Meet Our Speakers
Uncover breakthrough insights from IDC experts and exclusive sessions featuring influential voices transforming technology and leadership today.
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Deepika Giri
Deepika manages and leads the research programs in big data and analytics (BDA), artificial intelligence (AI), blockchain, and Web3.
Deepika is a seasoned data and AI professional and brings extensive knowledge about the impact of data engineering, big data cloud platforms, and data science across critical sectors. She has extensive experience in software delivery as well as sales leadership and management. She also has over 20 years of experience in IT services, including leadership roles, at Capgemini, Infosys, and Accenture, and has strong industry expertise in the telecommunications and retail industries. More so, Deepika has an entrepreneurial spirit and has previously founded her own online retail fashion business.
Deepika holds a master’s degree in communication systems engineering from the University of Kent in United Kingdom and a bachelor’s degree in electronics and communications from the University of Madras, India.
Event Sessions
One Day Event 9:15 am
IDC Keynote: Agentic AI in 2026: The Autonomous Enterprise and the Next Wave of Productivity
Discover how autonomous enterprises can unlock productivity gains through self optimizing AI systems and intelligent automations.
Nawal Alotaibi
Nawal Alotaibi is the Business Planning Director at the National Data Bank (NDB), part of the Saudi Data & AI Authority (SDAIA). She specializes in business strategy, operational excellence, and digital transformation, with a focus on advancing national data initiatives and translating strategic priorities into measurable outcomes.
In her role, Nawal contributes to the strategic planning and development of the National Data Bank and its ecosystem of national data platforms. Her work focuses on advancing operational excellence, supporting data-driven government transformation, and strengthening the adoption and value realization of national data initiatives.
Nawal holds a Bachelor’s degree in Computer Science and an Executive MBA. She has also completed executive education in Data Strategy, AI Strategy, Business Strategy, and Leadership at leading global institutions, including Harvard Business School, INSEAD, Kellogg School of Management, Babson College, and UC Berkeley, alongside professional certifications in data management”.
Event Sessions
One Day Event 12:35 pm
From Data to National Value: Saudi Arabia’s National Data Bank Story
A look at how Saudi Arabia is transforming data into a strategic national asset — exploring the vision, architecture, and impact of its National Data Bank in driving innovation, informed decision-making, and long-term economic value across the Kingdom.
Roland V Oscuro
Event Sessions
One Day Event 2:10 pm
Panel Discussion: From Cyber Resilience to Business Value: Measuring the Impact of Security Investments
In an era of escalating cyber threats and growing regulatory demands, measuring the business impact of security investments has never been more important. This discussion will examine how organizations can translate cyber resilience into tangible business outcomes and gain board-level confidence in their security strategies.
Christina Lee
Christina Lee is a distinguished Information and Digital Technology Leader with over three decades of experience driving transformation for Fortune 500 multi-national brands. Currently serving as the APAC CIO, she oversees a team across 14 countries and global competency centre, leading AI-driven internal transformations and external product delivery.
Throughout her career, Christina has held high-impact leadership roles at prestigious companies, including Kering Group, L’Oréal, and Estée Lauder Companies. Her expertise lies in bridging the gap between technology and business, having successfully restructured tech functions into strategic partners that drive revenue and innovation.
Christina holds a BS in Computer Science from Yonsei University and an MBA from the University of Arizona. She furthered her expertise with executive training in Artificial Intelligence at MIT. Known as a strong organization builder, she excels at developing high-performing, multi-cultural teams.
Event Sessions
One Day Event 2:10 pm
Panel Discussion: From Cyber Resilience to Business Value: Measuring the Impact of Security Investments
In an era of escalating cyber threats and growing regulatory demands, measuring the business impact of security investments has never been more important. This discussion will examine how organizations can translate cyber resilience into tangible business outcomes and gain board-level confidence in their security strategies.
Ram Tallavajhala
Ram Tallavajhala is a Principal AI Field Engineer at Boomi, working across Global Field Engineering with a focus on the Asia-Pacific enterprise market. He partners with customers across education, resources, finance, and government to translate emerging AI and integration capability into field-tested demos, technical proof points, and talk tracks for analyst briefings and customer engagements.
