Abstract: Systems and methods for forecasting commercial real estate lease rent rates are disclosed. Exemplary embodiments receive a series of independent variables that represent attributes of a specific commercial real estate property, scale and normalize the series of independent variables, and assemble the scaled and normalized series of independent variables. Weightings may be applied to the assembled scaled and normalized series of independent variables to predict a rental rate for the specific commercial real estate property.

Abstract: A method for enhancing rapid data analysis includes receiving a set of data; storing the set of data in a first set of data shards sharded by a first field; and identifying anomalous data from the set of data by monitoring a range of shard indices associated with a first shard of the first set of data shards, detecting that the range of shard indices is smaller than an expected range by a threshold value, and identifying data of the first shard as anomalous data.

Abstract: A system and method perform assessments of technical systems or institutions by applying one or more standards of practice to one or more entities. The system and method may apply those one or more standards of practice in a distributed piece-meal fashion allowing less trained personnel to accomplish more assessments with lower cost and in less time.

Abstract: In variants, the method for property condition analysis can include: determining a measurement, optionally determining a set of property attributes, determining a condition score, optionally providing the condition score, and optionally training a condition scoring model.

Abstract: Techniques including a system and method for optical character recognition. The techniques may involve the use of a system. The system may include a plurality of optical character recognition engines configured to process, in parallel, at least one document or portion thereof, and produce output results for each of the optical character recognition engines. The system may include a component adapted to combine the output results of each of the optical character recognition engines and produce a single unified view of the at least one document or portion thereof.

Abstract: Techniques including a system and method for processing insurance documents are provided. The techniques may involve the use of a system. The system may include a component configured to process a plurality of input document entities. The system may include a routing component configured to process the plurality of input document entities, wherein the routing component is configured to determine one or more workflows for processing at least one of the plurality of document entities. The system may include a workflow management component configured to process the at least one of the plurality of document entities.

Abstract: Techniques including a system and method for analyzing insurance claims. The techniques may involve the use of a system. The system may include a plurality of machine learning models trained on a plurality of insurance loss claim records, the plurality of machine learning models comprising: at least one machine learning model trained on open claims records; and at least one machine learning model trained on closed claims records. The system may include a component configured to predict a loss for a subject insurance claim based on outputs of the at least one machine learning model trained on open claims records and the at least one machine learning model trained on closed claims records.

Abstract: A system and method including receiving sets of sensor data associated with sensors configured to monitor one or more systems. Sensor fingerprints are generated for each set of sensor data based on the sensor data. At least one proximity value is computed for each sensor by comparing the fingerprint of that sensor with another fingerprint. Clusters of similar sensors are identified based at least upon the proximity values of the sensors.

Abstract: Systems, methods, and software are described which enable robust measurement of distances between 3D points, such as for pupillary distance (PD) of a wearer of corrective lenses that are known to be coplanar from a color-and-depth camera, e.g., a red-green-blue-depth (RGB-D) camera. Examples can provide a late fusion pipeline that first detects and tracks 2D landmarks in color imagery, projects those detections (detected 2D landmarks) into the depth frame, and discards measurements that appear noncoplanar and nonparallel. A user can be directed to change poses to precisely correct for nonparallel camera poses. Temporal filters can be used for the resulting distance measurements.

Abstract: A method for rapid data analysis includes receiving and interpreting a first query operating on a first dataset partitioned into shards by a first field; collecting a first data sample from a first set of data shards; calculating a first result to the first query based on analysis of the first data sample; and partitioning a second dataset into shards by a second field based on the first result.

Abstract: A method for stratified-sampling-based query execution includes: receiving a query; collecting a first data sample from the first dataset using a non-stratified sampling technique; performing statistical analysis on the first data sample; identifying a stratum classifier from the statistical analysis; generating a stratum classification by calculating strata boundaries for the stratum classifier; and calculating a result to the query based on analysis of the second data sample.

Abstract: Devices and methods for characterization and control of biopolymers and synthetic polymers during manufacturing. The device may include a body defining a fluid flow path. The body may be configured to receive a process flow liquid such that the process flow liquid may flow through an interior portion of the body. The body may also include a plurality of detectors inserted into said body, each of the plurality of detectors configured to monitor one or more process characteristics.

Abstract: The invention describes catheter systems and methods for accessing the brain during endovascular/neurointervention procedures in the treatment of ischemic stroke. More specifically, a multi-axial catheter system and kit is described that improves the process of accessing a carotid artery particularly in patients having a tortuous aortic arch and thereafter improves the process of gaining access to the brain to enable the insertion of aspiration and/or the deployment clot retrieval devices. In addition, methods of utilizing these systems are described.

Abstract: A universal deep probabilistic decision-making framework for dynamic process modeling and control, referred to as Deep Probabilistic Decision Machines (DPDM), is presented. A predictive model enables the generative simulations of likely future observation sequences for future or counterfactual conditions and action sequences given the process state. Then, the action policy controller, also referred to as decision-making controller, is optimized based on predictive simulations. The optimal action policy controller is designed to maximize the relevant key performance indicators (KPIs) relying on the predicted experiences of sensor and target observations for different actions over the near future.

Abstract: In variants, the method for change analysis can include detecting a rare change in a geographic region by comparing a first and second representation, extracted from a first and second geographic region measurement sampled at a first and second time, respectively, using a common-change-agnostic model.

Abstract: A system for streamlining health insurance claims adjudication in musculoskeletal diagnostics and interventions, the system causing a server to: process at least one document and image to produce at least one document and image feature; extract the at least one document and image feature to produce an extracted document and image feature; extract, via a classification and interpretation algorithm, the at least one peer review to produce an extracted opinion feature; analyze at least one social determinant of health to produce at least one analyzed social determinant of health; compile the extracted document feature, the extracted image feature, the extracted opinion feature, and the at least one analyzed social determinant of health to produce a compiled patient data; evaluate the compiled patient data; and produce, based upon the evaluation of the compiled patient data, at least one of a claim approval and a claim denial.

Abstract: Systems and methods generate a risk score for an account event. The systems and methods automatically generate a causal model corresponding to a user, wherein the model estimates components of the causal model using event parameters of a previous event undertaken by the user in an account of the user. The systems and methods predict expected behavior of the user during a next event in the account using the causal model. Predicting the expected behavior of the user includes generating expected event parameters of the next event. The systems and methods use a predictive fraud model to generate fraud event parameters. Generation of the fraud event parameters assumes a fraudster is conducting the next event, wherein the fraudster is any person other than the user. The systems and methods generate a risk score of the next event to indicate the relative likelihood the future event is performed by the user.