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BEGIN:VEVENT
UID:https://www.brighttalk.com/webcast/21118/674271
DTSTAMP:20260818T173106Z
ORGANIZER:MAILTO:noreply@brighttalk.com
LOCATION:BrightTALK
URL:https://www.brighttalk.com/webcast/21118/674271?utm_campaign=commu
 nication_reminder_starting_now_registrants&utm_medium=calendar&utm_sou
 rce=brighttalk-transact
DTSTART:20260909T170000Z
DTEND:20260909T180000Z
SUMMARY:Live webcast: AI Costing Foundations: How to Capture the True 
 Cost of Enterprise AI
DESCRIPTION:Click here to attend: https://www.brighttalk.com/webcast/2
 1118/674271?utm_campaign=communication_reminder_starting_now_registran
 ts&utm_medium=calendar&utm_source=brighttalk-transact\n\nPresenter: Tr
 ae Baker, Principal Strategic Advisor, TBM and FInOps, at Rego Consult
 ing featuring James Pearson, Technology Cost & Value, at Yarken\n\nAI 
 spend is moving out of the innovation playground and onto the operatin
 g budget. As leadership asks what business value these tools are deliv
 ering, many Finance and IT teams are finding that raw vendor bills don
 't tell the full story. Disparate data sources, mismatched reporting c
 adences, and token usage are only part of the puzzle.  Finding out the
  real cost of AI spans infrastructure, facilities, internal labor, and
  vendor commitments.\n \nJoin Rego's Trae Baker, alongside special gue
 st James Pearson from our partner at Yarken, as they share how to pull
  these scattered cost drivers out of separate systems and into a unifi
 ed model.\n \nIn this session, you’ll learn how to:\n• Map Your True A
 I Footprint: Look beyond basic API token bills to capture all five cos
 t drivers: compute, tokens, software licenses, development labor, and 
 vendor contracts.\n• Connect Disparate Cost Data: Walk through where e
 ach driver lives and how to handle fixed vs. variable data frequency.\
 n• Attribute Cost to Actual Work: Combine cost allocation with basic t
 elemetry to link spend directly to specific applications, business uni
 ts, and operational tasks.\n• Make Practical Portfolio Decisions: Use 
 your data to build straightforward, defensible recommendations on whic
 h AI initiatives to expand, optimize, or retire.\n \nThis session is g
 eared toward FinOps and ITFM leaders taking on the added challenge of 
 governing enterprise AI costs alongside traditional cloud spend.  Inst
 ead of just asking "what did we spend on AI?", you will learn how to b
 uild a repeatable framework that answers "what work was performed, by 
 whom, at what cost, and for what actual value?"
SEQUENCE:1788972372
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