Abstract: A method for verifying regenerative management practices in agricultural parcels includes: determining a regenerative carbon footprint value for a parcel that comprises a difference of a regenerative carbon footprint and a baseline carbon footprint, where the baseline carbon footprint is derived by calculating greenhouse gas emissions based on simulating crops under current management practices, and where the regenerative carbon footprint is derived by calculating greenhouse gas emissions based on simulating crops under regenerative management practices corresponding to a plan proposed by a grower; approving and publishing carbon credits according to the plan; for key dates corresponding to each of the regenerative management practices, processing remotely sensed images against corresponding crop curves to determine compliance/noncompliance indicators corresponding to the key dates; and storing the compliance/noncompliance indicators database, and determining at a verification date compliance with the plan.

Abstract: Disclosed embodiments may provide a framework to implement an omnichannel relevance analysis system. In response to a request to obtain an omnichannel relevance for a product, the system identifies a set of relevancy attributes and domain priorities and obtains product data sets associated with a set of platforms through which the product is made available. Using these product data sets, the system generates an omnichannel relevance index to indicate a position of the product in relation to sets of other products made available within the set of platforms.

Abstract: Techniques for forecasting long duration floating holidays in online traffic are described.

Abstract: A prevention and safety management system utilizes a non-intrusive imaging sensor (e.g. surveillance cameras, smartphone cameras) and a computer vision system to record videos of workers not wearing sensors. The videos are analyzed using a deep machine learning algorithm to detect kinematic activities (set of predetermined body joint positions and angles) of the workers and recognizing various physical activities (walk/posture, lift, push, pull, reach, force, repetition, duration etc.). The measured kinematic variables are then parsed into metrics relevant to workplace ergonomics, such as number of repetitions, total distance travelled, range of motion, and the proportion of time in different posture categories. The information gathered by this system is fed into an ergonomic assessment system and is used to automatically populate exposure assessment tools and create risk assessments.

Abstract: A business analytics conversational tool comprising: a device comprising a communication channel, a natural language processor (NLP), a fulfillment application program interface (F-API), a database application program interface (D-API), and a business management database; wherein: the NLP receives a user-input from a user through the communication channel; the NLP deduces an intent of the user-input; the NLP communicates the intent to the F-API; the F-API communicates a request for data associated with the intent to the database via the D-API; the D-API communicates the data associated with the intent to the F-API; the F-API converts the data associated with the intent to conversational form and sends the conversational form for voice output through the communication channel.

Abstract: Various embodiments relate generally to computer science, data science, software, and computer program and platform architectures, including receiving from a device geolocation data and input data, parsing the input data, evaluating the event data and the location data to generate shipment data, parsing the account to identify subscription data, selecting a sample associated with another item, the sample being selected by an adaptive distribution platform, transmitting other data to the device that renders an electronically-displayed message on an interface on the device, calling one or more data services to retrieve item data associated with the item, and generating a retrieval option associated with the item if the threshold, the query, and the additional input data indicates the device is within a numerical range of the first location or an alternative location and retrieval of the item from the first location is indicated.

Abstract: A system for determining regenerative carbon footprint in agricultural parcels, including: a sequestration server, having: a management processor that builds first simulation inputs that correspond to baseline management practices, and that builds second simulation inputs that correspond to regenerative management practices; a crop simulation processor, that employs the first simulation inputs to simulate crop growth for a prescribed number of growing seasons to generate first outputs, and configured to employ the second simulation inputs to simulate crop growth for the prescribed number of growing seasons to generate second outputs; and a CO2E determination processor, that employs the first outputs and the second outputs to compute baseline annual carbon dioxide emissions and regenerative annual carbon dioxide emissions, and configured to subtract the baseline annual carbon dioxide emissions from the regenerative annual carbon dioxide emissions to yield a regenerative carbon footprint for the first agricultu

Abstract: A sales and marketing assistance system using predictive analytics is provided for assisting sales by leveraging predictive analytics. The sales and marketing assistance system using predictive analytics may include a database, data warehouse, parse component, analytic component, insight component, dashboard component, mapping component, contact management component, review management component, campaign component, and messaging component. A method for assisting sales by leveraging predictive analytics using the sales and marketing assistance system using predictive analytics is also provided.

Abstract: Methods and systems for prescription drug shipping selection are provided. The methods and systems include operations comprising: obtaining, by a server, activity data from a plurality of devices associated with a location, the activity data representing different types of activities that take place at the location over a threshold period of time; aggregating, by the server, the activity data to generate a location-based presence model for the location, the location-based presence model indicating likelihoods that a person is present at the location at a plurality of different time windows; and identifying, by the server, based on the location-based presence model, a time window for delivery of a perishable item to the location.

Abstract: An activity thread is displayed with display elements that represent different activities that correspond to a common identifier. The display includes filter user input mechanisms that are actuated to filter the display elements based on filter criteria.

Abstract: Improved energy conservation, including realization of a ZNET (Zero Net Energy including Transportation) paradigm, can be encouraged by providing energy consumers with a holistic view of their overall energy consumption. Current energy consumption in terms of space heating, water heating, other electricity, and personal transportation can be modeled by normalizing the respective energy consumption into the same units of energy. Options for reducing energy that can include traditional energy efficiencies, such as cutting down on and avoiding wasteful energy use and switching to energy efficient fixtures, and improving the thermal efficiency and performance of a building, can be modeled. Additional options can also include non-traditional energy efficiencies, such as replacing a gasoline-powered vehicle with an electric vehicle, fuel switching from a water heater fueled by natural gas to a heat pump water heater, and fuel switching from space heating fueled by natural gas to a heat pump space heater.

