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Directly engage with 80+ qualified technology buyers and influencers from the country.

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From Data Chaos to AI Confidence

From Data Chaos to AI Confidence

From Data Chaos to AI Confidence

In Partnership With

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How Enterprises Are Turning Connected Data into Real Business Value

As enterprises scale AI from experimentation to production, a critical gap is emerging – AI systems are only as reliable as the data context behind them. Many organisations are discovering that traditional data architectures built to store data, not relationships, are limiting their ability to deliver accurate, explainable, and scalable AI outcomes.

 

Recent IDC research shows that organisations adopting graph-based approaches are seeing 44% fewer GenAI hallucinations, 53% faster queries, and achieving a 230% ROI with a payback period of just 7.8 months. At the same time, they are unlocking millions in annual business value by enabling new use cases, improving decision-making, and accelerating time to market.

 

This closed-door executive roundtable brings together CIOs and senior technology leaders to engage in an interactive discussion with peers on how to evolve their data and AI strategies from fragmented data environments to trusted, context-rich intelligence platforms.

Why Attend

  • Gain Research Insights: Learn from IDC’s latest global and APeJ research on AI and GenAI adoption, trends, and enterprise challenges.
  • Understand Connected Data: Discover why connected intelligence is critical for scaling AI and improving decision-making.
  • See Graph Technology in Action: Learn how graph-based approaches help organisations enhance AI accuracy, explainability, and trust.

Agenda

From Data Chaos to AI Confidence

One Day Event

11:30AM

Registration, Tea/Coffee & Networking

12:00PM

Welcome Address

Xander Smart

Xander Smart

General Manager – ASEAN, Neo4j

Mark Woodhams

Mark Woodhams

Chief Revenue Officer, Neo4j

12:10PM

From Data Chaos to AI confidence: How Enterprises are Turning Connected Data into Real Business Value

Key Findings from the IDC Whitepaper on “The Business Value of Neo4j Graph Intelligence Platform

Sandra Ng

Sandra Ng

Senior Vice President, WW and APJ Research, IDC

12:25PM

The Knowledge Layer for Enterprise AI

Philip Rathle

Philip Rathle

Chief Technology Officer, Neo4j

12:45PM

Open Discussion: Scaling Trusted GenAI: Why Knowledge & Context are the Missing Links

Explore how connected, contextual data helps enterprises scale Generative AI responsibly by improving accuracy, trust, and governance while reducing risk.

Sandra Ng

Sandra Ng

Senior Vice President, WW and APJ Research, IDC

Philip Rathle

Philip Rathle

Chief Technology Officer, Neo4j

1:30PM

Summary and Close

Xander Smart

Xander Smart

General Manager – ASEAN, Neo4j

1:35PM

Lunch and Networking

Speakers

Sandra Ng

Sandra Ng

Senior Vice President, WW and APJ Research

IDC

Read bio

Philip Rathle

Philip Rathle

Chief Technology Officer

Neo4j

Read bio

Mark Woodhams

Mark Woodhams

Chief Revenue Officer

Neo4j

Read bio

Xander Smart

Xander Smart

General Manager – ASEAN

Neo4j

Read bio

In Partnership With

Venue

The St Regis Singapore

Meeting Room: Embassy & Consulate, Level 1
29 Tanglin Rd, Singapore 247911

AI at Scale: The Next Phase of Enterprise Transformation

AI at Scale: The Next Phase of Enterprise Transformation

Partners

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Overview

AI investment across Asia/Pacific is accelerating rapidly, with IDC forecasting $175 billion in AI and GenAI spending by 2028, as organisations move from pilots to enterprise-scale deployment. For Australian organisations, the next phase of AI adoption is focused on speed, trust, and operational scale. 

At the same time, by 2026, 65% of APEJ organisations will adopt composite AI, combining generative, predictive, prescriptive, and agentic AI to improve reliability and explainability, particularly in regulated industries. 

 

Scaling AI also depends on infrastructure and data readiness. IDC forecasts that organisations that fail to prioritise high-quality, AI-ready data will experience a 20% productivity loss when scaling generative and agentic AI solutions. As a result, Australian enterprises are increasingly investing in hybrid and multicloud platforms, secure data foundations, and governance frameworks to operationalise AI at scale. 

