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DESCRIPTION:Conversational AI for Enterprises: Production Readiness through
  Validation and Guardrails\n\nEven with powerful AI models like OpenAI’s
  GPT and Google’s Gemini\, deploying conversational AI in real enterpris
 es is not simply a “lift-and-shift” process. The success of these syst
 ems depends heavily on the industry\, the data environment\, regulatory re
 quirements\, and how the organization operates. In this talk\, we will exp
 lore why conversational AI cannot be deployed blindly \, especially in sen
 sitive areas like healthcare and why human oversight\, evaluation\, and gu
 ardrails are essential for production readiness. We will discuss practical
  implementation approaches\, compare how conversational AI is used across 
 different industries\, and highlight the key challenges and risks that tea
 ms must address before scaling\n\nVirtual: https://events.vtools.ieee.org/
 m/534880
LOCATION:Virtual: https://events.vtools.ieee.org/m/534880
ORGANIZER:devendraprajput@ieee.org
SEQUENCE:174
SUMMARY:Conversational AI for Enterprises: Production Readiness through Val
 idation and Guardrails
URL;VALUE=URI:https://events.vtools.ieee.org/m/534880
X-ALT-DESC:Description: <br /><p>Conversational AI for Enterprises: Product
 ion Readiness through Validation and Guardrails</p>\n<p>Even with powerful
  AI models like OpenAI&rsquo\;s GPT and Google&rsquo\;s Gemini\, deploying
  conversational AI in real enterprises is not simply a &ldquo\;lift-and-sh
 ift&rdquo\; process. The success of these systems depends heavily on the i
 ndustry\, the data environment\, regulatory requirements\, and how the org
 anization operates. In this talk\, we will explore why conversational AI c
 annot be deployed blindly \, especially in sensitive areas like healthcare
  and why human oversight\, evaluation\, and guardrails are essential for p
 roduction readiness. We will discuss practical implementation approaches\,
  compare how conversational AI is used across different industries\, and h
 ighlight the key challenges and risks that teams must address before scali
 ng&nbsp\;&nbsp\;</p>
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