Kuala Lumpur



4th September 2024 in Kuala Lumpur
09:30 – 18:30 KL Time

This summit will focus on the impacts and opportunities associated with emerging AI technologies including (but not limited to) generative AI platforms from companies like IBM, OpenAI, Nvidia, and Anthropic, considering questions such as:
  • What are the most profitable and surprising use cases?
  • How are companies ensuring data privacy and security?
  • How do you turn experiments scattered across the enterprise into a coherent strategy?
Bringing together 120+ senior executives and regional experts across ASEAN countries, charged with creating and executing their organization’s AI strategy for leveraging AI/ML in both enterprise and customer-facing applications from the IT side and the line of business side, this summit offers action-oriented panels, workshops, 1:1 meetings, and numerous networking opportunities to share initiatives, inspire peers, and find solutions to real execution challenges.



Power Panels

Interactive panel discussions with subject matter experts who will share their insights and points of view.

Collab Workshops

Practitioner-led workshops designed to provide knowledge you can put to work in your own company.

Emerging Tech Startup Showcase

Early-stage regional startups will be provided a platform to tell their stories and inspire us with their innovation.


The summit’s conversational format gives you the opportunity to freely ask questions and share your own POV during sessions.

Ample networking time means your day away from the office provides not only an occasion to learn, but also a professional growth opportunity.

Optional 1:1 meetings means you can take advantage of the cutting-edge sponsors who will be on site, ready to help you achieve your 2024 goals and beyond.


9:30 – 10:00

Registration and Breakfast

Check-in, enjoy breakfast, and meet with fellow Business Leaders, Experts, and Government Officials before the summit officially kicks off.

10:00 – 10:10

Welcome and BuyerForesight™ Introduction

10:10 – 10:30

Keynote Address


Will AI Ever be Effectively Regulated?

Steve Nouri


Founder, AI Thought Leader, Speaker, Fortune 500 Advisor

Steve Is the Most followed AI and Data Science thought leader on LinkedIn.

  • Founder of LinkedIn Generative Al page, the largest Al community in the world with 2+ Million Members
  • Founder at Al4Diversity, A global nonprofit initiative to educate and empower underrepresented groups
  • Chair of the global responsible Al community in collaboration with ACM and Commonwealth
  • Advisor at Fortune 500, collaborating with Intel, Oracle, Nvidia, Alteryx, and Data bricks
  • Chief Al Evangelist at Wand
  • Contributor at Forbes
  • Member of the advisory council at Harvard Business Review

10:30 – 10:45

Emerging Tech Partners Introduction

In this introduction, we highlight our solution partners who are driving tech transformation across industries. These strategic collaborators offer expertise in consulting, IT strategy, and innovative technology platforms, collectively assisting companies in formulating, implementing, and reviewing strategies aligned with corporate objectives and compliance requirements.

10:45 – 11:00

Coffee Break and Networking

11:00 – 11:30

Panel Session


The Most Interesting New AI Use Cases

The initial use cases for GenAI were easy to come up with. Truly conversational AI, summarizing enormous amounts of unstructured text and the like. What disruptive and interesting use cases have companies rolled out recently, and what can we learn from them?

Hermawan Kristanto

Head of data Monetization at PT Smartfren Telecom Tbk

Krishna Feron

Chief Data Analytics Officer & Director of Transformation at L’Oréal

Akanksha Rastogi

Head of Data and Insights at foodpanda

Vidal Fernández

CEO APJ at BeeSolar


Does AI Need to be Explainable?

The negative implications of the “AI black box” are well known, but must all AI models be explainable? In this session, we’ll discuss when explainability is essential. We’ll also look at ways companies are monitoring the quality, accuracy, and potential bias of model outputs in lieu of being able to explain the underlying model.

Sumesh Rahavendra

Chief Strategy & Technology Leader at Pos Malaysia Berhad

11:30 – Noon

Panel Session


The AI Risks to Prepare for Now

Not all AI risks are obvious. In this session, we’ll discuss how companies are prioritizing AI risks by both urgency and industry.


What Will Define a “Knowledge Worker” in an AI World?

Generative AI can handle a lot of tasks we associate with junior knowledge workers. As “AI digital workers” proliferate, how will companies redefine these roles for the human staff who remain?

Natalie Que

Chief Information Officer / Chief Data and Digital Officer – Southeast Asia and North Asia at Kenvue

Santanu Ghosh - Head of Digital at Asia Pulp & Paper

Head of Digital at APP Group

Terrence Siu

Head of IT | Group Director, Information Technology at Vita Green Health Products Co., Ltd.

Noon – 13:00

Lunch and Networking

13:00 – 14:00

Peer Connect Session and Scheduled 1:1 Meetings with Sponsors

Take a break to network with your peers and meet with relevant Emerging Technology Summit sponsors.

14:00 – 14:30

Emerging Tech Startup Showcase

This showcase establishes a platform for early-stage regional startups to tell their stories and inspire us with their creativity and innovation.

14:30 – 15:00

Panel Session


How Will You Hire and Train for an AI Future?

When AI is integrated into most aspects of a company’s operations, how should companies be rethinking how they recruit, hire, and train new staff? We’ll discuss what skills and aptitudes are likely to be most valuable in an AI-augmented company.

Edwin Simjaya

Head of Artificial Intelligence (AI) & Software Center at PT Kalbe Farma, Tbk

Athikom Kanchanavibhu

Executive Vice President, Digital & Technology Transformation at Mitr Phol Group

Sourabh Chitrachar

Regional Vice President/Head- Asia Technology Strategy & Operations at Liberty Mutual Insurance

Joseph Anthony Cruz

Lead Enterprise Architect at BDO Unibank


How Will LLMs Impact Data Privacy?

“Open source” LLMs have generated controversy around the sources of data used in their models, and the potential for abuse that creates. Others see a role for using GenAI to find and flag PII for removal. In this session, we’ll discuss both the risks and opportunities.

Sandra Laton

GWM Information Security Officer (DISO) at UBS

Pravat Sutar

Vice President – Data & AI Solutions Architect at Great Eastern, Singapore

15:00 – 15:30

Panel Session


Developing an Ethical Governance Framework for AI

Companies are realizing they need both data governance and model governance to avoid ethically questionable outputs. Bias is the biggest risk factor, but there are others. How are companies creating workable governance frameworks?

Ashvin S. Uttamsingh

Chief Operating Officer at Zurich Insurance

Arfah Aridz
Arfah Aridz

Director, Data Conduct – Responsible AI and Data Ethics


Domain-Specific Small Language Models

Domain-specific small language models are creating opportunities for efficiency, versatility, and accessibility that will open up thousands of use cases not applicable to more general LLMs. There is plenty of scope for innovation as developers explore the possibilities of these new customizable codebases.

Risman Adnan

Director of Corporate Digital Technology at PT Kalbe Farma, Tbk

15:30 – 16:30

Peer Connect Session and Scheduled 1:1 Meetings with Sponsors

Network with your peers and meet with relevant Emerging Tech Summit sponsors.

16:30 – 16:50

Advisory Board Summit Wrap-Up

Join us as our Advisory Board members recap the day’s content & share their takeaways & insights.

16:50 – 18:30

Networking Reception with Drinks and Appetisers

Enjoy a proper send-off after a day full of conversation, insights, and activities.

Who’s Attending?