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DTSTAMP:20261030T212523Z
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DESCRIPTION:Getting useful results from AI requires engineering judgment ab
 out the task\, the available context\, and how much responsibility to give
  the tool. Drawing on my experience in enterprise architecture\, platform 
 modernization\, and organizational AI enablement\, I’ll discuss how to m
 ove from everyday AI assistance toward more structured and agentic enginee
 ring workflows. We’ll explore how code\, documentation\, architecture\, 
 and system relationships shape the results\, using examples from developme
 nt\, quality engineering\, and interim technical incident analysis. The se
 ssion will also examine how engineers at different experience levels can u
 se AI effectively while continuing to develop their own understanding and 
 judgment. Throughout\, we’ll keep the discussion grounded in practical v
 alue\, quality\, cost\, and human accountability.\n\nWe’d love to hear a
 bout your interests and experience! Please take a moment to complete this 
 brief survey so we can tailor the session to you: https://forms.gle/naUVrn
 bkajBRebbA9\n\nSpeaker(s): Anoop Sharma\n\nVirtual: https://events.vtools.
 ieee.org/m/590106
LOCATION:Virtual: https://events.vtools.ieee.org/m/590106
ORGANIZER:mul224@lehigh.edu
SEQUENCE:62
SUMMARY:From AI Hype to Practical Engineering
URL;VALUE=URI:https://events.vtools.ieee.org/m/590106
X-ALT-DESC:Description: <br /><div>Getting useful results from AI requires 
 engineering judgment about the task\, the available context\, and how much
  responsibility to give the tool. Drawing on my experience in enterprise a
 rchitecture\, platform modernization\, and organizational AI enablement\, 
 I&rsquo\;ll discuss how to move from everyday AI assistance toward more st
 ructured and agentic engineering workflows. We&rsquo\;ll explore how code\
 , documentation\, architecture\, and system relationships shape the result
 s\, using examples from development\, quality engineering\, and interim te
 chnical incident analysis. The session will also examine how engineers at 
 different experience levels can use AI effectively while continuing to dev
 elop their own understanding and judgment. Throughout\, we&rsquo\;ll keep 
 the discussion grounded in practical value\, quality\, cost\, and human ac
 countability.</div>\n<div>&nbsp\;</div>\n<div>We&rsquo\;d love to hear abo
 ut your interests and experience! Please take a moment to complete this br
 ief survey so we can tailor the session to you: <a href="https://forms.gle
 /naUVrnbkajBRebbA9">https://forms.gle/naUVrnbkajBRebbA9</a></div>
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