Abstract: Systems, methods, and apparatus are described herein for scalable household transaction ingestion. A method of scalable household transaction ingestion may include receiving first transaction data associated with a first transaction performed via a first browser session initialized by a first user via a first browser on a first user computing device. The method may include determining a first address of a first household of the first user based on the first latitude coordinate and the first longitude coordinate using a map application programming interface (API). The method may include determining first resident density data for the first household at the determined first address based on the first transaction data. The method may include anonymizing the first resident density data to remove any personally identifiable information (PII). The method may include pre-processing the first transaction data and the first resident density data for analysis.

Abstract: A platform for managing work is disclosed. In example embodiments, the platform may match orders and workers. In some embodiments, the platform may use one or more models that have inputs related to order characteristics or past worker behavior. In some embodiments, the platform may receive future orders and actualize future orders. To actualize future orders, the platform may use one or more models that have inputs related to order characteristics or past worker behavior. In some examples, orders may be shopping orders or deliveries. In some examples, workers may be shoppers or drivers.

Abstract: Analyzing chatbot/employee dialogs is provided. An analysis of a dialog between a chatbot manager and a plurality of employees regarding a current corporate topic is performed using an artificial intelligence component. Relevant information regarding the current corporate topic is extracted from the dialog based on the analysis. Insights corresponding to the relevant information regarding the current corporate topic are generated using the artificial intelligence component. The relevant information regarding the current corporate topic and the insights are displayed in a dashboard on a client device of a human resource agent.

Abstract: Systems and methods are disclosed for assisting users in assessing costs of transactions. For instance, method may include: determining a cost value of at least one transaction associated with a user; classifying the user into a category, based on consumer interest characteristics of the user and consumer interest characteristics associated with the category; determining a relatable product based on the consumer interest characteristics associated with the category, the relatable product being a product purchased by a plurality of persons classified in the category; determining a relatable cost value, the relatable cost value being a representation of the cost value of the at least one transaction using a quantity of the respective relatable product; and presenting the relatable cost value to the user.

Abstract: The embodiments of the present disclosure provide a method for smart gas pipeline network inspection, implemented on a smart gas pipeline network security management platform based on an Internet of Things system for smart gas pipeline network inspection, and the method comprising: obtaining a gas pipeline network distribution; determining at least one inspection sub-area based on the gas pipeline network distribution; determining, based on the at least one inspection sub-area, an inspection plan for each of the at least one inspection sub-area, the inspection plan at least including an inspection frequency.

Abstract: Disclosed is a business performance predicting method performed by a company business performance predicting apparatus including obtaining, by an information collection unit, a data set including internal data and external data of a specific company, classifying, by an information classification unit, the data set into first data including structured data and second data including unstructured data, processing, by an information processing unit, the second data into third data being structured data corresponding to the first data, extracting, by a feature extraction unit, a feature based on the first data and the third data, and providing business performance prediction data of the specific company and business indicator data of the specific company mapped to a predetermined statistical attribute field through a predetermined prediction model in response to an individual characteristic of the feature.

Abstract: Systems, methods, and computer-readable media are disclosed for providing a canvas for constructing a workflow having at least one block with Artificial Intelligence (AI) functionality. Operations include displaying a canvas for containing and interconnecting workflow blocks, and enabling placement of workflow blocks on the canvas. The workflow blocks include trigger blocks and action blocks. At least one of the at least one trigger block or the at least one action block is configurable to gain permissions to access a source of dynamic data, enabling placement of an AI block at a downstream location from the plurality of workflow blocks on the canvas. The AI block is enabled to access the source of dynamic data by virtue of the downstream location, and providing an output from the AI block. A prompt of the AI block includes data from the source of dynamic data.

Abstract: A behavior-dependent audience populated with content consumers based on analysis of records of their actions is identified. Rules for including content consumers, without using their identity information, within a synthesized audience are generated based on a relationship determined between membership in the behavior-dependent audience and a set of properties of content presentation triggering events. In response to a particular content presentation triggering event, a content item which is targeted to the behavior-dependent audience is presented to a particular content consumer who satisfies a rule for inclusion in the synthesized audience.

Abstract: In one example, a non-transitory computer-readable storage medium with program instructions for determining anomalies in machine learning models and impact on business output data thereof is disclosed. The method accesses machine learning model variables for a machine learning model, and determines a deviation in behavior of the machine learning model by performing statistical analysis on each machine learning model variable to identify statistical differences between machine learning model variable data captured in a given time window and data captured in a previous time window at the same time of a prior day, prior week, etc. If statistical differences exist, the method performs anomaly detection to determine whether the statistical differences are an anomaly. If so, the method determines whether the anomaly causes an impact on business decision output data, and if so, identifying a root cause and generating a notification alert for corrective action.

Abstract: Systems and methods for delivering data-driven experiences of a product are described herein. In some embodiments, a server receives user data associated with a plurality of users using the product. The server identifies, from the plurality of users, a first user belonging to a first cohort based on at least one of user behaviors and user properties associated with the first user included in the user data. The server causes an experience of the product to be delivered to the first user. The server then detects that the first user has switched from a first device to a second device. The server further causes the experience to continue to be delivered to the first user.

