A new event is emerging this month, and it will focus on how Fog Computing will enable IoT, 5G, and AI. The OpenFog Consortium and the IEEE Communications Society have created the Fog World Congress, a multi-day conference and exhibition on fog computing and networking, which will take place October 30 and November 1 at the Santa Clara Marriott, in California.
The conference program will include more than 75 speakers, 55 sessions and an exhibit area for showcasing technologies, applications and research that enables new business models in the Internet of Things (IoT), 5G and embedded artificial intelligence (AI).
“OpenFog and IEEE ComSoc have joined forces to create Fog World Congress for industry and academia to educate and collaborate on fog-related opportunities and challenges, formulate strategy and showcase results, including the need for possible new standards,” said Dr. Doug Zuckerman, IEEE fellow and former IEEE ComSoc president.
Fog computing enables rapid, secure processing of critical data-dense applications, addressing inherent challenges that neither cloud nor edge can resolve alone. Fog distributes computing, storage, control and networking services, enabling real-time data analytics, supporting time-critical local control, connecting and protecting vast and diverse resource-constrained devices, and overcoming network bandwidth and availability constraints.
“Supporting complex, emerging systems and applications, such as the IoT, 5G mobile systems, embedded AI, Big Data and edge analytics requires a new computing and networking model,” said Dr. Tao Zhang, OpenFog co-founder, IEEE fellow and general chair of Fog World Congress. “Without fog computing, the vision we have of a future with autonomous cars, advanced drones and an internet of everything simply can’t happen.”
For more information on the event, and to register, click here.
Event Details
What: Fog World Congress 2017
When: Oct. 30-Nov. 1, 2017
Where: Santa Clara Marriott, 2700 Mission College Blvd. Santa Clara, California
Edited by
Ken Briodagh
