of risk scenarios. The determined control effectiveness measurement results may be aggregated for each of a plurality of controls for the plurality of risk scenario, a control effectiveness simulation model may be generated, and a control effectiveness simulation model summary may be outputted.

Abstract: Systems and methods to integrate point of sale processing, online order processing, coupon management, WiFi access management, and supply chain and store management, etc. In one aspect, a central server provides point of sale, coupon management and other functions via browser based interfaces. The system provides a coupon to a customer to offer discounts to friends of the customer and/or rewards to the customer if the friends of the customer use the coupon. The system validates the coupon when the coupon is used at POS terminals of the system and tracks the usage of the coupons to select customers for targeting future coupons. In another aspect, the central server is configured to provide the customer with WiFi access at the retail location where the order of the customer is fulfilled and further configured to automatically log the customer into an account of the customer hosted on a third party server.

Abstract: The present invention provides a data processing system and method for demand sensing and forecasting. The invention includes generating hierarchical data set from historical data of one or more objects and processing the hierarchical data based on one or more forecasting data models created by an artificial engine to predict data trend. The invention determines required safety stock for each category of the one or more objects.

Abstract: Methods and systems are provided that are directed to identifying an individual having a specific skill and that is best suited for performing a particular task. The individual may be identified based on having a highest score for the skill out of a pool of individuals having the same skill. In examples, a score specific to each individual out of the pool of individuals having the same skill may be based on multiple interactions with the skill and may be adjusted based on a recency of when each interaction occurred and a level of involvement the individual had with the skill. Accordingly, individuals having recent experience with the skill may be scored, and therefore, ranked higher than individuals having experience with the skill that may have occurred further back in time. In examples, the information about the skills and experiences may be utilized to automatically generate the score.

Abstract: An identity of a customer within an establishment is authenticated using a variety of captured biometric features obtained from sensors and/or video. Video capturing movements/interactions of the customer is analyzed in real time to identify the customer's behavior and actions. Any staff of the establishment who interact with the customer are identified from the video. Transaction data and other data retained for the customer by the establishment are aggregated and linked with the video and the customer identity. The linked data is analyzed in combination with the customer behavior and actions to determine responses within the establishment to customer-initiated transactions. In an embodiment, the customer is authorized to perform at least one transaction within the establishment based on the authenticated identity and linked data without a presentation by the customer of an identification card, a Personal Identification Number (PIN), a password and/or verification by a staff member.

Abstract: The present disclosure relates to generating and modifying recommended event sequences utilizing a dynamic user preference interface. For example, in one or more embodiments, the system generates a recommended event sequence using a recommendation model trained based on a plurality of historical event sequences. The system then provides, for display via a client device, the recommendation, a plurality of interactive elements for entry of user preferences, and a visual representation of historical event sequences. Upon detecting input of user preferences, the system can modify a reward function of the recommendation model and provide a modified recommended event sequence together with the plurality of interactive elements. In one or more embodiments, as a user enters user preferences, the system additionally modifies the visual representation to display subsets of the plurality of historical event sequences corresponding to the preferences.

Abstract: A method and system include code analysis and visualization technology. The method and system include (i) a repository that stores developer code in a codebase to which many developers and developer teams contribute code over time, (ii) one or more static analysis tools that identify misbehaviors in the codebase from a list of predetermined misbehaviors, (iii) a database that includes each commit that each developer performed on the codebase for a predetermined period of time, (iv) a code attribution tool that employs abstract syntax trees to determine if each commit that a particular developer performs resulted in breaking the code or impairing the code, or results in a failure to correct the code, or if clean code results, and (v) a dashboard tool that enables visualization at different levels of commits with misbehaviors over a predetermined period of time.

Abstract: Described herein is a computer-implemented method. The method comprises receiving an operation notification in respect of a gated operation from a change requesting system, determining an issue type associated with the gated operation, and creating an issue of the determined issue type. The method further comprises determining that the issue has transitioned state from a pending workflow state to a particular operation resolution workflow state and, in response, generating an operation resolution message which is communicated to the change requesting system.

Abstract: In some examples, a processor may access past order information for a plurality of merchants to determine, for an upcoming time period, a number of orders predicted to be received by the merchants. The processor may determine geographic locations of delivery agent devices, each associated with a respective delivery agent. The processor may compare, for the upcoming time period, a number of active delivery agents with the number of orders predicted to be received. Based at least on determining a predicted shortage of active delivery agents for the upcoming time period, the processor selects a first delivery agent of the plurality of delivery agents to pick up a first order from a first pickup location of a first merchant and a second order from a second pickup location of a second merchant, and sends a message to a first delivery agent device associated with the first delivery agent.

Abstract: Systems, methods, and computer-readable media for matching a job to a plurality of workers are described herein. A user device is associated with a worker from the plurality of workers. A processing circuit is structured to receive an electronic request. The electronic request comprises a data set related to the job. The processing circuit is further structured to generate a local disaster data set and a test requirement data set. The processing circuit is further structured to select at least one worker. The processing circuit is further structured to cause a client application deployed to the user device to display an electronic notification comprising at least in part the data set related to the job, a risk level rating, a risk level pay premium corresponding to the risk level rating, and an accept control structured to allow the worker to accept the job.