Abstract: Systems and techniques for dynamic memoryless demand-supply pegging are described herein. An identification may be received of a demand to be pegged. An inventory may be determined for a material node at a time bucket. A set of other demands may be identified for the material node at the time bucket. A quantity to be pegged may be calculated. A quantity to skip may be calculated based on a sum of demand units corresponding to members of the set of other demands having a lower priority than the demand. A supply set of units may be identified. A pegged subset of the supply set of units may be generated by skipping members of the supply units equal to the quantity to skip. A graphical representation of the supply set of units for the time bucket may be output including identification of members of the pegged subset.

Abstract: Proposed is an automated measuring system for progress monitoring and steering of impacts of a complex system to world environment and ecosystem induced by environmental-human linkages and for quantitative measuring of effects of applied risk-transfer structures to said environmental-human linkages induced by risk-transfer-SDG linkages measuring quantifying distances of progresses toward at least one of a predefined sustainable development goal with and without applying said risk-transfer structures.

Abstract: A method for adjusting a cleaning schedule for cleaning sessions of a scraper arrangement (1) arranged for removing manure in a livestock area. One cleaning session comprises one cleaning along a predefined path in the livestock area. The method comprises monitoring (S2), while performing cleaning sessions in accordance with the cleaning schedule, a load quantity representing an amount of material moved by the scraper arrangement (1). The method also comprises adjusting (S5) the cleaning schedule, based on a variation in the monitored load quantity among the monitored cleaning sessions. The disclosure also relates to a control arrangement (10).

Abstract: A computer-implemented method includes receiving a natural language input including a natural language request for executing an analytical task and processing the natural language input by a language model, where the processing may include translating the natural language input to an analytical function call for calling an analytical function of a set of distinct analytical functions of an analytics computing server. Additionally, the computer-implemented method includes calling the analytical function at the analytics computing server using the analytical function call, receiving a technical output in response to calling the analytical function, and outputting a response to the natural language input that includes the technical analytical output.

Abstract: Methods, apparatus, systems, and articles of manufacture to estimate cardinality of users represented in arbitrarily distributed bloom filter arrays are disclosed. A system includes a communication interface to: access a first Bloom filter array representative of first entries in a first database, the first entries allocated to ones of first elements in the first Bloom filter array based on a non-uniform distribution of outputs of a hash function applied to the first entries, and access a second Bloom filter array representative of second entries in a second database. The system also includes machine readable instructions to cause one or more processors to estimate a cardinality of a union of the first and second entries based on the non-uniform distribution of the outputs of the hash function.

Abstract: Techniques are described herein that are capable of using weighted peer groups to selectively trigger a security alert. A determination is made that an entity performs an operation. The entity has peers that are categorized among peer groups. For each peer group, an extent to which the peers in the peer group perform the operation is determined. Weights are assigned to the respective peer groups. For each peer group, the extent to which the peers in the peer group perform the operation and the weight that is assigned to the peer group are combined to provide a respective weighted group value. A risk score, which is based at least in part on the weighted group values of the peer groups, is assigned to the operation. The security alert regarding the operation is selectively triggered based at least in part on the risk score.

Abstract: An apparatus and methods for predicting a resource growth pattern are provided. The apparatus comprises a processor and a memory connected to the processor. The memory contains instructions configuring the processor to receive a datum, where the datum describes a prioritization value of a first activity pattern relative to a second activity pattern. The processor may classify the datum to a label selected from multiple labels based on the prioritization value. Classifying includes generating a representation of the datum in a first space having a first number of dimensions using a first machine-learning process and projecting the representation of the datum to a second space having a second number of dimensions using a second machine-learning process to result in a projected representation of a second number of dimensions describing an object sequence. The processor may generate an interface query data structure to at least display the resource growth pattern.

Abstract: Methods, apparatuses, systems, computing entities, and/or the like are provided. An example method may include retrieving a scheme data object; generating a tabular data object; generating a graph data object including a plurality of nodes and a plurality of edges; calculating, based on the graph data object, a plurality of node attributes for the plurality of nodes and a plurality of edge attributes for the plurality of edges; identifying at least one irregular member node from the plurality of member nodes; identifying at least one irregular referring provider node from the plurality of referring provider nodes; identifying at least one irregular servicing provider node from the plurality of servicing provider nodes based at least in part on the at least one irregular member node and the at least one irregular referring provider node; and performing one or more responsive actions.

Abstract: A system and method for a risk management visualization system comprises a computer having a processor and memory and configured to model a supply chain network as a supply chain planning problem, one or more key process indicators (KPIs) of the supply chain planning problem is based, at least in part, on the one or more input variables, model an impact on the one or more KPIs from each of the one or more input variables at a selected confidence interval using a Bayesian optimization process, and display a visualization of a risk profile for the one or more KPIs, the visualization indicating a probability that an actual KPI value differs from a predicted KPI value.

Abstract: A method and a system for automatically processing financial documents to generate knowledge graphs that convey information relating to entities of interest and relationships between those entities are provided. The method includes: receiving a document; extracting raw text included in the document; identifying, based on the extracted raw text, a set of entities that are named in the document; determining respective relationship information that corresponds to respective pairs of entities; constructing a knowledge graph that illustrates respective relationships among the respective pairs of entities; and outputting the knowledge graph. The determination of the respective relationship information may be performed by applying an artificial intelligence (AI) algorithm that is trained by using historical data that relates to the set of entities.