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DESCRIPTION:Large-scale modernization of legacy mainframe systems is not on
 ly a technical challenge\; it is a societal one. Many of the systems being
  transformed today underpin essential services across banking\, trading\, 
 account servicing\, operations\, and other industries that citizens and in
 stitutions rely on every day. When modernization efforts fail during the t
 ransitional period\, while legacy and cloud environments must operate toge
 ther\, the consequences can extend beyond project delays to service disrup
 tion\, financial instability\, reduced public trust\, and increased operat
 ional risk. This article argues that the transition phase should be treate
 d as a critical public-interest concern rather than merely an engineering 
 bridge between old and new platforms. Drawing on evidence from two multiye
 ar modernization programs\, the study presents a framework for using AI-de
 rived code intelligence to make transition planning more transparent\, mea
 surable\, and resilient. Instead of focusing only on target-state efficien
 cy\, the framework prioritizes continuity of service\, reduction of incide
 nts\, protection of sensitive operations\, and safer sequencing of change.
  The paper also proposes a practical evaluation approach for assessing tra
 nsitional health through indicators such as stability\, recovery\, complia
 nce with operational windows\, and containment of risk. By reframing moder
 nization as a socio-technical responsibility\, this work highlights how be
 tter transition design can help organizations protect customers\, strength
 en industry reliability\, and support broader societal confidence in criti
 cal digital infrastructure. His work on https://solutionshub.epam.com/blog
 /post/cobol-code is also available.\n\nSpeaker(s): Ankur Kalohia\n\nAgenda
 : \nPresentation:\n45 minutes - 5.30 pm onwards (eastern time zone)\nQ&amp;A:\
 n15 minutes - 6:15 pm to 6:30pm (eastern time zone)\n\nVirtual: https://ev
 ents.vtools.ieee.org/m/555810
LOCATION:Virtual: https://events.vtools.ieee.org/m/555810
ORGANIZER:durga_krish@ieee.org
SEQUENCE:15
SUMMARY:Mainframe Modernization using GenAI
URL;VALUE=URI:https://events.vtools.ieee.org/m/555810
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Large-scale modernization of legacy mainfr
 ame systems is not only a technical challenge\; it is a societal one. Many
  of the systems being transformed today underpin essential services across
  banking\, trading\, account servicing\, operations\, and other industries
  that citizens and institutions rely on every day. When modernization effo
 rts fail during the transitional period\, while legacy and cloud environme
 nts must operate together\, the consequences can extend beyond project del
 ays to service disruption\, financial instability\, reduced public trust\,
  and increased operational risk. This article argues that the transition p
 hase should be treated as a critical public-interest concern rather than m
 erely an engineering bridge between old and new platforms. Drawing on evid
 ence from two multiyear modernization programs\, the study presents a fram
 ework for using AI-derived code intelligence to make transition planning m
 ore transparent\, measurable\, and resilient. Instead of focusing only on 
 target-state efficiency\, the framework prioritizes continuity of service\
 , reduction of incidents\, protection of sensitive operations\, and safer 
 sequencing of change. The paper also proposes a practical evaluation appro
 ach for assessing transitional health through indicators such as stability
 \, recovery\, compliance with operational windows\, and containment of ris
 k. By reframing modernization as a socio-technical responsibility\, this w
 ork highlights how better transition design can help organizations protect
  customers\, strengthen industry reliability\, and support broader societa
 l confidence in critical digital infrastructure. &lt;span style=&quot;font-size: 1
 0.5pt\; line-height: 107%\; font-family: &#39;Verdana&#39;\,&#39;sans-serif&#39;\; mso-far
 east-font-family: Calibri\; mso-fareast-theme-font: minor-latin\; mso-bidi
 -font-family: &#39;Times New Roman&#39;\; mso-bidi-theme-font: minor-bidi\; color:
  #616161\; background: white\; mso-ansi-language: EN-IN\; mso-fareast-lang
 uage: EN-US\; mso-bidi-language: AR-SA\;&quot;&gt;&lt;span style=&quot;color: rgb(0\, 0\, 
 0)\;&quot;&gt;His work on&lt;/span&gt;&amp;nbsp\;&lt;a href=&quot;https://solutionshub.epam.com/blog
 /post/cobol-code&quot; target=&quot;_blank&quot; rel=&quot;noopener&quot;&gt;https://solutionshub.epam
 .com/blog/post/cobol-code&lt;/a&gt; &lt;span style=&quot;color: rgb(0\, 0\, 0)\;&quot;&gt;is als
 o available.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;Presentation: &lt;
 br&gt;45 minutes - 5.30 pm onwards (eastern time zone)&amp;nbsp\;&lt;br&gt;Q&amp;amp\;A:&lt;br
 &gt;15 minutes - 6:15 pm to 6:30pm (eastern time zone)&amp;nbsp\;&lt;/p&gt;
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