 

This invitation-only executive roundtable brings together Australian CIOs and senior IT leaders to explore how AI can be industrialised across the enterprise, delivering measurable value while managing risk and compliance. 

What’s in it for You?

  • Exposure to AI Readiness Assessment developed by IDC and commissioned by Lenovo, offering insights to help organisations unlock their full AI potential
  • Access IDC research-backed insights on scaling AI across the enterprise
  • Learn how peers are accelerating time-to-value while maintaining governance and trust
  • Exchange practical approaches to AI evaluation, data readiness, and infrastructure strategy
  • Understand how composite AI and industrialised platforms are shaping the next phase of enterprise transformation
What’s in it for You?

Agenda

AI at Scale: The Next Phase of Enterprise Transformation

One Day Event

8:30AM

Registration, Tea/Coffee and Networking

9:00AM

Welcome Address

James Robertson

James Robertson

Sales Director, Public Sector & Enterprise, Lenovo

9:05AM

Securing the AI-Driven Enterprise: Infrastructure, Data, and Trust

As enterprises accelerate AI adoption, security must evolve beyond traditional perimeters to protect intelligent, data-driven ecosystems. This session explores how organisations can build resilient AI-ready infrastructure, ensure data integrity and governance, and embed trust through explainability, observability, and compliance-by-design.

Linus Lai

Linus Lai

Group Vice President, Research, IDC

9:20AM

CIO Playbook 2026​ The Race for Enterprise AI

AI is no longer measured by efficiency gains alone—it is now a critical driver of business growth, competitive advantage, and reinvention. Today’s CIOs are under increasing pressure to demonstrate how AI delivers tangible business outcomes, moving beyond technical success to real, measurable impact across the organisation.

James Robertson

James Robertson

Sales Director, Public Sector & Enterprise, Lenovo

9:30AM

Open Discussion: Scaling AI for Enterprise Impact: From Strategy to Secure Execution

AI impact requires more than strategy—it demands secure, scalable execution. This discussion session highlights how organisations can align business priorities, modernise data and infrastructure, and embed governance to deliver trusted AI at scale.

Linus Lai

Linus Lai

Group Vice President, Research, IDC

James Robertson

James Robertson

Sales Director, Public Sector & Enterprise, Lenovo

10:05AM

Summary and Close

Linus Lai

Linus Lai

Group Vice President, Research, IDC

Speakers

Linus Lai

Linus Lai

Group Vice President, Research

IDC

Read bio

James Robertson

James Robertson

Sales Director, Public Sector & Enterprise

Lenovo

Read bio

Partners

                 

Venue

Sheraton Grand Sydney Hyde Park

161 Elizabeth St, Sydney NSW 2000, Australia

Located in the Sydney CBD opposite Hyde Park, it offers luxury amenities with comfort for an executive roundtable session.

Knowledge Hub / Vivek Ganesh

Partner Spotlight

Vivek Ganesh
RVP
OutSystems India

Partner Spotlight

The Enterprise AI Reality Check: 6 Predictions for 2026

Based on conversations with several CIOs about their biggest challenges (and hopes) as they look ahead to 2026, I learned some unexpected things along the way. What I learnt challenges much of the prevailing wisdom from AI prognosticators.

 

Here are 10 surprising, and perhaps controversial, predictions based on these conversations that point to where our industry may truly be headed.

 

1. AI will increase complexity before it reduces it

 

What most people aren’t seeing today is the potential for AI to help with the harder stages of the enterprise software development lifecycle. They are overindexing on the build phase, but creating bottlenecks downstream in quality control, security, maintenance, and updates.

 

2026 will be the year IT teams turn their focus to containing and auditing ungoverned AI-generated apps and agents. Those who use AI to systematically govern their full portfolio will be the first to realize the true potential of AI-driven development.

 

2. Most AI agents will fail in production

 

Demos of autonomous AI agents are spectacular. Unfortunately, these demos crumble when they meet an enterprise production environment, and this is likely to get worse soon.Most autonomous agents will need tight orchestration layers and human-in-the-loop controls. In other words, they’ll need new platforms. Autonomy only works in fantasy. It’s orchestration that wins in reality.

 

3. The enterprise winners will be platforms, not models

 

The days when every company was racing to build their own LLM have passed. While a handful of big LLMs will dominate the mass market for consumer AI, enterprise leaders will be able to choose among more specialized options and even develop agents that connect to more than one LM for different scenarios. Owning the model matters less than owning the lifecycle.

