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UID:luma-d658a03f8b@palaner.app
DTSTAMP:20260802T141926Z
DTSTART:20260806T100000Z
DTEND:20260806T113000Z
SUMMARY:BRI Tech Talk: Let’s Talk About Enterprise AI Implementation
DESCRIPTION:Saved in Palaner as: saved\n\nPalaner match: 25% · why: matches
  your usual pattern\n\nAI is changing how software is built\, but is your 
 architecture ready?\nBuilding an LLM prototype is easy. Scaling AI securel
 y within enterprise environments is the real challenge. Legacy systems\, c
 ompliance requirements\, infrastructure limitations\, and rising compute c
 osts demand a new approach to software architecture.\nJoin technology lead
 ers from BRI\, DANA\, Terralogiq\, and Mekari as they share practical insi
 ghts and real-world lessons on building AI-ready systems that are scalable
 \, resilient\, and production-ready.\nWhat You'll Learn\nModernizing legac
 y applications for AI adoption\nBuilding AI-ready architecture for enterpr
 ise systems\nDesigning resilient cloud infrastructure for AI workloads\nMa
 naging security\, compliance\, latency\, and hybrid cloud challenges\nOpti
 mizing AI costs with practical FinOps strategies\nLessons learned from dep
 loying AI in production\nJoin us for 3 focused sessions featuring keynotes
  and a panel on AI-Ready Architecture\, Cloud Infrastructure\, and FinOps 
 Cost Scaling.\nSpeakers:\nYudhi Dwi Cahyono\, Department Head of Data & AI
  Governance - BRIShares practical insights on building AI-ready enterprise
  architecture\, covering data integration\, legacy modernization\, modular
  system design\, and AI governance for secure\, scalable adoption.\nPutu A
 gus Kartika Adhi Pratama\, Technology Architect (Manager) - BRIExplores ho
 w enterprises balance AI innovation with cloud architecture\, security\, g
 overnance\, and regulatory compliance in banking.\nFarry Abimael Argoebie\
 , Chief Technology Officer - TerralogiqShares how to design AI-ready cloud
  infrastructure from compute and orchestration to model serving for scalab
 le\, production-grade AI systems.\nFirda Safridi\, Head of Engineering - M
 ekariShares engineering best practices for running AI reliably at scale\, 
 covering autoscaling\, cost optimization\, and high-performance production
  systems.\nRandi Waranugraha\, VP of Engineering - DANA IndonesiaShares le
 ssons from scaling AI across the organization\, from early experimentation
  to enterprise-wide production adoption.\nWho Should AttendProfessionals d
 riving technology strategy and AI adoption across Architecture\, Engineeri
 ng\, and Infrastructure\, including:\nEnterprise\, Solution\, Data\, Secur
 ity\, and Cloud Architects\nAI\, Software\, Data\, Security\, and DevOps E
 ngineers\nIT Developers\nImportant NoteRegistration is subject to an appro
 val process to ensure a highly curated audience. Only selected participant
 s will receive a confirmation email and be eligible to attend the event.
URL:https://luma.com/l2qmgjjl
CATEGORIES:palaner,saved
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