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DTSTAMP:20240426T064259Z
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DTSTART;TZID=America/Denver:20240423T183000
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DESCRIPTION:In today&#39;s rapidly changing global landscape\, engineering mana
 gers are faced with unprecedented challenges in managing supply chains eff
 iciently and effectively. The ongoing crisis has further exacerbated these
  complexities\, putting immense pressure on manufacturing processes\, inve
 ntory management\, and customer service.\n\nHowever\, there is a solution 
 that can revolutionize supply chain management and provide engineering lea
 ders with the tools they need to navigate through the chaos. Cloud-based E
 nterprise Resource Planning (ERP) systems\, like Oracle\, leverage the pow
 er of Artificial Intelligence and Machine Learning to generate accurate fo
 recasts\, optimize inventory levels\, and streamline operations.\n\nJoin u
 s as we delve deeper into how modern ERP systems are transforming traditio
 nal supply chain practices and helping engineering managers overcome the h
 urdles of the current market environment. Discover how AI-powered capabili
 ties are driving profitability\, efficiency\, and competitiveness in today
 &#39;s ever-evolving landscape\, ensuring that your organization stays ahead o
 f the curve.\n\nDon&#39;t miss out on this opportunity to revolutionize your s
 upply chain operations and drive success in the face of adversity. Join us
  in exploring the innovative solutions provided by cloud-based ERP systems
  and take the first step towards transforming your supply chain management
  for the better.\n\n[]\n\nSpeaker(s): Dileep Kumar Rai\, Dileep\n\nAgenda:
  \n6:30 pm - 6:35 pm: Introduction\n\n6:35 pm - 7:35 pm: Presentation\n\n7
 :35 pm - 8:00 pm: Questions\n\nVirtual: https://events.vtools.ieee.org/m/4
 13711
LOCATION:Virtual: https://events.vtools.ieee.org/m/413711
ORGANIZER:john@e-liteworks.com
SEQUENCE:52
SUMMARY:Revolutionizing Supply Chain Management: Harnessing the Power of AI
  and Machine Learning in Cloud-based ERP Systems for Technical Leaders
URL;VALUE=URI:https://events.vtools.ieee.org/m/413711
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;MsoNormal&quot;&gt;In today&#39;s rapidly chang
 ing global landscape\, engineering managers are faced with unprecedented c
 hallenges in managing supply chains efficiently and effectively. The ongoi
 ng crisis has further exacerbated these complexities\, putting immense pre
 ssure on manufacturing processes\, inventory management\, and customer ser
 vice.&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;However\, there is a solution that can rev
 olutionize supply chain management and provide engineering leaders with th
 e tools they need to navigate through the chaos. Cloud-based Enterprise Re
 source Planning (ERP) systems\, like Oracle\, leverage the power of Artifi
 cial Intelligence and Machine Learning to generate accurate forecasts\, op
 timize inventory levels\, and streamline operations.&lt;/p&gt;\n&lt;p class=&quot;MsoNor
 mal&quot;&gt;Join us as we delve deeper into how modern ERP systems are transformi
 ng traditional supply chain practices and helping engineering managers ove
 rcome the hurdles of the current market environment. Discover how AI-power
 ed capabilities are driving profitability\, efficiency\, and competitivene
 ss in today&#39;s ever-evolving landscape\, ensuring that your organization st
 ays ahead of the curve.&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;Don&#39;t miss out on this o
 pportunity to revolutionize your supply chain operations and drive success
  in the face of adversity. Join us in exploring the innovative solutions p
 rovided by cloud-based ERP systems and take the first step towards transfo
 rming your supply chain management for the better.&lt;/p&gt;\n&lt;p class=&quot;MsoNorma
 l&quot;&gt;&lt;img style=&quot;display: block\; margin-left: auto\; margin-right: auto\;&quot; 
 src=&quot;https://events.vtools.ieee.org/vtools_ui/media/display/2c1ec860-f794-
 49f0-9069-00ae8df9cd5e&quot; alt=&quot;&quot; width=&quot;748&quot; height=&quot;421&quot;&gt;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Ag
 enda: &lt;br /&gt;&lt;p&gt;6:30 pm - 6:35 pm: Introduction&lt;/p&gt;\n&lt;p&gt;6:35 pm - 7:35 pm:&amp;
 nbsp\; Presentation&lt;/p&gt;\n&lt;p&gt;7:35 pm - 8:00 pm: Questions&lt;/p&gt;
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