A system, method, and computer-readable medium are disclosed for performing a data center monitoring and management operation. The data center monitoring and management operation includes: identifying a data center infrastructure utilization unit associated with an information technology (IT) environment, the IT environment including a data center asset; analyzing the IT environment based upon the data center infrastructure utilization unit; and, presenting a data center infrastructure utilization quantification based upon the analyzing.

Methods, computer readable media, and devices for quantifying an infrastructure service health as a score and optimizing performance of the infrastructure service based on benchmarks of dynamically identified control groups are disclosed. One method may include determining, for an infrastructure service of an organization, a metric health score for one or more metrics and an overall health score for the organization, creating, for at least one of the metrics, a number of control groups based on a timeframe criteria and including a set of organizations having a metric health score for the timeframe criteria similar to the organization, and maximizing performance of the infrastructure service using machine learning to compare, for at least one metric, performance impacts to the organization based on service changes with the number of control groups for the at least one metric.

A skill-gap analysis and recommender system and method is described that serves as a personalized education and skill (PES) map. It provides a comprehensive presentation of the opportunities afforded by the University along with a detailed analysis of trends for placements and career goals. It conducts a comprehensive analysis of past student data and current market trends to make recommendations that are adapted to each student's profile in line with their individual career goals. This is accomplished using an algorithm for adaptive association pattern mining with a built-in mechanism for creation of meta-categories and drill-down for specifics, so as to meet the needs of every student and not miss infrequent patterns or rare opportunities afforded by the system. For the recommendations generated, the system also provides an assessment of the time-sensitivity of a goal and a mechanism for students to track their progress through prioritizing short and long term goals.

Evaluating an organization's risk to be exposed to cyber security events, by collecting security-based risk indicators about multiple organizations and an indication on whether or not each of the multiple organizations suffered a security event, inputting values of the security-based risk indicators about the multiple organization into a software model, running the software model multiple times, where the software model outputs multiple sets of one or more classifiers, where each set of one or more classifiers distinguishes organizations that suffered the security event from organizations that did not suffer the security event, where the one or more classifiers include classifiers selected from the security-based risk indicators, assigning a risk score for a specific organization according to the importance of classifiers related to the specific organization, and computing an underwriting score for the specific organization.

A processor-implemented method includes receiving, from a mobile device, transmission information corresponding to an audio data transmission associated with an audio data packet loss of one or more audio data packets. The processor determines, based at least in part on the transmission information, a geographic region associated with a wireless communication network transceiver. The processor further determines an average audio data packet loss rate associated with the geographic region and a correlation between the audio data packet loss and at least one key performance indicator (KPI). The KPI is indicative of the audio data transmission. Based at least in part on (i) the average audio data packet loss rate and (ii) the correlation between the audio data packet loss and the at least one KPI, the processor generates a handover instruction comprising at least one threshold value for transitioning control from a first cell channel to a second cell channel.

A device may detect a trigger to perform a benchmarking task. The benchmarking task may include a first benchmarking of a first resource utilization associated with one or more tasks completed via an automated procedure. The benchmarking task may include a second benchmarking of a second resource utilization associated with the one or more tasks completed via a manual procedure. The device may determine project data relating to a project platform based on detecting the trigger to perform the benchmarking task. The device may process the project data relating to the project platform to benchmark the project. The device may generate a recommendation relating to completion of the one or more tasks using the automated procedure or the manual procedure. The device may communicate with one or more other devices to perform a response action based on the recommendation.

Provided in an embodiment of the present disclosure is a method for acquiring data of a data source associated with a production line, including: acquiring a semantic model, the semantic model including semantic relationships between respective semantic units and data source identifiers corresponding to one or more production lines; receiving production line identifiers and acquiring one or more semantic units; converting, based upon the semantic model, the one or more semantic units to data source identifiers corresponding to production lines indicated by the production line identifiers; and acquiring data of data sources indicated by the data source identifiers. Implementing the embodiments disclosed in the present disclosure simplifies a configuration file required for a virtual model of a production line, thereby greatly reducing configuration workload, and enhancing convenience of acquiring data of a data source.

A valve maintenance assistance device includes: a valve ID storing portion configured to store IDs of an ON-OFF valve which may be a candidate for maintenance; an opening acquiring portion configured to acquire opening measurement data from an opening sensor provided on the ON-OFF valve; a pressure acquiring portion configured to acquire pressure measurement data on operating device air supplied to an operating device of the ON-OFF valve; a storing portion configured to store the opening measurement data and the pressure measurement data; and a diagnosis index calculating portion configured to calculate a dead zone time from when an operating device air pressure is changed until an opening degree of the ON-OFF valve is changed as a diagnosis index based on the pressure measurement data and the opening measurement data; and a diagnosis index presenting portion configured to present a numerical value of the diagnosis index calculated by the diagnosis index calculating portion.

The supply chain management apparatus includes: an input unit that receives input information indicating a change in market conditions; a storage unit that stores supply chain information in which constituent companies of a supply chain, T&Cs information in which T&Cs of each of the constituent companies of the supply chain is registered, and a condition for a key performance indicator which should be satisfied, the condition for a key performance indicator being set for each of the constituent companies; a T&Cs calculation unit that, when the input information is received, calculates a supply chain plan corresponding to the change in the market conditions indicated by the input information based on a predetermined calculation method, and when a key performance indicator calculated based on the supply chain plan does not meet the condition for the key performance indicator, changes the T&Cs so that the key performance indicator is optimal.

A system and method are disclosed for segmentation planning wherein a cost-to-serve interval and a value interval are used to generate a strategy for a micro-segment defined along a portion of the cost-to-serve interval and value interval, and similar micro-segments may be assigned to a single persona based on similar cost-to-serve and value tradeoffs.