 

4. AI will shift value from feature delivery to system integrity

 

The risks (data leaks, hallucinations, policy violations etc.)of unmanaged AI running rampant without enterprise-grade guardrails are too great to ignore.The ability to ensure correctness at scale becomes more important than the ability to generate software. The market will reward platforms that can ensure AI-driven systems behave as intended, every single time.

 

5. Shadow AI will become a bigger problem than shadow IT ever was

 

The fact that non-technical users can generate production code and workflows with LLMs is far more dangerous than unauthorized SaaS adoption. Without any oversight at all, a business user with an unvetted LLM can generate production-level code, create autonomous workflows, or exfiltrate sensitive enterprise data. This risk is insidious, viral, and incalculable.

 

6. CIOs will spend more on control and governance, not less

 

AI promises deflation even in the face of inference costs. But the reality will be re-inflation of IT budgets to offset New security layers, New model oversight, New compliance obligations, and New skills

 

The real opportunity

 

To recap, the future of software development is one where:

 

– AI accelerates output

– SaaS and bundled software lose their grip on the enterprise

– Architecture, security, and governance get harder

– Platforms that manage complexity gain relevance

– Enterprise value shifts from code to lifecycle management

– Non-tech companies will manage a growing portfolio of software IP

– The future belongs to platforms that help them bring order to AI-generated chaos.

——会议日程(2026AI峰会)

会议日程

会议日程

——会议日程(2026AI峰会)

One Day Event

1:00PM

峰会签到及现场交流

2:00PM

AI超级周期,谁主沉浮

霍锦洁

霍锦洁

中国区总裁, IDC

2:05PM

企业级AI落地实践与智能体的商业价值释放

钟振山

钟振山

中国集团副总裁, IDC

2:20PM

湖库一体 AI 数据库助力企业人工智能应用落地

韩富晟

韩富晟

首席架构师及产品总经理, OceanBase

2:40PM

打通港口智能化“高速通道”,天津港从自动化迈向全域协同实践分享

吴强

吴强

副总裁, 天津港股份有限公司

3:00PM

智赋郑政·数启新程——以AI全域赋能打造郑州政务协同高效新范式

刘晓东

刘晓东

市场总监, 数字郑州科技有限公司

3:20PM

Al可信计算(AITC)构筑行业AI安全新范式

移动云AI可信计算(AITC)以硬件级可信执行环境为安全底座,将机密计算能力原生嵌入AI训练集群与推理服务,构筑行业AI安全新范式;业界首创深度融合物联网AI-eSIM与互联网超级SIM,构建全栈国产、端云协同的芯片级全链路安全体系,覆盖政务、工业、医疗、科研等数据敏感场景。

孟令坤

孟令坤

计算产品部 副总经理, 中国移动云公司

3:40PM

茶歇 & 自由交流 & 展位参观

4:00PM

铂金论坛 – 如何破解AI落地“最后一公里”

铂金论坛 A

3:55PM4:00PM

论坛开场 & 抽奖环节开启

4:00PM4:15AM

咪咕音乐智变时刻: 双轮驱动的数智重构探索实践

付强

付强

副总经理, 咪咕音乐

4:15PM4:30PM

AI赋能医学教育-iMEDSchool AI医学院介绍

王军

王军

联合创始人&副总裁, 卫美健康

4:50PM

黄金论坛 – AI 如何“长”在行业里?

黄金论坛 A

4:30PM4:40PM

从数字孪生到工业 AI 操作系统,让智能走进物理世界

张劲松

张劲松

数字化工业集团 高级副总裁, 西门子中国有限公司

4:40PM4:50PM

数智添翼 · 医疗焕新——模数共振驱动医院高质量发展

金铸

金铸

医疗健康事业部技术总监, 东软集团

4:50PM5:00PM

多云统一Agent平台建设

刘向阳

刘向阳

CISO兼软件工程院院长 欧洲科学院院士 IEEE Fellow & IET Fellow, 美的集团

5:00PM5:10PM

智启千业・AI 赋能产业商业价值跃升

刘远天

刘远天

中国区数字化创新负责人, 汉高(中国)投资有限公司

5:10PM

高峰对话:适者生存2.0-一把A从工具变为“劳动力”

