APAC EMERGING TECH SUMMIT 2024
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:
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What are the most profitable and surprising use cases?
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How are companies ensuring data privacy and security?
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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.
WHAT MAKES THIS SUMMIT UNIQUE?
CONTENT
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.
FORMAT
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.
Agenda
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
KEYNOTE
Will AI Ever be Effectively Regulated?
KEYNOTE SPEAKER
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
TRACK 1
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?
Panelists
Head of data Monetization at PT Smartfren Telecom Tbk
Chief Data Analytics Officer & Director of Transformation at L’Oréal
Head of Data and Insights at foodpanda
CEO APJ at BeeSolar
TRACK 2
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.
Panelist
Chief Strategy & Technology Leader at Pos Malaysia Berhad
11:30 – Noon
Panel Session
TRACK 1
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.
Panelist
Head of Technology at Singlife Philippines
TRACK 2
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?
Panelists
Chief Information Officer / Chief Data and Digital Officer – Southeast Asia and North Asia at Kenvue
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
TRACK 1
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.
Panelists
Head of Artificial Intelligence (AI) & Software Center at PT Kalbe Farma, Tbk
Executive Vice President, Digital & Technology Transformation at Mitr Phol Group
Regional Vice President/Head- Asia Technology Strategy & Operations at Liberty Mutual Insurance
Lead Enterprise Architect at BDO Unibank
TRACK 2
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.
Panelists
GWM Information Security Officer (DISO) at UBS
Vice President – Data & AI Solutions Architect at Great Eastern, Singapore
15:00 – 15:30
Panel Session
TRACK 1
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?
Panelist
Chief Operating Officer at Zurich Insurance
Arfah Aridz
Director, Data Conduct – Responsible AI and Data Ethics
TRACK 2
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.
Panelist
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 Invited?
