Unlocking new possibilities with AI

AI Innovation Conference

algoritma

  • Thursday, 15 May 2025

    09:00 - 17:00 WIB
  • Kuningan City Ballroom
    Jl. Prof. DR. Satrio No. Kav. 18. Jakarta
Sold Out or Lapsed

We have either reached our maximum capacity or the event has already occurred. Our events pageis where you will find our upcoming events and AI engineering workshops.

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Participants

About the Conference

Discover how AI is transforming industries and driving Indonesia's economic growth in the AI Innovation Conference. Delve into exclusive keynotes and panel discussions led by industry leaders and gain cutting-edge strategies to integrate AI into your business. Connect with AI experts across industries, expand your network, and unlock new opportunities to drive innovation in the AI era.

Why join the AI Innovation Conference?

AI Ecosystem
1

Connect and expand your network with AI experts, industry leaders, AI startups and key innovators across industries that are working to shape the future of the enterprise AI landscape in Indonesia.

Exclusive Insights
2

Gain exclusive insights from industry experts on the latest in Generative AI, RAG systems, agentic workflows, and other emerging technologies that are reshaping how businesses operate in the digital age.

Collaborative Innovation
3

Engage in thought-provoking discussions, exchange new ideas, and explore collaborative opportunities with industry peers and experts, guided by the shared goal of driving innovation and growth through AI.

Who's speaking?

Conference Agenda

Networking Session

08.00 - 09.00

Quick networking session to meet and greet with other attendees and speakers.

The Foundations of Enterprise-ready AI Systems
09.05 - 09.40

Keynote

Samuel Chan

Samuel draws on his experience in building AI systems for the financial sectors and energy sectors to share the key components that make an AI system enterprise-ready.

He will cover topics such as RAG (Retrieval-Augmented Generation), tool-use agents, and the importance of interoperability and data governance when deploying AI systems for the enterprise.

Overcoming Barriers to AI Adoption in Industry
09.40 - 10.25

Panel Discussion

Ir. Dito Eka Cahya, Ben Hughie Rezanda, Irvan Bastian Arief

This panel discussion will explore the key challenges industries face when adopting AI, including cultural resistance, data silos, data privacy and security concerns, integration issues, uncertain return on investment (ROI), and digital infrastructure readiness. Experts will discuss strategies to overcome these barriers and share insights on how organizations can build a robust digital infrastructure that enables seamless AI integration into business operations, unlocking its full potential.

AI in Finance: Enhancing Risk Management & Fraud Detection
10.25 - 11.00

Keynote

Indra Hidayatullah

This session will focus on how AI is transforming banking and finance through advancements in risk management, fraud detection, and beyond. The discussion will cover the application of AI to mitigate financial risks, detect fraudulent activities, and enhance security measures, ultimately improving the efficiency and reliability of financial institutions.

Optimizing Operations with Machine Learning
11.00 - 11.35

Keynote

Andrea Parestu

This keynote session will explore how Machine Learning enhances operational efficiency through predictive maintenance. The session will cover key concepts such as anticipating maintenance needs, identifying potential system failures, and optimizing servicing schedules to prevent downtime. By leveraging data-driven insights, organizations can improve reliability, reduce costs, and streamline operations across various industries. Attendees will gain valuable perspectives on how predictive analytics is transforming maintenance strategies, ensuring smoother and more efficient system performance.

Networking Session

11.50 - 12.50

Networking with other attendees and speakers. Light refreshments will be served.

Future-Proofing Talent: Building Skills for AI-Driven Innovation
13.00 - 13.45

Panel Discussion

I Wayan Wisnu Anantawijaya, Abdul Rozak Hamzah, Billyansyah Andika Pratama

This session will explore the essential technical, analytical, and strategic skills required to thrive in the era of AI. It will also discuss how organizations can upskill their workforce and address the talent gap to drive innovation and maintain a competitive edge. This session is particularly suitable for HR practitioners who are looking to understand the skills needed for the future workforce and how to effectively develop talent to meet the demands of AI-driven innovation.

AI-Driven Transformation in BUMN: Enhancing Innovation and National Competitiveness
13.45 - 14.20

Keynote

Anindio Daneswara

This session will explore how Artificial Intelligence (AI) is driving transformation within State-Owned Enterprises (BUMN) to enhance innovation, operational efficiency, and decision-making processes. It will discuss the role of AI in reshaping BUMN's strategies to stay competitive, improve public service delivery, and contribute to national economic growth. The session will highlight successful AI applications within BUMN sectors and their impact on increasing productivity, reducing costs, and fostering innovation that strengthens Indonesia's global competitiveness.

AI in Manufacturing: Optimizing Workflows and Productivity
14.20 - 14.55

Keynote

Edwin Simjaya

This session will explore how AI is optimizing manufacturing operations by streamlining processes, improving efficiency, and reducing costs. The session will highlight key AI-driven technologies and their applications in transforming production workflows and supporting continuous improvements across the manufacturing sector.

Transforming the Transportation Industry with AI
15.00 - 15.35

Keynote

Raditya Maulana Rusdi

This session will explore how AI is transforming the transportation industry by driving innovation and improving operational performance. Key topics will include AI applications in route optimization, fleet management, and real-time traffic analysis. The discussion will highlight how these technologies are enhancing safety, reducing costs, and improving the overall efficiency of transportation systems, shaping the future of mobility.

AI in Energy & Natural Resources: Unlocking Efficiency and Sustainable Growth
15.35 - 16.10

Keynote

Muhammad Awqi Gibran

This keynote session will explore how Artificial Intelligence (AI) is revolutionizing the energy and natural resources mining sector by driving operational efficiency, enhancing safety, and optimizing resource management. The session will cover AI applications like predictive maintenance, real-time monitoring using computer vision, supply chain optimization, and automation in exploration and production. Participants will gain valuable insights from real-world case studies on how AI is improving productivity, mitigating risks, and accelerating the transition towards a more sustainable and efficient future in the energy and resources industries.

The Role of Government and Industry in Shaping the Future of AI
16.10 - 16.55

Panel Discussion

Pingky Dezar Zulkarnain, Juan Intan Kanggrawan, Vincentius C. Calvin

This panel will explore the role of both government and industry leaders in shaping the future of AI. The discussion will focus on the necessary policies, innovation strategies, and partnerships required to accelerate AI adoption, foster economic growth, and enhance global competitiveness. Key stakeholders will share insights on how collaboration between government and industry can drive sustainable progress in the AI field.


Workshop has Ended

Publications

Print and digital publications on Enterprise AI, including e-books and whitepapers from Supertype's team of experts. These are print-friendly and can be downloaded for offline reading. Latest publications include:

  • Building Search Engines in the Age of AI
  • Blueprints from Agentic Patterns (2026)
  • The Enterprise AI Agentic Stack (2026)
Supertype Notes

Supertype Notes is a collection of field notes, technical essays and article series on enterprise analytics, machine learning, and data science. We welcome contributions from practitioners working on real-world analytics and AI systems.

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