Abstract: There is disclosed a method and system for receiving a label for a digital task executed within a computer-implemented crowd-sourced environment, the method comprising: receiving, an indication of the digital task to be processed in the computer-implemented crowd-sourced environment; generating, a subset of examples, the subset of examples based on past digital tasks executed in the computer-implemented crowd-sourced environment, each of the subset of examples being similar to the digital task within a pre-determined similarity threshold; the subset of examples having a number of examples selected such that to provide maximum benchmark coverage with a minimum number of samples in the subset of examples; associating, the subset of examples to the digital task to be presented; causing the digital task to be presented on a computing device of at least one crowd-sourced worker in the computer-implemented crowd-sourced environment to solicit the label for the digital task.

Abstract: According to various aspects, systems and methods are provided for automatically matching recruiters to job openings. The system may train one or more models that determine a measure of compatibility between a recruiter and a job opening. The system may train the model(s) using stored records of activity tracked by the system. The measure of compatibility may be used to determine whether a recruiter is likely to place a candidate for a job opening. Some embodiments provide a system that can collect objective data about recruiters and hiring parties, and use the objective data to train the model(s).

Abstract: Systems and methods describe providing for the dynamic prediction of employee attrition within an enterprise organization. The systems and methods involve connecting to internal data sources within the enterprise and external data sources outside of the enterprise; receiving internal and external feed data relating to a number of entities within the enterprise, including at least one or more employees of the enterprise; converting the internal and external feed data into normalized feed data within a single format; generating enterprise graphs based on the normalized feed data, with each enterprise graph representing relationships between entities within the enterprise at a point in time; generating a risk assessment model related to changes in the enterprise graphs over time; and providing to enterprise users, based on the risk assessment model, one or more attrition probabilities for at least a subset of the employees of the enterprise.

Abstract: The present invention generally relates to a system and method creating secure data in a gas and oil supply chain. The system creates secure data related to oil and gas assets while traversing an oil and gas supply chain. At least one repository system(s), which collects secure data generated by capturing information using a secure observer device, sends the secure data to a gateway which is a part of a global management system or an integrity management system to create clustered events. The disclosure also relates to a system and method for managing and controlling data between entities in an oil and gas asset supply chain, and in particular to an excise tax management system and method to identify and reconcile tax filings, production volumes and operational reports.

Abstract: Computer-implemented systems and methods for the sale of consumer services. Predictions are made based on the behaviors, preferences, assets, identifying characteristics, and other attributes associated with customers and merchants. In one implementation, a prediction is made as to whether a customer is likely to request a service and whether a merchant is likely to be selected by the customer to provide the service. In another implementation, the calendars of a merchant and customer are automatically updated to account for the customer's late arrival to an appointment at the merchants location. In yet another implementation, a customer purchases an appointment for a service from another customer that has the appointment scheduled with a merchant providing the service.

Abstract: Technologies for interruptibility analysis and notification are disclosed. In at least one illustrative embodiment, a method may comprise generating a live data stream including activity data received from one or more sensors associated with a worker, repeatedly generating an interruptibility status of the worker as a function of the activity data in the live data stream over a recent time period, and transmitting a signal that causes one of a plurality of status indicators to be displayed, the displayed status indicator corresponding to the current interruptibility status of the worker.

Abstract: To increase the efficiency of a used vehicle data processing process while still tailoring to an individual user's unique specifications on a used vehicle, at least some pre-calculations are performed by a backend process before a request for data for a specified vehicle is received through a web site or a web server on the Internet. A user can be presented with an interface where the user can make a variety of determinations. After the user requests data on a specific vehicle configuration, a frontend process handles user-provided data in conjunction with the data calculated in the backend process to ensure that the results are better tailored to the user's specific vehicle attributes. The results can include pricing data such as a trade-in price, a list price, an expected sale price or range of sale prices, market low sale price, market average sale price, market high sale price, etc.

Abstract: Gross energy load can be determined by combining periodic net load statistics, such as provided by a power utility or energy agency, with on-site power generation, such as photovoltaic power generation, as produced over the same time period. The gross energy load provides an indication upon which other types of energy investment choices can be evaluated. These choices can include traditional energy efficiencies, such as implementing electrical efficiency measures, which includes cutting down on and avoiding wasteful energy use and switching to energy efficient fixtures, and improving the thermal efficiency and performance of a building. The choices can also include non-traditional energy efficiencies, such as replacing a gasoline-powered vehicle with an electric vehicle, fuel switching from a water heater fueled by natural gas to a heat pump water heater, and fuel switching from space heating fueled by natural gas to a heat pump space heater.

Abstract: A system and method for building energy-related changes evaluation with the aid of a digital computer are provided. Obtained is a total amount of fuel purchased for a building over a set period from which an existing amount of the fuel consumed for space heating is derived. Characteristics including thermal performance and furnace and delivery efficiencies of the building for both existing and proposed equipment are obtained, including remotely controlling a heating source inside the building. The thermal performance and furnace and delivery efficiencies characteristics of the existing and proposed equipment are expressed as interrelated ratios. An amount of fuel to be consumed for space heating is evaluated as a function of the existing amount of the fuel consumed for space heating and the ratios of the existing and proposed equipment.