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DTSTART:20260308T030000
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DTSTAMP:20260719T172722Z
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DTSTART;TZID=America/New_York:20260725T100000
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DESCRIPTION:As enterprises adopt AI-driven database management\, they encou
 nter an underappreciated three-way tradeoff between licensing exposure\, p
 erformance\, and cost. Based on peer-reviewed research and 20 years of ent
 erprise Oracle experience across Exadata\, RAC\, and OCI\, this session pr
 esents the trilemma framework\, empirical findings from large-scale enviro
 nments\, and a practical\, license-aware methodology for evaluating AI dat
 abase tooling. The talk is designed to be accessible to a broad technical 
 audience while offering depth for database and cloud practitioners.\n\nCo-
 sponsored by: ACM Richmond Chapter\n\nSpeaker(s): Devendra\n\nVirtual: htt
 ps://events.vtools.ieee.org/m/568705
LOCATION:Virtual: https://events.vtools.ieee.org/m/568705
ORGANIZER:devendraprajput@ieee.org
SEQUENCE:7
SUMMARY:The License Performance Cost Trilemma: Why AI-Driven Database Opera
 tions Break Traditional Oracle Economics
URL;VALUE=URI:https://events.vtools.ieee.org/m/568705
X-ALT-DESC:Description: <br /><p>As enterprises adopt AI-driven database ma
 nagement\, they encounter an underappreciated three-way tradeoff between l
 icensing exposure\, performance\, and cost. Based on peer-reviewed researc
 h and 20 years of enterprise Oracle experience across Exadata\, RAC\, and 
 OCI\, this session presents the trilemma framework\, empirical findings fr
 om large-scale environments\, and a practical\, license-aware methodology 
 for evaluating AI database tooling. The talk is designed to be accessible 
 to a broad technical audience while offering depth for database and cloud 
 practitioners.</p>
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