Genworth Financial, Inc.

General Electric Company

Ge Capital Commercial Finance, Inc.

Ge Corporate Financial Services, Inc.

Genworth Holdings, Inc.

Richard Paul Messmer

Christopher Donald Johnson

Piero Patrone Bonissone

Marc Thomas Edgar

Marc Pavese

Dan Yang

Rajesh Venkat Subbu

Tim Kerry Keyes

Angela Patterson

Diane Marie Russell

William Michael Durham

David R Safford

Kunter Seref Akbay

William Cree Steward

Arvind Rangarajan

Kareem Sherif Aggour

Anil Varma

Antonio A Mogro-Campero

John Joseph Freer

Brian Nathan Dingman

Anindya Chakraborty

James Louis Cifarelli

Chandrasekhar Pisupati

Catharine Lynn Midkiff

David Jonathan Spencer

Yu-to Chen

Navneet Kapoor

Weizhong Yan

William David Smith, Ii

Vrinda Rajiv

Kete Chalermkraivuth

Atul Chandrakant Kshirsagar

Michael Craig Clark

Peter Arnold Kalish

David Richard Nelson

David Robert Safford

An exemplary additive manufacturing method includes receiving a build file comprising instructions for controlling the manufacturing hardware to generate an object, receiving a material identifier indicating a particular lot of manufacturing media, validating the build file and the material identifier via a distributed ledger to verify both an author of the build file and an origin of the particular lot of manufacturing media, causing manufacturing hardware to generate the object using the build file and the particular lot of manufacturing media, generating an object manufactured transaction to the distributed ledger indicating a result of the validation of the origin of the at least one of the build file or the material identifier, and certifying the object in response to verifying the author of the build file and the origin of the particular lot of manufacturing media, and wherein the object manufactured transaction indicates that the object is certified.

Methods and systems for implementing distributed ledger manufacturing history

Some aspects are directed to additive manufacturing systems. An example additive manufacturing system controller is configured to receive a build file comprising instructions for controlling the manufacturing hardware to generate the object, receive a material identifier indicating a particular lot of manufacturing media, validate the build file and the material identifier via a distributed ledger to verify at least one of an author of the build file or an origin of the particular lot of manufacturing media, control the manufacturing hardware using the build file to generate the object using the particular lot of manufacturing media, and in response to completion of the generation of the object, generate an object manufactured transaction to the distributed ledger indicating a result of the validation of the origin of the at least one of the build file or the material identifier.

According to some embodiments, a system may include a communication port to exchange information with a client device associated with an industrial control system. A network security server coupled to the communication port may include a computer processor adapted to provide a network security service for the client device. The computer processor may further be adapted to record security information about the client device via a blockchain verification process (e.g., by registering a validation result within a distributed ledger). The network security service might comprise, for example, an integrity attestation service providing software verification for the client device.

Blockchain verification of network security service

A system for at least a partial underwriting of insurance policies is described. Various rules are created, along with a degree of satisfaction for each rule. Rules may be directed toward various insurance underwriting components (e.g., cholesterol levels, blood pressure, etc.). Based on the degree of satisfaction for each rule, a component may be assigned to a category. Based on the category for each component, the insurance application may be assigned an underwriting category.

System for rule-based insurance underwriting suitable for use by an automated system

A system for representing information and decision flow requirements in a transactional business process is provided. The system comprises an information gathering object and a decision object. The information gathering object represents a piece of information used in the transactional business system and the decision object represents a satisfying condition for achieving an objective associated with the transactional business system. The system further comprises one or more information channels that link the information gathering objects to the one or more decision objects. The information channels represent the information and decision flow requirements within the transactional business system.

System and method for identifying, representing and evaluating information and decision flow requirements and processes in a transactional business system

A robust process for automating the tuning and maintenance of decision-making systems is described. A configurable multi-stage mutation-based evolutionary algorithm optimally tunes the decision thresholds and internal parameters of fuzzy rule-based and case-based systems that decide the risk categories of insurance applications. The tunable parameters have a critical impact on the coverage and accuracy of decision-making, and a reliable method to optimally tune these parameters is critical to the quality of decision-making and maintainability of these systems.

Process for optimization of insurance underwriting suitable for use by an automated system

A robust system for automating the tuning and maintenance of decision-making systems is described. A configurable multi-stage mutation-based evolutionary algorithm optimally tunes the decision thresholds and internal parameters of fuzzy rule-based and case-based systems that decide the risk categories of insurance applications. The tunable parameters have a critical impact on the coverage and accuracy of decision-making, and a reliable method to optimally tune these parameters is critical to the quality of decision-making and maintainability of these systems.

