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

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 - BRIShares 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) - BRIExplores how enterprises balance AI innovation with cloud architecture, security, governance, and regulatory compliance in banking. Farry Abimael Argoebie, Chief Technology Officer - TerralogiqShares 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 - MekariShares engineering best practices for running AI reliably at scale, covering autoscaling, cost optimization, and high-performance production systems. Randi Waranugraha, VP of Engineering - DANA IndonesiaShares lessons from scaling AI across the organization, from early experimentation to enterprise-wide production adoption. Who Should AttendProfessionals driving technology strategy and AI adoption across Architecture, Engineering, and Infrastructure, including: Enterprise, Solution, Data, Security, and Cloud Architects AI, Software, Data, Security, and DevOps Engineers IT Developers Important NoteRegistration is subject to an approval process to ensure a highly curated audience. Only selected participants will receive a confirmation email and be eligible to attend the event.