王吉平

王吉平

全球及中国区副总裁, IDC

万彬

万彬

COO, 上海擎朗智能科技股份有限公司

张志琦

张志琦

董事长兼CEO, 常州微亿智造科技股份有限公司

吴俊毅

吴俊毅

通用业务部副总裁, 智元创新(上海)科技股份有限公司

5:50PM

自由交流 & 展位参观

5:50PM

展位参观 & 自由交流

6:30PM

颁奖晚宴

—— 会议日程(2026CIO上海站)

会议日程

会议日程

—— 会议日程(2026CIO上海站)

One Day Event

8:30AM

注册签到及展位参观

9:30AM

平行论坛

专题论坛 A:人工智能与数据

9:30AM9:35AM

IDC分析师开场演讲

9:35AM9:55AM

AI赋能全域营销与精准获客新范式

9:55AM10:15AM

大模型赋能销售全流程管理 驱动业绩突破

10:15AM10:35AM

全渠道智能服务升级 打造极致客户体验

10:35AM10:45AM

CIO演讲: AI 重构客户全生命周期

专题论坛 B:基础设施与研发运营革新

9:30AM9:35AM

IDC分析师开场演讲

周震刚

周震刚

中国副总裁, IDC

9:35AM9:55AM

AI大模型重塑研发设计与工程创新全链路

9:55AM10:15AM

流程挖掘驱动的业务流程优化与超级自动化实践

10:15AM10:35AM

AI 驱动数智化人才管理与组织协同

10:35AM10:45AM

CIO演讲: AI Agent驱动下的企业基础架构重构

专题论坛 C: AI智能体与数据安全

9:30AM9:35AM

IDC分析师开场演讲

钟振山

钟振山

中国集团副总裁, IDC

9:35AM9:55AM

AI与智能体平台:构建企业级AI Agent平台

9:55AM10:15AM

AI需求预测与智能仓储驱动的供应链全链路协同

10:15AM10:35AM

数据隐私保护合规治理与AI驱动的安全运营

10:35AM10:45AM

CIO演讲: 企业级AI的范式跃迁与中国机遇

专题论坛 D: AI 赋能金融科技与智能体落地

9:30AM9:35AM

IDC分析师开场演讲

武连峰

武连峰

中国副总裁兼首席分析师, IDC

9:35AM9:55AM

Agentic AI 在金融行业的最新应用与实践

9:55AM10:15AM

智慧金融:从“产品”到“能力”的场景渗透

10:15AM10:35AM

AI治理:AI时代的金融风险防控与安全治理

10:35AM10:45AM

CIO演讲:金融行业AI转型:从智能工具到智能体AI全面升级

11:00AM

平行论坛

铂金论坛 A :全域增长与客户体验

11:00AM11:15AM

营销销售一体化 AI 创新实践与业绩增长

11:15AM11:30AM

AI赋能人力资源管理与组织效能提升

11:30AM11:45AM

全渠道客户增长与营销解决方案

11:45AM12:05AM

IDC颁奖典礼:智能营销领军者 | 销售增长领军者 | 优质客服领军者 | 人才与工作领军者

12:05AM12:10AM

论坛互动抽奖环节

铂金论坛 B:技术创新与研发供应链智能化

11:00AM11:15AM

AI 打造企业核心产品竞争力

11:15AM11:30AM

超级自动化与智能决策驱动的企业运营提效实践

11:30AM11:45AM

AI赋能人力资源管理与组织效能提升

11:45AM12:05AM

IDC颁奖典礼:卓越运营领军者 | 工程与研发领军者 | 数据智能与治理领军者 | 数智基础设施领军者

12:05AM12:10AM

论坛互动抽奖环节

铂金论坛 C:智能运营与安全风控

11:00AM11:15AM

打造敏捷、韧性、可视化的现代供应链体系

11:15AM11:30AM

AI驱动的智能财务决策与资金效率优化

11:30AM11:45AM

AI赋能安全运营中心与威胁智能狩猎

11:45AM12:05AM

IDC颁奖典礼:安全与风控领军者 | 智慧供应链领军者 | 智慧财务领军者 | AI与智能体平台领军者

12:05AM12:10AM

论坛互动抽奖环节

铂金论坛 D:AI 赋能金融科技与智能体落地

11:00AM11:15AM

AI原生银行的探索与实践

11:15AM11:30AM

跨境金融科技:数字货币结算与合规跨境通道

11:30AM11:45AM

监管科技从“合规”转向 “主动风控”

