Combining forces with Nebbiolo for edge computing software, Intel is taking analytics to the edge and helping German automaker Audi automate and enhance critical quality-control
Hyundai-Kia Motors Corporation (HKMC) selects Nebbiolo Technologies’ Intelligent Edge Computing Platform for Industrial Digitization and Insights into their Automotive Manufacturing Plants. MILPITAS, CA (PRWEB) APRIL 02,
MILPITAS, CALIF. (PRWEB) FEBRUARY 25, 2020 Nebbiolo Technologies Inc., an Industrial Internet of Things (IIoT) platform provider, optimized for Industrial Automation, Electrical Distribution and Oil and
11/11/2019 Iberdrola along with seven industry partners – Intel, Ariadna Grid, Circutor, Landis+Gyr, Merytronic, Nebbiolo Technologies, ZIV Automation – announce collaboration on the definition and
DEVELOP, INTEGRATE AND MARKET NEBBIOLO FOG INFRASTRUCTURE AS A PILLAR OF THE TOSHIBA SPINEX INDUSTRIAL IOT PORTFOLIO. April 23, 2018 Toshiba Digital Solutions CorporationNebbiolo Technologies
Milpitas (California, USA) November 16, 2018 — Nebbiolo Technologies Inc. (Nebbiolo), a developer of intelligence edge infrastructure for industrial and commercial Internet of Things (IoT)
MILPITAS, Calif., June 26, 2018 /PRNewswire/ — Nebbiolo Technologies Inc., today unveiled a new release of fogOS2.2.0 (that includes fogSM software component), which powers the industry’s leading Fog
MILPITAS, Calif., April 16, 2018 /PRNewswire/ — Fog Computing Hardware and Software Solutions, demonstrating Fog Analytics, Fog Learning, Fog Robotics, and other Fog Applications on display April 23-27 at Hannover-Messe, Hannover,
MILPITAS, Calif., Feb. 28, 2017 /PRNewswire/ — Nebbiolo TechnologiesTM launched on February 9th, 2017, its first product line, embracing fog computing (often referred to as edge computing) as a keystone
Earlier this year TTTech announced a strategic cooperation with Nebbiolo Technologies, a Silicon Valley start-up at the forefront of fog computing. Just a few months
Fog computing is a key enabler for the Industrial Internet/Industry 4.0. and thus an essential building block for the intelligent factory of the future. The