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BEGIN:VEVENT
DTSTAMP:20260419T050229Z
DTSTART;TZID=America/New_York:20240514T110000
DTEND;TZID=America/New_York:20240514T120000
SUMMARY:How Do I Streamline AI Project Workflows?
LAST-MODIFIED:20260419T050229Z
LOCATION:
TZID:America/New_York
UID:message-593
DESCRIPTION:Click the link below to go to the event page:\nhttps://communit
 ies.sas.com/t5/Upcoming-Events/How-Do-I-Streamline-AI-Project-Workflows/ec
 -p/923827#M593\n\nJoin this webinar with SAS and Microsoft to learn about 
 the flexibility\, efficiency and scalability of combining SAS Event Stream
  Processing with ONNX Runtime and Microsoft Azure\, addressing common chal
 lenges in AI model deployment and execution.   You will learn to:  Streaml
 ine AI project workflows by integrating SAS Event Stream Processing with O
 NNX Runtime and Microsoft Azure. Integrate ONNX Runtime with SAS Event Str
 eam Processing to create real-time streaming analytics with simplified tes
 ting and deployment on a variety of hardware alignments. Jump-start projec
 ts with sample projects and code examples on GitHub to deploy ONNX models 
 efficiently and effectively. Register Now  \nFeatured Guests: DanieleCazza
 ri\, aaronwhite
X-ALT-DESC;FMTTYPE=text/html:<P>Click the link below to go to the event pag
 e:</P><BR><A href="https://communities.sas.com/t5/Upcoming-Events/How-Do-I
 -Streamline-AI-Project-Workflows/ec-p/923827#M593">https://communities.sas
 .com/t5/Upcoming-Events/How-Do-I-Streamline-AI-Project-Workflows/ec-p/9238
 27#M593</A><BR><BR><P>Join this webinar with SAS and Microsoft to learn ab
 out the flexibility\, efficiency and scalability of combining SAS Event St
 ream Processing with ONNX Runtime and Microsoft Azure\, addressing common 
 challenges in AI model deployment and execution.</P>\n<P>&nbsp\;</P>\n<P>Y
 ou will learn to:</P>\n<UL>\n<LI>Streamline AI project workflows by integr
 ating SAS Event Stream Processing with ONNX Runtime and Microsoft Azure.</
 LI>\n<LI>Integrate ONNX Runtime with SAS Event Stream Processing to create
  real-time streaming analytics with simplified testing and deployment on a
  variety of hardware alignments.</LI>\n<LI>Jump-start projects with sample
  projects and code examples on GitHub to deploy ONNX models efficiently an
 d effectively.</LI>\n</UL>\n<P><A href="https://www.sas.com/gms/redirect.j
 sp?detail=PLN26317_1280807440" target="_blank" rel="nofollow noopener nore
 ferrer"><SPAN class="cta-button-article">Register Now</SPAN></A></P>\n<P>&
 nbsp\;</P><BR><P>Featured Guests: DanieleCazzari\, aaronwhite</P>
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