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:

• ​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 experimentation to enterprise-wide production adoption.

​Who Should Attend
Professionals 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 Note
Registration 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.