BEGIN:VCALENDAR PRODID:-//Microsoft Corporation//Outlook 16.0 MIMEDIR//EN VERSION:2.0 METHOD:PUBLISH X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VTIMEZONE TZID:Central Standard Time BEGIN:STANDARD DTSTART:16011104T020000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZOFFSETFROM:-0500 TZOFFSETTO:-0600 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010311T020000 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZOFFSETFROM:-0600 TZOFFSETTO:-0500 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CLASS:PUBLIC CREATED:20180625T184805Z DESCRIPTION:Lunch & Learn: What’s New in Artificial Intelligence for SMF and RMF/CMF Analysis?\nDate: Monday\, August 13\, 2018\nRoom: 232\nTime: 1 2:30 – 1:30 pm\nPresenters: Brent Phillips and Todd Havekost\nDescriptio n: Mainframe Managers and Performance & Capacity professionals are invited to join us for a hot lunch as we discuss how smart algorithms can augment human analysts to overcome today’s challenges to efficiently deliver on Application SLA’s from the z/OS infrastructure. We will discuss trends seen in both large and small mainframe sites which are taking root in the mainstream. Analysis topics include CPU and associated systems componen ts\, MLC\, Network\, Disk & Replication\, and Virtual Tape. \n \n DTEND;TZID="Central Standard Time":20180813T133000 DTSTAMP:20180625T184805Z DTSTART;TZID="Central Standard Time":20180813T123000 LAST-MODIFIED:20180625T184805Z LOCATION:Room 232 PRIORITY:5 SEQUENCE:0 SUMMARY;LANGUAGE=en-us:Lunch & Learn: What’s New in Artificial Intelligen ce for SMF and RMF/CMF Analysis? TRANSP:OPAQUE UID:040000008200E00074C5B7101A82E008000000002096B0261D07D401000000000000000 01000000088109E599299A748A56294D21A7436C8 X-ALT-DESC;FMTTYPE=text/html:
Lunch &\; Learn: What’\;s New in Artificial Intelligence for SMF
and RMF/CMF Analysis?
Date: Monday\, A
ugust 13\, 2018
Room: 232
Time: 12:30 –\; 1:30 pm
Presenters: Brent Phillips and Todd Havekost
Description: Mainframe Managers and Performance &
\; Capacity professionals are invited to join us for a hot lunch as we dis
cuss how smart algorithms can augment human analysts to overcome todayR
17\;s challenges to efficiently deliver on Application SLA’\;s from t
he z/OS infrastructure. \; We will discuss trends seen in both large a
nd small mainframe sites which are taking root in the mainstream.  \;&
nbsp\;Analysis topics include CPU and associated systems components\, MLC\
, Network\, Disk &\; Replication\, and Virtual Tape. \;