System for optimization of insurance underwriting suitable for use by an automated system

A process for at least a partial underwriting of insurance policies is described. Based on the similarity to previous insurance applications, a decision on the current request for underwriting may be made. This decision-making process represents an analogical approach to the placement of an insurance application to an underwriting category, whereby a given insurance application request is compared to previous requests.

Process for case-based insurance underwriting suitable for use by an automated system

A process for at least a partial underwriting of insurance policies is described. Various rules are created, along with a degree of satisfaction for each rule. Rules may be directed toward various insurance underwriting components (e.g., cholesterol levels, blood pressure, etc.). Based on the degree of satisfaction for each rule, a component may be assigned to a category. Based on the category for each component, the insurance application may be assigned an underwriting category.

Process for rule-based insurance underwriting suitable for use by an automated system

A method and system for automating the decision-making process used in underwriting of insurance applications is described. While this approach is demonstrated for insurance underwriting, it is broadly applicable to diverse decision-making applications in business, commercial, and manufacturing processes. A structured methodology is used based on a multi-model parallel network of multivariate adaptive regression splines ('MARS') models to identify the relevant set of variables and their parameters, and build a framework capable of providing automated decisions. The parameters of the MARS-based decision system are estimated from a database consisting of a set of applications with reference decisions against each. Cross-validation and development/hold-out combined with re-sampling techniques are used to build a robust set of models that minimize the error between the automated system's decision and the expert human underwriter. Furthermore, this model building methodology can be used periodically to update and maintain the family of models if required to assure currency.

System and process for multivariate adaptive regression splines classification for insurance underwriting suitable for use by an automated system

The invention provides systems and methods for determining the allocation of securities in a portfolio. The method includes providing a collection of securities in a portfolio, each security being associated with associated attributes; providing risk factor data related to the portfolio; pooling the securities into a plurality of security clusters based on the attributes associated with each security and the risk factor data, each security being assigned to an security cluster, the pooling being performed using multivariate decision tree processing; processing the security clusters using a nonlinear programming optimizer to generate optimization results; and presenting the optimization results in a risk-return space for determination of a security allocation.

Methods and systems for analytical-based multifactor Multiobjective portfolio risk optimization

A system for at least a partial underwriting of insurance policies is described. based on the similarity to previous insurance applications, a decision on the current request for underwriting may be made. this decision-making process represents an analogical approach to the placement of an insurance application to an underwriting category, whereby a given insurance application request is compared to previous requests.

System for case-based insurance underwriting suitable for use by an automated system

An integrated system organizes a company's experiences, operating procedures, best practices, information sources, competitive information and analytical tools. The goal is increasing profitability within a due diligence process while facilitating ongoing operations. The system incorporates a method for collaborating on due diligence issues to affect knowledge building within due diligence teams. The method includes accessing stored, accumulated knowledge in a repository from prior due diligence exercises, applying to due diligence decisions criteria based on consolidated analytical building blocks of past due diligence exercises and storing newly accumulated knowledge from the current due diligence exercise into the repository of accumulated knowledge. Access to this information is available globally via the internet as well as locally.

Methods and systems for rapid deployment of a valuation system

A method of valuation of large groups of assets by partial full underwriting, partial sample underwriting and inferred values of the remainder using an iterative and adaptive supervised and unsupervised statistical evaluation of all assets and statistical inferences drawn from the evaluation and applied to generate the inferred values. Individual asset values are developed and listed in tables so that individual asset values can be rapidly taken from the tables and quickly grouped in any desired or prescribed manner for bidding purposes. The assets are collected into a database, divided into categories by credit variable, subdivided by ratings as to those variables and then rated individually. The assets are then regrouped according to a bidding grouping and a collective valuations established by cumulating the individual valuations.

Valuation prediction models in situations with missing inputs

A method of valuation of large groups of assets by selecting a lowest variation assumption for asset valuation in order to limit risk includes the steps of evaluating assets by all known valuation methodologies which have merit for those particular assets, selecting the valuation methodology which is most accurate for the assets being evaluated and assigning values to the assets. Individual asset values are developed and listed in tables so that individual asset values can be taken from the tables and grouped in any desired manner. The asset s are divided into categories by credit variable and then rated individually.

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Rexford, NY, United States of America

Richard Paul Messmer