The claimed system and method describes a root cause analysis system for a radio access network. Some aspects include automatic identification of possible causes for network issues, their ranking, determination of the root (main) cause and execution of related best actions, alerts and reporting in order to automatically identify, mitigate or eliminate the problem.

Introduced herein are methods and systems for determining machine learning marketing strategy. For example, a computer-implemented method according to the disclosed technology includes steps of identifying one or more business metrics to be driven by a marketing plan; generating one or more response functions of the business metrics by performing a machine learning process on a marketing dataset; optimizing a spending subject of the marking plan subject to constraints to generate a marketing strategy based on multiple decision variables; and presenting the marketing strategy to an advertiser.

A method includes determining, by an analysis system, a system aspect of a system for an issue response analysis evaluation. The method further includes determining, by the analysis system, at least one evaluation perspective and at least one evaluation viewpoint for use in performing the issue response analysis evaluation on the system aspect. The method further includes obtaining, by the analysis system, issue response analysis data regarding the system aspect in accordance with the at least one evaluation perspective and the at least one evaluation viewpoint. The method further includes calculating, by the analysis system, an issue response analysis rating as a measure of system issue response analysis maturity for the system aspect based on the issue response analysis data, the at least one evaluation perspective, the at least one evaluation viewpoint, and at least one evaluation rating metric.

One or more embodiments describe techniques for proactively connecting members of an organization together based on detected interest in a particular topic. The system analyzes a profile of a member to detect a particular topic associated with the member, and based on evaluating a set of interactions that another member of the organization had regarding the particular topic, generates an overall connection score for rating a connection between the second member and the particular topic. Responsive to determining that the overall connection score meets a threshold value, the system transmits a communication to generate a connection between the two members, and any other members whose overall connection scores meet the threshold value, for initiating collaboration on the particular topic amongst the various connected members.

Methods, systems, and apparatus, including computer programs encoded on computer storage media for carpool dual-pricing in ridesharing are provided. An exemplary method comprises: determining an expected trip count based on a plurality of carpool requests in a pricing unit and a pair of price adjustment multipliers applied to the pricing unit; for each of the plurality of carpool requests, generating a carpool matching probability of the carpool request by a second machine learning model based on the first expected trip count; constructing one or more Key Performance Indicator (KPI) models based on the plurality of carpool matching probabilities and the pair of price adjustment multipliers; and determining optimal values of the pair of price adjustment multipliers based on an optimization model maximizing an aggregated value of the one or more KPI models.

The disclosure relates to a method for evaluating a driving behavior, wherein detected driving data of at least one human driver, or detected driving data of at least one automated driving vehicle are obtained, wherein a key performance indicator is determined based on the obtained driving data, wherein both a travel time as well as an energy efficiency and/or emissions efficiency are taken into account in determining the key performance indicator, wherein the determined key performance indicator is provided as an evaluation result.

One example method includes assessing an environment using a data confidence fabric. Data from sources associated with an environment such as a remote working environment is ingested into the data confidence fabric and associated with confidence scores. The environments can be assessed or monitored to ensure that the conditions of the environment comply with a standard.

A method for a well intervention program is provided. The method includes selecting, from a number of well intervention mandates generated by a number of originators in an oil and gas industry hierarchy, mid-level mandates based on respectively originator rankings, wherein each of the number of well intervention mandates relates to a well intervention activity of the well intervention program, generating, based on respective pre-defined cycle times of the mid-level mandates, a most frequent timeframe, performing, based on a pre-determined audit criterion and over the most frequent timeframe, an audit of the well intervention program to generate an audit result, and presenting the audit result to the number of originators.

Data associated a plurality of user interface elements may be retrieved from at least one database associated with a service business, such as a casino. At a first time, a first indication to turn on a first subset of the plurality of user interface elements may be received. The user interface elements may include content management, task management, property management, action management, player profiling, comp management, player development, asset tagging and flagging, profitability and comparative analysis, etc. Each of the first subset of user interface elements may be populated with the respective data associated that user interface element.

A processor may identify a first task of a set of tasks. The processor may identify features of the first task. The processor may generate a reputation assessment for a first user related to the features of the first task. The processor may match the first user to the first task based on the reputation assessment.