BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Canada/Central
BEGIN:DAYLIGHT
DTSTART:20200308T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:CDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20201101T010000
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:CST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20201002T151857Z
UID:7C60D38B-8B36-47F3-A96A-0F114F54C2BF
DTSTART;TZID=Canada/Central:20201001T140000
DTEND;TZID=Canada/Central:20201001T150000
DESCRIPTION:Nowadays\, the word ‘data’ is commonly used one. A common d
 efinition\, “data is the oil\, of the 21st century- the raw material tha
 t our economies\, societies and democracies are increasingly being built o
 n”. It is mind blowing the number and size of the data getting created e
 very day. The latest advances in technology mainly smartphones and IoT con
 nected devices are the main contributors in the data creation. We started 
 by defining data as the raw material. In fact\, it is. Data as it gets gen
 erated and stored doesn’t provide much value as transforming and analyzi
 ng these data. Machine learning is a branch of artificial intelligence tha
 t uses statistics to build algorithms/model from these massive amounts of 
 data. You can look at it as data is the input\, machine learning is the en
 gine\, and the insightful values that drive important decisions is the out
 put of this process. Every industry is utilizing data to build their decis
 ions\, strategies\, production plans\, …etc. In this talk\, we will go o
 ver how Oshkosh Corp as being the world leading manufacturer of specialty 
 vehicles started the journey of connecting its vehicles and how the real-t
 ime and analyzed data through machine learning helping our customer to bet
 ter manage their fleet\, utilization\, and vehicles maintenance.\n\nSpeake
 r(s): Dr. Moe Saleh\, \n\nVirtual: https://events.vtools.ieee.org/m/240715
LOCATION:Virtual: https://events.vtools.ieee.org/m/240715
ORGANIZER:mantachs@myumanitoba.ca
SEQUENCE:13
SUMMARY:IoT data and machine learning in the automotive industry
URL;VALUE=URI:https://events.vtools.ieee.org/m/240715
X-ALT-DESC:Description: <br /><p>Nowadays\, the word &lsquo\;data&rsquo\; i
 s commonly used one. A common definition\, &ldquo\;data is the oil\, of th
 e&nbsp\;21st century- the raw material that our economies\, societies and 
 democracies are increasingly being built on&rdquo\;. It is mind blowing th
 e number and size of the data getting created every day. The latest advanc
 es in technology mainly smartphones and IoT connected devices are the main
  contributors in the data creation. We started by defining data as the raw
  material. In fact\, it is. Data as it gets generated and stored doesn&rsq
 uo\;t provide much value as transforming and analyzing these data. Machine
  learning is a branch of artificial intelligence that uses statistics to b
 uild algorithms/model from these massive amounts of data. You can look at 
 it as data is the input\, machine learning is the engine\, and the insight
 ful values that drive important decisions is the output of this process. E
 very industry is utilizing data to build their decisions\, strategies\, pr
 oduction plans\, &hellip\;etc. In this talk\, we will go over how Oshkosh 
 Corp as being the world leading manufacturer of specialty vehicles started
  the journey of connecting its vehicles and how the real-time and analyzed
  data through machine learning helping our customer to better manage their
  fleet\, utilization\, and vehicles maintenance.</p>
END:VEVENT
END:VCALENDAR