Ram brings 25 years of enterprise integration experience to the role, 8 of them at Boomi, the majority spent building out generative and agentic AI capability since its inception. His work spans agent governance and orchestration, API and data management, event-driven architecture, and grounding AI systems in trusted enterprise data — with hands-on experience across major cloud AI platforms and enterprise application ecosystems.
He’s known internally for building field-executable positioning that holds up under scrutiny from sophisticated buyers and analysts — consistently pushing for honest, capability-versus-roadmap clarity rather than overstatement in customer- and analyst-facing material.
Event Sessions
One Day Event 9:40 am
To AI or Not to AI: What’s Deterministic, What’s Probabilistic, and Why It Matters
Every CIO is under pressure to “do something” with agentic AI — but most organizations are stuck between flashy pilots and real production value. In this session, Ram Tallavajhala, Principal AI Engineer, will share Boomi’s practical framework for AI business transformation, built from our own experience. You’ll learn why the most successful agentic systems aren’t “AI everywhere” — they’re a deliberate hybrid of deterministic automation and probabilistic reasoning, applied with the right level of human oversight for each use case.
Vibhav Bhalla
Event Sessions
One Day Event 9:55 am
Staying on Course: Stopping Execution Drift in the Age of AI
The data is in better shape. The AI pilots are running. And yet the work that matters most still tends to land somewhere other than where it was meant to. This session explores that quiet gap between what organisations set out to do and what actually gets delivered, and why it’s becoming harder to ignore as AI takes on more of the work. You’ll leave with a sharper way to see it in your own initiatives and a question worth taking back to your team.
Cuan DeVries
With a background spanning sales engineering, solution design, and business intelligence consulting, Cuan brings deep technical insight and a practical, results-driven approach. He has led numerous data platform evaluations, proof-of-concept initiatives, and architecture reviews, always focusing on aligning technical capabilities with business goals. Before joining Actian, he also held senior roles at Insight Software and Oracle, where he served in a solution advisory capacity.
Event Sessions
One Day Event 10:10 am
AI and Data: Balancing Innovation with Responsibility
Explore how organisations can accelerate AI innovation while ensuring responsible use of data through effective governance, security, transparency, and risk management.
Mark Tritaris
Mark Tritaris is a seasoned enterprise technology professional with over 30 years of experience specialising in data and AI governance, data security and cloud technologies. As APAC Senior Presales Consultant at Actian, he helps organisations navigate complex data management, security and regulatory challenges. A regular industry speaker, Mark shares insights on AI governance, data privacy and regulatory compliance.
Ross Morpeth
Event Sessions
One Day Event 11:50 am
From VUCA to VURA: Accelerating Enterprise AI with Visible, Understandable, Repeatable, and Auditable Workflows
AI initiatives across ASEAN often stall because leaders cannot trust “black-box” outputs. To bridge this trust gap and unleash true AI velocity, organizations must transition from managing VUCA to adopting Alteryx’s VURA framework.
This session explores how to establish a robust business logic layer that makes your data pipelines Visible, Understandable, Repeatable, and Auditable. Learn how to turn complex datasets into explainable, compliant, and trustworthy assets—transforming AI from a risky experiment into a predictable, high-velocity engine for enterprise scale.
Chak Ming Fai
As Head of Technology for Asia at Adobe, Chak leads the Solutions Consulting team, advising customers on Customer Experience Management and Digital Media solutions.
Over more than 15 years at Adobe, he has held presales and consulting roles across Southeast Asia and Greater China, and led the mobile consulting practice in Asia Pacific and Japan.
Before joining Adobe, Chak worked in business development and content operations at Microsoft Singapore and in technical sales at IBM. He also ran his own web design startup.