11:45AM12:05AM

2026 IDC中国金融行业AI创新案例50 颁奖典礼

12:05AM12:10AM

论坛互动抽奖环节

12:10PM

午餐及展位参观

2:00PM

开场致辞:从数字化转型到 AI 转型

霍锦洁

霍锦洁

中国区总裁, IDC

Keynote
2:10PM

驾驭AI超级周期 – 智能经济时代的应对策略

当前我们正迎来“AI超级周期”,其核心是“基础建设”与“规模应用”的双向驱动。2029年将成为这一周期的引爆点,Al支出从试验走向规模,市场实现数量级跃升,收入从脆弱走向稳固—嵌入式、可重复、连接业务成果。制约因素不再是需求,而是执行能力,需求已在,关键是帮助企业跨越从试验到规模化的那道坎。

武连峰 | IDC

中国副总裁兼首席分析师

Read Bio
武连峰
2:30PM

Artificial Senses: Designing New Perceptions 人工感官:重塑新感知

Neil Harbisson

Neil Harbisson

The World’s First Officially Recognized Human “Cyborg”

2:50PM

IDC 对话 Neil Harbisson

Alessandro Perilli

Alessandro Perilli

Vice President, Enterprise AI Strategies, IDC

Neil Harbisson

Neil Harbisson

The World’s First Officially Recognized Human “Cyborg”

3:00PM

智算原生,赋能智能体AI规模化落地

3:20PM

云网融合,构建智能体AI全场景服务生态

3:40PM

打造企业级智能体AI创新引擎

4:00PM

OPX 高峰对话:从百人团队到 OPX 单人军团:智能体AI重构下一代企业最小组织单元

4:30PM

AI驱动的业务流程再造

4:50PM

生成式AI与场景创新实践

5:10PM

高峰对话:AI转型下的CIO角色转变:激活业务场景智能,重塑业务增长引擎

武连峰

武连峰

中国副总裁兼首席分析师, IDC

5:40PM

IDC颁奖典礼:年度未来企业领军者 | 未来产业之星 | 可持续发展领军者

武连峰

武连峰

中国副总裁兼首席分析师, IDC

6:00PM

峰会互动抽奖环节

6:05PM

嘉宾交流 & 峰会闭幕

6:05PM

晚宴签到

6:30PM

颁奖晚宴

8:20PM

活动结束

中国CIO峰会

迈向代理式AI的新纪元

当前,中国人工智能市场发展迅猛,已成为AI领域的重要力量。IDC数据显示,2024年中国生成式AI占AI市场投资总规模的18.2%。随着生成式AI技术的快速发展,2029年生成式AI投资占比将达到41.1%,投资规模超450亿美元,五年复合增长率为48.0%。IDC认为,生成式AI正持续深化其在多个垂直领域的应用价值,推动行业自动化与智能化进程迈向新阶段。企业员工可借助生成式AI实时生成结构化业务洞察、自动完成多模态工作报告合成,提升战略决策效率;开发人员能够利用其实现智能代码重构、系统架构辅助设计、自动化漏洞修复,提升研发效能与软件可靠性;在工业、医疗、金融等垂直领域,生成式AI已可协助生成高精度设计仿真方案、辅助临床诊断推理、自动化生成合规风控报告,驱动行业创新与经济效益提升。

 

2026年IDC中国CIO系列峰会将以“迈向代理式AI的新纪元”为主题,深度解构其演进趋势与企业落地路径。本次峰会将于深圳、上海两地举办,预计汇聚超过1,000位 CIO、技术决策者、国际专家及前瞻型解决方案提供商,共同探索智能体驱动型企业的新范式。

