BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH PRODID:-//Telerik Inc.//Sitefinity CMS 12.2//EN BEGIN:VTIMEZONE TZID:Eastern Standard Time BEGIN:STANDARD DTSTART:20231102T020000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYHOUR=2;BYMINUTE=0;BYMONTH=11 TZNAME:Eastern Standard Time TZOFFSETFROM:-0400 TZOFFSETTO:-0500 END:STANDARD BEGIN:DAYLIGHT DTSTART:20230301T020000 RRULE:FREQ=YEARLY;BYDAY=2SU;BYHOUR=2;BYMINUTE=0;BYMONTH=3 TZNAME:Eastern Daylight Time TZOFFSETFROM:-0500 TZOFFSETTO:-0400 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT DESCRIPTION:For years\, Credit and A/R teams have been responsible for ensu ring and facilitating transactions. However\, this means that credit and c ash management analysts need to stay glued to every transaction\, long aft er it has taken place &ndash\; something which adds minimal value to the b ottom-line. However\, AI and Machine Learning are transforming credit and finance teams from mere transaction management to improved customer engage ment and analysis for positive financial impact.\nThis webinar explores ho w modern credit\, finance and IT teams are leveraging AI and data to repur pose receivables management from chasing unapplied payments\, resolving di sputes and balancing ledgers under hectic month-end schedules. DTEND:20180531T200000Z DTSTAMP:20240329T004514Z DTSTART:20180531T190000Z LOCATION: SEQUENCE:0 SUMMARY:Looking Beyond Transactions in Cash Collections and Claims: AI-driv en Transformation in the Analyst’s Role UID:RFCALITEM638472519144002296 X-ALT-DESC;FMTTYPE=text/html:
For years\, Credit and A/R teams have been responsible for ensuring and facilitating transactions. However\, this mea ns that credit and cash management analysts need to stay glued to every tr ansaction\, long after it has taken place &ndash\; something which adds mi nimal value to the bottom-line. However\, AI and Machine Learning are tran sforming credit and finance teams from mere transaction management to impr oved customer engagement and analysis for positive financial impact.
\nThis webinar explores how modern credit\, finance and IT teams are leve raging AI and data to repurpose receivables management from chasing unappl ied payments\, resolving disputes and balancing ledgers under hectic month -end schedules.
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