Simon Lewry
Simon Lewry is the Director of Solution Architect for the Asia-Pacific region, where he leads a high-performing team responsible for designing and delivering innovative technical architecture solutions across global data centers, private, public, and hybrid hosting environments, and complex networking landscapes. With over 25 years of experience in technology, advisory, and services, Simon is a seasoned leader known for his consultative approach to problem-solving. He combines deep industry expertise with a proven track record of delivering impactful outcomes across global markets, including extensive experience in the Asia region. Throughout his career, Simon has partnered with enterprise customers to strategically align technology with business objectives, drive customer-focused innovation, and lead transformation initiatives that enhance business performance. His ability to foster collaboration, guide technology strategy, and navigate complex transitions has positioned him as a trusted advisor in the digital transformation space.
Event Sessions
One Day Event 12:05 pm
The AI Inflection Point: Decisions That Determine Scale
AI pilots often prove what is possible, but production AI proves whether the economics work. This session helps business and technology leaders understand the shift from experimentation to scalable enterprise AI, where token usage, inference costs, GPU utilisation, data sovereignty and governance all influence the business case.
Digital Realty will explore how organisations can evaluate the inflection point between public cloud consumption, hybrid models and dedicated Private AI infrastructure. The session provides practical lens on ROI, TCO, cost attribution and workload placement, helping leaders understand how to scale AI with greater predictability, financial control and operational confidence.
Geraldine Chen
Geraldine Chen is a Senior Advisor on AI execution at Camunda, working with enterprise leaders across Asia Pacific. With close to a decade of experience across technology scale-ups and advisory roles, she brings a practitioner’s view of the gap between AI ambition and real-world execution. Her work with regulated organizations, particularly in the region’s financial sector, has shown her what it takes to move AI from promising pilots into production, including the governance, orchestration, and cross-team alignment involved. She focuses on practical paths to scaling AI responsibly and with measurable impact.
Event Sessions
One Day Event 12:20 pm
The AI Execution Gap: Why More Agents Isn’t More Results
Asian enterprises have moved past AI experimentation — but most agentic AI still lives in isolated pilots, not core operations. The gap isn’t ambition, it’s execution: autonomous agents are probabilistic, while mission-critical processes demand deterministic, and auditable control. Closing that gap takes more than plugging agents into existing workflows — it takes rethinking the process itself. Camunda shares how leading enterprises are reengineering core processes around AI agents, legacy systems, and human oversight to move agentic AI from silo to scale, without losing visibility or compliance.
Hari Srinivasan
Hari Srinivasan is a Principal Technologist at Equinix, where he helps shape the go-to-market strategy for Equinix’s products and solutions with a focus on distributed AI deployments and modern infrastructure solutions. With more than 15 years of experience across product marketing, solution architecture, and product management, Hari brings a deep understanding of how digital infrastructure can enable innovation at scale.
At Equinix, Hari works closely with global product teams, executive leadership, and strategic partners to identify shared value and open new market pathways. He has launched multiple products and solutions across the Asia Pacific region, helping enterprises and service providers design architectures that deliver performance, control, and observability across hybrid and multicloud environments.
Hari is passionate about bridging the gap between technical possibility and business impact. His approach combines strategic thinking with hands-on experience, translating complex technologies into clear outcomes for organizations navigating digital transformation and AI-driven workloads.
Prior to his current role, Hari held diverse positions spanning sales engineering, product management, and marketing, giving him a holistic perspective on how technology ecosystems evolve.
Event Sessions
One Day Event 2:10 pm
Workshop: Building the Infrastructure Foundation for Agentic AI
Agentic AI moves from answering questions to taking action autonomously. Agents plan multi-step tasks, call tools and APIs, work across systems and make decisions in real time. That changes what enterprise infrastructure must deliver. Agents need low-latency access to data wherever it lives: across clouds, SaaS platforms, partners and the edge. They also need to meet data sovereignty and residency rules. Many enterprises want to scale agentic AI, but few feel ready for autonomous workflows.
This workshop brings together technology leaders to discuss practical questions on infrastructure choices for hosting enterprise agents. Each table will take one question and share key insights with the room. The result is a peer-built view of what an “agent-ready” infrastructure looks like.