BEGIN:VCALENDAR PRODID:-//Microsoft Corporation//Outlook 16.0 MIMEDIR//EN VERSION:2.0 METHOD:PUBLISH X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VTIMEZONE TZID:Pacific Standard Time BEGIN:STANDARD DTSTART:16011104T020000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010311T020000 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CLASS:PUBLIC CREATED:20201001T154659Z DESCRIPTION:Upcoming Microsoft IoT Deep Dive \nDeep Dive: Live Video Analyt ics on IoT Edge\nDeep Dives are interactive training live events for devel opers\, architects\, or anyone building IoT solutions. Microsoft engineers & guest speakers do technical deep dives about a new feature or scenario. Come to learn more and ask questions in the live Q&A!\nJOIN THE EVENT HER E – December 2nd\, 9AM PDT \nIn this Deep Dive:\nLive Video Analytics enables customers to b uild intelligent video applications that span the edge and the cloud. The Azure LVA platform offers the capability to capture\, record\, and analyze live video using AI and business logic of your choice. It can also be use d in conjunction with other Azure IoT Edge modules such as Stream Analytic s\, Cognitive Services\, as well as cloud services such as Azure Media Ser vices\, Azure Time Series Insights\, etc.\nLive Video Analytics is applica ble to any business that wants to use video data sourced from cameras at t heir business location to automate business processes. In this session\, w e will explore how Azure cloud services can be used to generate video insi ghts at the edge to provide actionable insights. We will walk through the steps to create live video workflows using the Live Video Analytics on IoT Edge module\, including applying AI to a live video stream to trigger rea l-time actions. With LVA on IoT Edge\, you can easily perform actions like these without being a video or AI expert.\nGuest Speaker: \n* Milan Gada\ , Microsoft Principal PM\nDeep Dive Host: Pamela Cortez - Azure IoT \nDeta ils on how to ask questions during the live event\n* Add the Deep Dive inv ite to your calendar or come back to this page when the premiere airs and go to https://aka.ms/live/deepdive/live-video-iot-edge (link will be updat ed to YouTube before the event) for the streaming event to view the video and chat box\n* Make sure to sign in to YouTube to be able to ask question s to our engineers and talk to others on the chat!\n \nHave an idea for an IoT Deep Dive? Tweet #IoTDeepDive @AltaOhms with your request!\n \n \n \n DTEND;TZID="Pacific Standard Time":20201202T100000 DTSTAMP:20201001T154659Z DTSTART;TZID="Pacific Standard Time":20201202T090000 LAST-MODIFIED:20201001T154659Z LOCATION:https://aka.ms/live/deepdive/live-video-iot-edge PRIORITY:5 SEQUENCE:0 SUMMARY;LANGUAGE=en-us:Deep Dive: Live Video Analytics on IoT Edge TRANSP:OPAQUE UID:040000008200E00074C5B7101A82E00800000000300DDF6CCF97D601000000000000000 0100000002ECC07A7A7BB6A4ABB784BB70BDABA41 X-ALT-DESC;FMTTYPE=text/html:

Upcoming Microsoft IoT Deep Dive

Deep Dive: Live Video Analytics on IoT Edge

Deep Dives are interactive training live events for developers\, architects\, or anyone b uilding IoT solutions. Microsoft engineers &\; guest speakers do techni cal deep dives about a new feature or scenario. Come to learn more and ask questions in the live Q&\;A!

In this Deep Dive:

Live Video Analytics enables customers to build intelligent vide o applications that span the edge and the cloud. The Azure LVA platform of fers the capability to capture\, record\, and analyze live video using AI and business logic of your choice. It can also be used in conjunction with other Azure IoT Edge modules such as Stream Analytics\, Cognitive Service s\, as well as cloud services such as Azure Media Services\, Azure Time Se ries Insights\, etc.

Live Video Analytics is applicable to any business tha t wants to use video data sourced from cameras at their business location to automate business processes. In this session\, we will explore how Azur e cloud services can be used to generate video insights at the edge to pro vide actionable insights. We will walk through the steps to create live vi deo workflows using the Live Video Analytics on IoT Edge module\, includin g applying AI to a live video stream to trigger real-time actions. With LV A on IoT Edge\, you can easily perform actions like these without being a video or AI expert.

Guest Speaker:  \;

  • Milan Gada\, Microsoft Principal PM< /span>

Deep Dive Host: \;< span style='font-size:10.0pt\;font-family:"Segoe UI"\,sans-serif\;color:#3 33333'>Pamela Cortez - Azure IoT

Det ails on how to ask questions during the live event

  • Add the Deep Dive invite to your calendar or come back to this page when the premiere airs and go to https://aka.ms/live/deepdive/live-video-iot-edge (li nk will be updated to YouTube before the event) for the streaming event to view the video and chat box
  • Make sure to sign in to YouTube to be able to ask questi ons to our engineers and talk to others on the chat!

 \;

Have an idea for an IoT Deep Dive? Tweet #IoTDeepDive @A ltaOhms with your request!

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