BEGIN:VCALENDAR PRODID:-//Microsoft Corporation//Outlook 16.0 MIMEDIR//EN VERSION:2.0 METHOD:PUBLISH X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VTIMEZONE TZID:Eastern Standard Time BEGIN:STANDARD DTSTART:16011104T020000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010311T020000 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CLASS:PUBLIC CREATED:20260918T175019Z DESCRIPTION:Description:\nOperating one of the world’s largest methanol p roduction facilities requires reliability teams to manage critical machine ry and instrumentation in a fast-paced\, complex manufacturing environment . With equipment availability directly affecting safe and reliable product ion\, teams need timely insight into emerging risks to make timely\, infor med maintenance decisions. \n \nDuring this webinar\, Proman will share ho w the company is applying Industrial AI to improve visibility into equipme nt degradation\, abnormal operating behavior\, sensor anomalies\, and deve loping failure conditions. Through real-world examples\, attendees will le arn how predictive alerts are reviewed and acted upon within maintenance w orkflows and how structured implementation and operational practices help sustain adoption and drive measurable business outcomes. \n \nRegister for this webinar to learn how Proman: \n* Developed a strong foundation for s uccess through a structured and methodical implementation approach. \n* Ap plied predictive analytics across critical machinery and instrumentation t o identify emerging equipment issues earlier. \n* Incorporated alerts into maintenance workflows to support more informed decisions and help reduce the risk of costly downtime. \n* Established best practices for scaling In dustrial AI across complex production operations while sustaining adoption and long-term business value. \n \nJoin Proman as they discuss the decisi ons\, lessons\, and operational approaches that helped turn predictive ins ights into action\, creating a stronger foundation for reliability across critical production assets. \n \nInstructions:\n1) Soon\, you will receiv e a confirmation email from messenger@webex.com with your login instructions. Please be sure to copy your webinar log in instructions into this Outlook invitation. If you do not receive this c onfirmation email please check your junk email folder. If you still cannot find the email with your webinar login instructions\, then send an email to Jacqueline.bredee@emerson.com \n 2) You will receive webinar reminders from messenger@webex.com prior to the start of this webinar. These reminder ema ils will also contain your webinar login instructions.\n3) To attend the w ebinar\, please login with the name and email address that you used when r egistering for the webinar. \n \n DTEND;TZID="Eastern Standard Time":20261027T110000 DTSTAMP:20260918T175019Z DTSTART;TZID="Eastern Standard Time":20261027T100000 LAST-MODIFIED:20260918T175019Z LOCATION:Webex: Please look for a separate email from Webex PRIORITY:5 SEQUENCE:0 SUMMARY;LANGUAGE=en-us:[Webinar] How Proman Is Scaling Proactive AI Reliabi lity Across Critical Methanol Operations TRANSP:OPAQUE UID:040000008200E00074C5B7101A82E00800000000D06FF19FFD1FDD01000000000000000 0100000007EF65E06EB8D0D45A72B3DCB7CBAFB93 X-ALT-DESC;FMTTYPE=text/html:\n\n

Description:

Operating one of the world’\;s largest methanol production facilities requires reliability teams to mana ge critical machinery and instrumentation in a fast-paced\, complex manufa cturing environment. With equipment availability directly affecting safe a nd reliable production\, teams need timely insight into emerging risks to make timely\, informed maintenance decisions. \;

 \;

During this webinar \, Proman will share how the company is applying Industrial AI to improve visibility into equipment degradation\, abnormal operating behavior\, sensor anomalies\, and developing failure conditions . Through real-world examples\, attendees will learn how predictive alerts are reviewed and acted upon within maintenance workflows and how structur ed implementation and operational practices help sustain adoption and driv e measurable business outcomes. \;

 \;

Register for this webinar to lear n how Proman: \;

  • Developed a s trong foundation for success through a structured and methodical implement ation approach. \;
  • Applied predictive analytics ac ross critical machinery and instrumentation to identify emerging equipment issues earlier. \;
  • Incorporated alerts into maint enance workflows to support more informed decisions and help reduce the ri sk of costly downtime. \;
  • Established best practic es for scaling Industrial AI across complex production operations while su staining adoption and long-term business value. \;

 \;

Join Proman as they discuss the decisions\, lessons\, and o perational approaches that helped turn predictive insights into action\, c reating a stronger foundation for reliability across critical production a ssets. \;

 \;

Instructions:< span style='font-size:11.0pt\;mso-bidi-font-family:Calibri'>

1) \; Soon\, you w ill receive a confirmation email from messenger@webex.com \; with your login instructions. Please be sure to copy your webinar login in structions into this Outlook invitation. If you do not receive this confir mation email \;please check your junk email f older. If you still cannot find the email with your webinar login instruct ions\, then send an email to Jacqueline.bredee@emerson.com< /u>

2) You will receive webinar reminders from < span style='color:#467886'>messenger@ webex.com \; prior to the start of this webinar. These reminder emails will also contain your webinar login instructions.

3) To attend the webinar\, please login with the name and email address that you used when registering for the webinar. < /span>

 \;

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