Abstract: A method for driving zero time-to-insight and effectiveness of insight-to-nudge in a decision-making process. The method includes identifying a scope associated with a data-to-action loop in the decision-making process. The method further includes determining, by a zero time-to-insight engine, a zero time-to-insight quotient for a data-to-insight loop included in the data-to-action loop. The method additionally includes determining, by an insight-to-nudge engine, an insight-to-nudge quotient for an insight-to-action loop included in the data-to-action loop. The method additionally includes determining, by a predictive model factor component, a data-to-action prediction model factor (D2A PMF) for the data-to-action loop, where the D2A PMF quantifies an incremental zero time-to-insight potential for the data-to-action loop and corresponding attributes.

Abstract: A method for assessing user experience includes determining one or more experience journey maps, identifying personas included in the one or more experience journey maps, and collecting user experience related data from the personas included in the one or more experience journey maps. The method further includes identifying user experience gaps based on an analysis performed on the experience related data collected, and providing a graphical representation that highlights the user experience gaps. The method also includes generating recommendations for execution to mitigate the user experience gaps highlighted in the graphical representation, monitoring and tracking a progress of the executed recommendations, and performing automated monitoring and offset metric tracking of targeted experience-related input metrics used to gauge a performance of the executed recommendations.

Abstract: A method for transforming a periodic event into a continuous one includes receiving data related to a periodic event for an organization where the data include activities corresponding to processes to be completed in the periodic event, generating a graph representing a calendar that includes one or more process, sub-process or task nodes, and inputting the graph and the data associated with the graph into a multi-layer neural network, to cause the multi-layer neural network to generate one or more simulated events. In a specific application, the simulated events include simulated close scenarios that drive a financial close towards a continuous close, where a simulated event includes various dimensions and attributes, where each driver/attribute choice or combination of choices has its own multitude of impacts, interdepend critical path and change management. The multi-layer neural network helps with modeling different simulations to arrive at an optimal basket of choices suited for a defined scenario.

Abstract: A method and system are provided to infer and use machine learning algorithms that is applied to financial data and also to determine: (i) compliance with the applied algorithms, and (ii) whether any exceptions to and/or variations from the algorithms are within an organization's norms. A method includes: receiving financial data; applying a set of dynamic or interdependent algorithms to the received financial data to obtain a set of outcomes; and using a machine learning classifier to classify the outcomes as: (i) algorithm compliant, (ii) potentially algorithm non-compliant, or (iii) algorithm non-compliant. Additionally, the method includes generating controllership persona based actionable triggers, which on acceptance corrects the anomalies in financial data, enabling the method and system to perform as a comprehensive, contextual, consistent & machine learning powered, persona based real time controllership engine leading to reduced misstatements in reported financial data.

Abstract: Zero-touch monitoring devices and systems are disclosed that are configured with hardware to perform a process-mining on an event-to-entry process associated with an organization to collect data information associated with the process, determine an input-related zero-touch quotient for the event-to-entry process based on the data information, determine a rule-related zero-touch quotient for the event-to-entry process based on the data information, determine a zero-touch potential predictive accounting factor (ZTP PAF) value for the event-to-entry process, and generate a zero-touch processing quotient for the event-to-entry process based on the input-related zero-touch quotient, the rule-related zero-touch quotient, and the ZTP PAF value. The ZTP PAF value quantifies an incremental zero-touch potential for the event-to-entry process and corresponding attributes.

Abstract: A method for driving zero time-to-insight and effectiveness of insight-to-nudge in a decision-making process. The method includes identifying a scope associated with a data-to-action loop in the decision-making process. The method further includes determining, by a zero time-to-insight engine, a zero time-to-insight quotient for a data-to-insight loop included in the data-to-action loop. The method additionally includes determining, by an insight-to-nudge engine, an insight-to-nudge quotient for an insight-to-action loop included in the data-to-action loop. The method additionally includes determining, by a predictive model factor component, a data-to-action prediction model factor (D2A PMF) for the data-to-action loop, where the D2A PMF quantifies an incremental zero time-to-insight potential for the data-to-action loop and corresponding attributes.

Abstract: A method for assessing user experience includes determining one or more experience journey maps, identifying personas included in the one or more experience journey maps, and collecting user experience related data from the personas included in the one or more experience journey maps. The method further includes identifying user experience gaps based on an analysis performed on the experience related data collected, and providing a graphical representation that highlights the user experience gaps. The method also includes generating recommendations for execution to mitigate the user experience gaps highlighted in the graphical representation, monitoring and tracking a progress of the executed recommendations, and performing automated monitoring and offset metric tracking of targeted experience-related input metrics used to gauge a performance of the executed recommendations.

Abstract: A method for assessing user experience includes determining one or more experience journey maps, identifying personas included in the one or more experience journey maps, and collecting user experience related data from the personas included in the one or more experience journey maps. The method further includes identifying user experience gaps based on an analysis performed on the experience related data collected, and providing a graphical representation that highlights the user experience gaps. The method also includes generating recommendations for execution to mitigate the user experience gaps highlighted in the graphical representation, monitoring and tracking a progress of the executed recommendations, and performing automated monitoring and offset metric tracking of targeted experience-related input metrics used to gauge a performance of the executed recommendations.

Abstract: A method and system are provided to infer and use machine learning algorithms that is applied to financial data and also to determine: (i) compliance with the applied algorithms, and (ii) whether any exceptions to and/or variations from the algorithms are within an organization's norms. A method includes: receiving financial data; applying a set of dynamic or interdependent algorithms to the received financial data to obtain a set of outcomes; and using a machine learning classifier to classify the outcomes as: (i) algorithm compliant, (ii) potentially algorithm non-compliant, or (iii) algorithm non-compliant. Additionally, the method includes generating controllership persona based actionable triggers, which on acceptance corrects the anomalies in financial data, enabling the method and system to perform as a comprehensive, contextual, consistent & machine learning powered, persona based real time controllership engine leading to reduced misstatements in reported financial data.

