The Endpoint Reality Check: Are You Capturing the Full Value of AI?
About this Event
Aligning AI Strategy With Workforce Infrastructure for Measurable Value at Scale
The New Enterprise AI Reality:
- AI investment focuses on cloud and data centres, while systems and endpoints lag.
- Employees use AI tools on devices not built for them, limiting value.
- Local and on-device AI is gaining traction, reducing cloud dependency while improving security and control
- Scaling AI requires balancing productivity, governance, cost efficiency and modernised infrastructure.
The challenge is no longer adopting AI, but building secure, AI-ready infrastructure that delivers scalable productivity, efficiency and business value.
“The organisations that gain the greatest value from AI will be the ones that prepare their workforce infrastructure for it first.”
-OpenGov
The Endpoint Reality Check: Are You Capturing the Full Value of AI?
Malaysia’s AI ambitions are accelerating as organisations pursue national digitalisation priorities, operational efficiency and enterprise-wide innovation. However, many organisations continue to focus AI investments primarily on cloud and data centre capabilities while workforce infrastructure at the edge remains fragmented or outdated.
AI with edge capabilities boost productivity and automation at the endpoint. Organisations can reduce reliance on cloud-based processing, improve security by keeping sensitive data on-device and significantly lower costs associated with token-based cloud usage and long-term total cost of ownership.
The next phase of AI in Malaysia will be won by organisations that modernise workforce endpoints to deliver measurable productivity gains while strengthening security and governance at the device edge.
How Leading Organisations Are Responding:
- Productivity at the Endpoint: Enable AI-powered workflows through AI-ready devices and on-device acceleration.
- Security, Governance and Privacy: Apply policy, control and data protection closer to where AI is used via edge AI capabilities.
- Cost Optimisation Through On-Device AI: Reduce reliance on cloud token consumption and improve total cost efficiency.
- Hybrid Infrastructure Readiness: Extend AI from cloud and data centres to endpoints across cloud, on-premises and edge environments.
Without an AI-ready infrastructure, organisations risk scaling AI faster than they can secure or govern it, increasing inefficiency and exposure. The next phase of AI will depend on secure, intelligent workforce environments at scale.
Key Outcomes for Enterprise AI Leaders:
- REFRAME AI from experimentation to measurable productivity and business impact
- BALANCE innovation with security, governance and operational control
- DEFINE the role of AI PCs and edge AI in enterprise infrastructure
- ENABLE scalable, secure, AI-ready workforce infrastructure
- OPERATIONALISE AI across endpoints, workflows and environments to prove ROI
Who should attend
- Chief Digital Officers
- Chief Information Officers
- Chief Technology Officers
- Chief Operating Officers
- Chief Innovation Officers
- Chief Transformation Officers
- Directors and Heads of AI and Innovation
- Directors and Heads of IT Infrastructure and Networks
- Directors and Heads of Enterprise Architecture
- Directors and Heads of Technology Strategy
- Directors and Heads of Digital Transformation
- Directors and Heads of IT Operations
- Directors and Heads of Workplace Technology
Untitled agenda
🕑: 08:00 AM
Registration and Breakfast
🕑: 08:55 AM
Group Photograph (Yes, we will share this)
🕑: 09:00 AM - 09:15 AM
Audience Participation
🕑: 09:15 AM - 09:20 AM
Opening Remarks
Host: Mohit Sagar, CEO & Editor-in-Chief, OpenGov Asia
🕑: 09:20 AM - 09:25 AM
Welcome Address
Host: Lenovo Subject Matter Expert
🕑: 09:25 AM
In Conversation With
Host: CEO & Editor-in-Chief, OpenGov Asia
Info: AI at the Edge: Are Your Workforce Foundations Ready?
As AI adoption accelerates across Indonesian enterprises, organisations must rethink whether their workforce infrastructure is prepared to support AI securely, efficiently and at scale. AI is no longer confined to cloud platforms and data centres - it is increasingly transforming the devices employees use every day, reshaping productivity, security and enterprise operations.
• Moving from cloud-only AI to AI-ready workforce infrastructure that extends from data centre to endpoint
• Driving measurable productivity and performance with AI PCs and edge AI
• Balancing security, governance and workforce agility in distributed enterprise AI
🕑: 09:45 AM
Audience Interactive Discussion
Info: (This hour-long interactive session will pose strategic questions to the audience to spark participation and deeper dialogue. The conversation will seamlessly extend to the speakers and panellists, creating a dynamic and insightful exchange of perspectives.)
🕑: 11:05 AM
Closing Remarks
Host: Lenovo Subject Matter Expert
🕑: 11:10 AM
End of OpenGov Breakfast Insight
Where is it happening?
Event Location & Nearby Stays:
USD 1033.61
