|By PR Newswire||
|August 5, 2014 05:35 PM EDT||
CARLSBAD, Calif., Aug. 5, 2014 /PRNewswire/ -- ViaSat Inc. (Nasdaq:VSAT) will host a conference call on Tuesday, August 12, 2014 at 5:00 p.m. Eastern Time to discuss the first quarter results for fiscal year 2015. The dial-in number is (877) 640-9809 in the U.S. and (914) 495-8528 internationally. Listeners can also access the conference call webcast and other material financial information discussed on the conference call on the Investor Relations section of the ViaSat website at investors.viasat.com. The call will be archived and available on that site for approximately one month immediately following the conference call.
A replay of the conference call will be available from 8:00 p.m. Eastern Time on Tuesday, August 12 until midnight Wednesday, August 13 by dialing (855) 859-2056 for U.S. callers and (404) 537-3406 for international callers, and entering the conference ID 85053782.
About ViaSat (www.viasat.com)
ViaSat creates satellite and other wireless networking systems that efficiently deliver the most bandwidth for fast, secure, and high-performance communications to any location for consumers, governments, enterprises, and the military. The company offers Exede services in North America, which feature ViaSat-1, the world's highest capacity satellite; worldwide mobile satellite services, including global tracking and messaging as well as high-speed in-flight Internet; satellite broadband networking systems; Wi-Fi and other hotspot operations, support, and management systems; and network-centric military communication systems and cybersecurity for the U.S. and allied governments. ViaSat also offers communication system design and a number of complementary products and technologies. Based in Carlsbad, California, ViaSat employs over 3,300 people in a number of locations worldwide for technology development, customer service, and network operations.
Exede and Yonder are registered trademarks of ViaSat Inc.
SOURCE ViaSat Inc.
Sep. 27, 2016 10:45 PM EDT Reads: 2,839
Sep. 27, 2016 10:45 PM EDT Reads: 3,390
Sep. 27, 2016 10:30 PM EDT Reads: 2,175
Sep. 27, 2016 09:30 PM EDT Reads: 2,961
Sep. 27, 2016 09:30 PM EDT Reads: 480
Sep. 27, 2016 08:30 PM EDT Reads: 2,041
Sep. 27, 2016 08:15 PM EDT Reads: 2,233
Sep. 27, 2016 07:00 PM EDT Reads: 2,863
Sep. 27, 2016 06:45 PM EDT Reads: 1,820
Sep. 27, 2016 06:30 PM EDT Reads: 3,569
Sep. 27, 2016 06:30 PM EDT Reads: 2,210
Sep. 27, 2016 06:15 PM EDT Reads: 416
Sep. 27, 2016 06:00 PM EDT Reads: 1,702
Sep. 27, 2016 05:45 PM EDT Reads: 1,666
So, you bought into the current machine learning craze and went on to collect millions/billions of records from this promising new data source. Now, what do you do with them? Too often, the abundance of data quickly turns into an abundance of problems. How do you extract that "magic essence" from your data without falling into the common pitfalls? In her session at @ThingsExpo, Natalia Ponomareva, Software Engineer at Google, provided tips on how to be successful in large scale machine learning...
Sep. 27, 2016 05:30 PM EDT Reads: 2,037