

Speaker · CIO Vision Jakarta 2026
Head of Data Governance at Adira Finance
On their agenda
In the room



WIB · Panel
The future of enterprise growth is closely tied to the adoption of agentic AI, which offers capabilities far beyond traditional AI by enabling autonomous execution. This panel will examine how agentic AI enables continuous improvement in business processes, drives competitive differentiation through faster innovation cycles, and supports customer experiences. Leaders will discuss how to build resilient enterprise architectures that fully leverage agentic AI’s potential. They will also explore strategies for aligning AI initiatives with organizational goals, addressing ethical and governance considerations, and preparing the workforce for AI-driven transformation.
Shared the stage with
Kunal KairaHead of Data, Flip
Kukuh T WicaksonoHead of IT Digital Transformation, Hanwha Life Indonesia
Yonatan Kristiono GunadiHead of Product and Technology, FIT HUB
Erwin SusiloHead of Digital Transformation, PT. Sinar Mitra Sepadan Finance (SMSFinance)
Frenny NaHead of Data Intelligence and Strategic Analytics, Permata BankWorking on now
About
<p>Toni Hutomo Putro, is a data and AI transformation leader with more than a decade of experience helping organizations build trust, value, and innovation through data. With extensive experience across banking, financial services, and consulting, he specializes in data governance, enterprise data strategy, data quality, metadata management, master-data management, and regulatory compliance. Currently leading Data Governance at Adira Finance, recognized for connecting business strategy, data management, and emerging technologies to deliver measurable organizational outcomes. His work focuses on establishing the governance foundations required for AI adoption, ensuring data quality, transparency, accountability, and regulatory readiness. As a speaker on Agentic AI and the Future of Enterprise Growth, he will shares practical insights on how organizations can leverage trusted data and governance frameworks to scale AI responsibly while balancing innovation, risk management, and compliance requirements.</p><p></p>
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