Six content pillars shaping
Indonesia's AI Ecosystem For Tomorrow
Driving enterprise transformation, digital innovation and AI adoption through world-class infrastructure, responsible governance, talent development and next-generation technologies.
Six content pillars shaping Indonesia's AI Ecosystem For Tomorrow
Driving enterprise transformation, digital innovation and AI adoption through world-class infrastructure, responsible governance, talent development and next-generation technologies.

AI Strategy, Value & Portfolio Economics
Explore how enterprises can prioritize AI investments, build compelling business cases and translate experimentation into measurable business value. Focus on investment decisions, ROI, cost optimization and strategies for scaling initiatives that deliver meaningful outcomes.

Agentic AI & Intelligent Enterprise
Examine how generative and agentic AI are transforming enterprise workflows, decision-making and business operations. Explore practical deployment approaches, intelligent automation, human oversight and the challenges of integrating AI agents into real-world enterprise environments.

Data & AI Readiness
Understand the data foundations required to deploy and scale AI successfully. Address data quality, integration, accessibility, governance and enterprise architecture, with an emphasis on preparing trusted, reliable data for production-grade AI applications.

Trusted AI, Governance & Risk
Explore how organizations can deploy AI responsibly while managing security, privacy, model risk, regulatory expectations and accountability. Focus on practical governance frameworks and controls that enable enterprises to innovate confidently within Indonesia's evolving AI landscape.

AI in Production: Industry Outcomes
Explore how Indonesian enterprises across financial services, telecommunications, manufacturing, retail, healthcare, energy and the public sector are translating AI investments into measurable business outcomes. Through main-stage case studies and cross-industry discussions, examine real-world implementations, deployment challenges, lessons learned and strategies for scaling AI successfully across enterprise operations.

AI Leadership, Workforce & Operating Model
Explore the leadership, organizational and workforce changes required to make AI adoption sustainable. Address AI ownership, operating models, employee readiness, skills development and change management to embed AI effectively across enterprise functions.
Align your brand or thought leadership with these 6 pillars
Sessions, keynotes, boardrooms and executive tracks are curated around these strategic priorities for Indonesia.
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Full tracks, confirmed speakers, sponsor packages and floor plan — the briefing document we send to executive teams.
Be in the room where Indonesia's AI decade is written.
Reserve your seat, your sponsor slot or your speaker application — and join the operators, regulators and capital allocators defining what comes next.
- Dates
- 15-16 Jun 2027
- Venue
- Jakarta, Indonesia
- Format
- In-person only