顾问团成员

陈壁环

陈壁环

数据科技部副总经理,联席技术负责人

平安理财

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韩方

韩方

安全与隐私部总经理

OPPO广东移动通信有限公司

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江碧才

江碧才

科技创新与数智化部副部长

广东省广晟控股集团有限公司

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唐恺

唐恺

高级副总裁、CMO

顺丰科技

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杨辉

杨辉

数智发展中心总经理

越秀地产

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杨鸥 博士

杨鸥 博士

首席技术官

中国海外发展有限公司

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张成奇 教授

张成奇 教授

数据及人工智能学系讲座教授 深圳研究院院长,IEEE Fellow, ACS Fellow

香港理工大学

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周勇

周勇

CIO

通威股份有限公司

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专家观点

聆听思想领袖、前瞻性CIO以及知名演讲嘉宾,如何在中国重新定义技术、领导力与创新。

9:40 am

工业AI驱动的中国制造新范式——从工业软件到工业智能体

本次演讲将深入探讨工业AI驱动下中国制造业的新范式转型,重点分析工业软件向智能体(AI Agent)演进的路径与价值。我们将剖析AI如何赋能研发、生产、运维等核心环节,实现从数据驱动到智能决策,推动智能体与MES、ERP等系统深度融合。演讲还将展望平台化基础设施、智能体规模化落地及其对制造业竞争力的重塑作用。

杜雁泽 | IDC中国

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2026 IDC中国工业AI领航者大奖

2026 IDC中国工业AI领航者大奖主要面向工业企业用户,遴选在数字化和智能化转型方面成效显著,能够引领行业方向的优秀企业和项目。大奖已经连续开展多年,遴选表彰了上百家数字化转型领先的工业企业及优秀项目。

  • 征集时间:即日起至3月20日截止
  • 申报主体:工业企业用户;技术供应商可代客户提名参与
  • 公布时间:5月15日 ,2026 IDC中国CIO峰会深圳站

2025年深圳CIO峰会精彩回顾

合作伙伴

分析师洞察

您可以阅读 IDC 分析师、生态合作伙伴及行业用户演讲嘉宾带来的深度文章,从中获取启发。此外,还能深入了解行业专家对最新科技趋势的解读、真实标杆案例的分析,以及引领数字未来发展的前瞻性洞见。

分析师焦点

世界正迎来数字基础设施的关键时刻。人工智能已从实验阶段走向普及,随之而来的是一种新的运营范式——在这种范式下,智能体(agent)而非应用程序成为数字价值创造的主要引擎。这是智能体 AI 时代的曙光,而其成功最重要的前提是:强大、智能且可扩展的基础设施。

Matt Eastwood
| IDC
全球研究高级副总裁
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AI & Data Summit Malaysia 2026

AI & Data Summit Malaysia 2026

Unlocking the Power of Agentic AI​

8 Oct 2026 Hilton Kuala Lumpur, Malaysia
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AI & Data Summit Malaysia 2026 is Malaysia’s flagship event for business and technology leaders navigating the next phase of the nation’s digital transformation. Bringing together enterprises, policymakers, and innovators, the summit takes place at a pivotal moment as AI adoption accelerates and new regulations reshape how data and AI are governed across industries.

​As global geopolitical dynamics and supply chain shifts redefine technology access and risk, Malaysian organizations are placing growing emphasis on AI sovereignty, ensuring that data, AI models, and digital infrastructure are secure, trusted, and aligned with national and regional requirements. For enterprises, this means rethinking AI strategies to balance innovation with data residency, security, and long-term resilience.

In 2026, more than a third of Malaysian organizations are expected to use synthetic data to advance AI development while protecting sensitive and regulated information. At the same time, industries such as financial services, healthcare, manufacturing, and the public sector are accelerating the adoption of real-time analytics, intelligent automation, and AI-powered decision-making to drive efficiency and competitiveness.

 

AI & Data Summit Malaysia 2026 offers attendees practical insights, real-world use cases, and expert perspectives on building AI-ready organizations that are compliant, resilient, and future-ready. Through keynotes, panels, and technology showcases, participants will gain the knowledge and connections needed to confidently navigate Malaysia’s AI and data landscape and unlock the next wave of sustainable, AI-driven growth.

IDC's Predictions

Market Growth & Infrastructure

Malaysia’s datacenter market is projected to grow at a 17% CAGR (2023–2028), with total installed power capacity rising from 468MW in 2023 to over 1,000MW by 2028, driven by demand for digital infrastructure, cloud services, and AI workloads.

AI & Data Management Adoption

By 2026, expanded data and privacy regulations will have pushed 35% of APEJ enterprise organizations to rely on synthetic data for AI tools.

Sectoral & Use Case Highlights

Financial services, manufacturing, oil & gas, and public sector are leading verticals, with healthcare emerging.

Regulatory & Governance Trends

Malaysia is advancing amendments to its PDPA, expected to introduce mandatory breach notifications, stricter cross-border data transfer rules, and higher penalties for noncompliance.

