Abstract: Embodiments of a washing pod of the present invention generally include a modular assembly of transportable enclosure components and a washing system compatible therewith. The assembly may be installed on any substantially level location that (1) does not need to be excavated or otherwise prepared and (2) does not need to have a connection to a local sewer system. In one embodiment, the washing system includes a wash collection tray, a touchless wash system, one or more recycled water vessels, one or more pumps, and an above-ground water treatment and filtration system. In one aspect, the assembly can typically be installed in a matter of weeks and can be readily disassembled and relocated to another desired location. Embodiments of a method of using embodiments of a washing pod of the present invention are also provided.

Abstract: Methods, apparatus, and processor-readable storage media for automatically detecting data anomalies using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining data pertaining to multiple tasks associated with at least one enterprise; detecting one or more data anomalies by predicting one or more values within the obtained data by processing at least a portion of the obtained data using one or more artificial intelligence techniques, and comparing the one or more predicted values to one or more corresponding portions of the obtained data; generating one or more data recommendations associated with at least a portion of the one or more detected data anomalies; and performing one or more automated actions based at least in part on at least one of the one or more detected data anomalies and the one or more generated data recommendations.

Abstract: Methods, apparatus, and processor-readable storage media for automatically detecting data anomalies using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining data pertaining to multiple tasks associated with at least one enterprise; detecting one or more data anomalies by predicting one or more values within the obtained data by processing at least a portion of the obtained data using one or more artificial intelligence techniques, and comparing the one or more predicted values to one or more corresponding portions of the obtained data; generating one or more data recommendations associated with at least a portion of the one or more detected data anomalies; and performing one or more automated actions based at least in part on at least one of the one or more detected data anomalies and the one or more generated data recommendations.