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BRI Tech Talk: Let’s Talk About Enterprise AI Implementation

AUG6
17:00
  • Technology leaders discuss strategies for scaling and securing AI implementations in enterprise systems.
  • Attendees will learn about modernizing legacy applications, building AI-ready architectures, and managing cloud infrastructure and costs.
  • The event targets professionals involved in deploying AI solutions in complex, regulated environments.

About this event

AI is changing how software is built, but is your architecture ready?
Building an LLM prototype is easy. Scaling AI securely within enterprise environments is the real challenge. Legacy systems, compliance requirements, infrastructure limitations, and rising compute costs demand a new approach to software architecture.
Join technology leaders from BRI, DANA, Terralogiq, and Mekari as they share practical insights and real-world lessons on building AI-ready systems that are scalable, resilient, and production-ready.

What You'll Learn
Modernizing legacy applications for AI adoption
Building AI-ready architecture for enterprise systems
Designing resilient cloud infrastructure for AI workloads
Managing security, compliance, latency, and hybrid cloud challenges
Optimizing AI costs with practical FinOps strategies
Lessons learned from deploying AI in production
Join us for 3 focused sessions featuring keynotes and a panel on AI-Ready Architecture, Cloud Infrastructure, and FinOps Cost Scaling.

Speakers:
Yudhi Dwi Cahyono, Department Head of Data & AI Governance - BRI
Shares practical insights on building AI-ready enterprise architecture, covering data integration, legacy modernization, modular system design, and AI governance for secure, scalable adoption.
Putu Agus Kartika Adhi Pratama, Technology Architect (Manager) - BRI
Explores how enterprises balance AI innovation with cloud architecture, security, governance, and regulatory compliance in banking.
Farry Abimael Argoebie, Chief Technology Officer - Terralogiq
Shares how to design AI-ready cloud infrastructure from compute and orchestration to model serving for scalable, production-grade AI systems.
Firda Safridi, Head of Engineering - Mekari
Shares engineering best practices for running AI reliably at scale, covering autoscaling, cost optimization, and high-performance production systems.
Randi Waranugraha, VP of Engineering - DANA Indonesia
Shares lessons from scaling AI across the organization, from early experim

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09:00 · Free · WorkshopDetails →
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