Abstract: A method for assessing user experience includes determining one or more experience journey maps, identifying personas included in the one or more experience journey maps, and collecting user experience related data from the personas included in the one or more experience journey maps. The method further includes identifying user experience gaps based on an analysis performed on the experience related data collected, and providing a graphical representation that highlights the user experience gaps. The method also includes generating recommendations for execution to mitigate the user experience gaps highlighted in the graphical representation, monitoring and tracking a progress of the executed recommendations, and performing automated monitoring and offset metric tracking of targeted experience-related input metrics used to gauge a performance of the executed recommendations.

Abstract: Embodiments disclosed herein include electronic packages with stiffeners. In an embodiment, a stiffener for an electronic package comprises a first layer, that is conductive, and a second layer over the first layer, where the second layer is insulative. In an embodiment, the stiffener further comprises a third layer over the second layer, where the third layer is conductive. In an embodiment, the stiffener further comprises a leg attached to the third layer, where the leg extends towards the first layer and is substantially coplanar with a surface of the first layer opposite from the second layer.

Abstract: The present disclosure relates to determining automation potential of a process by dividing the process into subsidiary processes corresponding to five hierarchical tiers, assessing the subsidiary processes by selecting a value for each of one or more parameters for each of the subsidiary processes at the tier five, computing a score for the subsidiary processes at the tier five based on the selected values, identifying a category of automation for the subsidiary processes in the tier five based on the score for the subsidiary processes at the tier five; determining an automation potential indicator for the subsidiary processes in the tier five based on the category of automation and the score; computing a maximum automation potential indicator and an automation potential indicator at each hierarchical tier based on a maximum automation potential indicator and an automation potential indicator at immediately lower tier to compute the automation potential for the process.

Abstract: A method and apparatus for assessing the health of a process is provided where the health of a client's process is assessed across a plurality of dimensions based on computing a process health index. The process health index is computed by determining a sub-process health index across a plurality of dimensions for the sub-processes comprising the process. The sub-process health index across different dimensions is determined based, at least in part, on responses to a set of evaluators and the dimensional weight value assigned to each of the dimensions. The response to each evaluator is an option selected from a plurality of weighted options. The sub-process health index is then stored. A process health index is calculated based on the sub-process health index for each sub-process across a plurality of dimensions and the sub-process weight value assigned to each of the sub-processes. The process health index is stored and used to assess the health of a client's process.

Abstract: Techniques and mechanisms for mitigating an overshoot of a supply voltage provided with a voltage regulator (VR). In an embodiment, buck converter functionality of a VR is provided with first circuitry comprising a first inductor and first switch circuits variously coupled thereto. Second circuitry of the VR comprises a second inductor and second switch circuits variously coupled thereto. In response to an indication of a voltage overshoot condition, respective states of the first switch circuits and the second switch circuits are configured to enable a conductive path for dissipating energy with the first inductor, the second inductor, and various ones of the first switch circuits and the second switch circuits. In another embodiment, mitigating the voltage overshoot condition comprises alternately toggling between two different configurations of the second switch circuits.

Abstract: Techniques and mechanisms for mitigating an overshoot of a supply voltage provided with a voltage regulator (VR). In an embodiment, buck converter functionality of a VR is provided with first circuitry comprising a first inductor and first switch circuits variously coupled thereto. Second circuitry of the VR comprises a second inductor and second switch circuits variously coupled thereto. In response to an indication of a voltage overshoot condition, respective states of the first switch circuits and the second switch circuits are configured to enable a conductive path for dissipating energy with the first inductor, the second inductor, and various ones of the first switch circuits and the second switch circuits. In another embodiment, mitigating the voltage overshoot condition comprises alternately toggling between two different configurations of the second switch circuits.

Abstract: The present disclosure relates to determining automation potential of a process by dividing the process into subsidiary processes corresponding to five hierarchical tiers, assessing the subsidiary processes by selecting a value for each of one or more parameters for each of the subsidiary processes at the tier five, computing a score for the subsidiary processes at the tier five based on the selected values, identifying a category of automation for the subsidiary processes in the tier five based on the score for the subsidiary processes at the tier five; determining an automation potential indicator for the subsidiary processes in the tier five based on the category of automation and the score; computing a maximum automation potential indicator and an automation potential indicator at each hierarchical tier based on a maximum automation potential indicator and an automation potential indicator at immediately lower tier to compute the automation potential for the process.

Abstract: A method and apparatus for assessing the health of a process is provided where the health of a client's process is assessed across a plurality of dimensions based on computing a process health index. The process health index is computed by determining a sub-process health index across a plurality of dimensions for the sub-processes comprising the process. The sub-process health index across different dimensions is determined based, at least in part, on responses to a set of evaluators and the dimensional weight value assigned to each of the dimensions. The response to each evaluator is an option selected from a plurality of weighted options. The sub-process health index is then stored. A process health index is calculated based on the sub-process health index for each sub-process across a plurality of dimensions and the sub-process weight value assigned to each of the sub-processes. The process health index is stored and used to assess the health of a client's process.

Abstract: A method and system for managing complex projects uses a framework having workflow maps containing activity blocks that provide detailed, easily accessible information within the framework about the project. The framework links functional groups, their associated activities, and the dependences between activities. The detailed, prescriptive instructions provided at each stage in the process creates in-process quality control, reducing the likelihood of costly mistakes and turnbacks. Implementing the framework as a web-based application allows easy access to the framework as well as data entered into the framework for future analysis, making it easy to identify improvement opportunities in the framework.