Successfactors, Inc.

Anthony Ashton

Dominic Philip Haine

Dmitri Krakovsky

Laesa Bolwell

Thor Axel Ahlberg

Michael Strezo

Michel Angelo Capraro

Lyndal Hagar

Maria Clarisse Gatchalian

Anastasia Ellerby

Lisa Meehan

A charging system for generating power for an electrical vehicle in motion is provided. The charging system embodies a parallel arrangement of alternators equipped with electromagnetic clutch drives disposed between a starter power source/drive assembly and electric storage device of the electrical vehicle. A charge controller controls the downstream balanced charge to the electric storage device through de-activating or activating the alternators' electromagnetic clutch drives to operate at a set RPM range. The systemic and selective control of the electromagnetic clutches addresses resistance of the alternators at higher RPMs.

System providing additional power to extend ranges of electric vehicles

Some embodiments provide a non-transitory computer-readable medium that stores a program executable by at least one processing unit of a first device. The program receives from a second device a selection of a set of measures associated with data. The program also receives from the second device a selection of a set of dimensions associated with data. The program further receives from the second device a selection of a type of analysis. Based on the set of measures, the set of dimensions, and the type of analysis, the program also determines a type of visualization of the set of measures and the set of dimensions.

Tools for auto-visualizations of data

Enterprise data sources can be monitored to detect metric conditions via rules, and alerts can be generated. The alerts can be presented as natural language descriptions of metric conditions. From an alert, the reader can navigate to a story page that presents additional detail and allows further navigation within the data. Additional detail presented can include a drill down synopsis, strategies for overcoming a negative condition, links to discussions within the organization about the condition, options for sharing or collaborating about the condition, or the like.

Natural language metric condition alerts

Enterprise data sources can be monitored to detect metric conditions via rules, and alerts can be generated. The alerts can be presented as natural language descriptions of business metric conditions. From an alert, the reader can navigate to a story page that presents additional detail and allows further navigation within the data. Additional detail presented can include a drill down synopsis, strategies for overcoming a negative condition, links to discussions within the organization about the condition, options for sharing or collaborating about the condition, or the like.

Natural language metric condition alerts generation

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San Mateo, CA, United States of America

Anthony Ashton