Expert Perspectives

Hear from thought leaders, visionary CIOs, CDOs and experienced speakers redefining technology,
leadership, and innovation in Malaysia.

9:05 am

IDC Keynote: The AI Moment: Strategies for CIOs

Discover how autonomous enterprises can unlock productivity gains through self optimizing AI systems and intelligent automations.

Dr. Christopher Lee Marshall | IDC

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Dr. Christopher Lee Marshall

Our Partners

Venue

Hilton Kuala Lumpur

Grand Ballroom, Level 6

3 Jalan Stesen Sentral, Kuala Lumpur, 50470, Malaysia

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Knowledge Hub / Matt Eastwood

Analyst Spotlight

Matt Eastwood
SVP, WW Research
IDC

Analyst Spotlight

AI Infrastructure: The Foundation of the Agentic Era

The world is entering a defining moment for digital infrastructure. Artificial intelligence has moved from experimentation to ubiquity, and with it, a new operational paradigm is taking shape — one where agents rather than applications become the primary engines of digital value creation. This is the dawn of the agentic AI era, and its success depends on one thing above all else: robust, intelligent, and scalable infrastructure.

 

From Automation to Autonomy

For decades, infrastructure strategy has focused on efficiency – making IT faster, cheaper, and more reliable. But AI is forcing a step change. IDC’s Worldwide IT Industry 2026 FutureScape predicts that by 2028, nearly half of all IT product and service interactions will be mediated by AI agents. These systems are not just automating tasks; they are reasoning, collaborating, and acting in context – continuously learning from data to improve business outcomes.

 

Supporting this shift requires infrastructure that can think for itself. IDC’s Future of Digital Infrastructure research shows that by 2029, 70% of new operating systems will ship with built-in infrastructure operations agents and model context servers to drive efficiency, security, and sustainability. In short, we are moving from systems that are operated to systems that operate themselves.

 

AI Factories and the Rise of Private Intelligence

The massive growth of generative and agentic AI has triggered a global infrastructure renaissance. Enterprises and hyperscalers alike are building “AI factories”. These are the next-generation data centers purpose-built for high-density and GPU-driven workloads. AI-ready data center spending in the U.S. has tripled in three years and forecast anticipate that demand for AI-ready capacity will grow 33% annually through 2030.

 

IDC’s recent Private AI Infrastructure Systems MarketScape underscores why this matters: as AI workloads scale, organizations need hybrid models that balance performance, cost, and control. Leaders like Dell Technologies, HPE, and Cisco are responding with turnkey private AI systems that integrate compute, storage, networking, and model management software into secure, cloud-consistent platforms. These systems form the backbone of enterprise AI, where data sovereignty, security, and latency matter most.

 

The Power, Cooling, and Connectivity Challenge

The scale of AI infrastructure buildout is also testing physical limits. High-density GPU clusters can draw tens of kilowatts per rack, driving record levels of power demand and forcing innovation in liquid cooling and grid optimization. IDC predicts that by 2030, 70% of new liquid-cooled deployments will adhere to open standards, improving compatibility and reducing deployment costs by one-third. The infrastructure bottleneck is shifting from compute to power and cooling, making sustainability not just an ESG issue but an operational imperative.

 

Toward the Autonomous Enterprise

Agentic AI doesn’t live in isolation – it depends on a digital fabric that spans datacenters, clouds, and edge environments. By 2027, IDC expects 80% of enterprises to deploy distributed edge infrastructure to support low-latency AI inferencing, and 75% will use interconnection-oriented networks to secure and orchestrate AI workloads. This fusion of automation, intelligence, and interconnection is paving the way toward autonomous IT operations, where humans remain in the loop but not in the way.

 

Why It Matters Now

CIOs in Australia and beyond are standing at the intersection of two transformations: the modernization of infrastructure and the emergence of the agentic enterprise. The winners will be those who view AI infrastructure not as a cost center but as a catalyst – the intelligent backbone that allows agents, data, and humans to collaborate seamlessly.

At the IDC CIO Summit Australia 2026, we’ll explore how forward-thinking leaders are reimagining infrastructure for this new era by building the secure, sustainable, and scalable foundations of an intelligent enterprise. Because in the age of agentic AI, infrastructure isn’t just the platform for innovation. It is the innovation.