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Matt Eastwood
SVP, WW Research
IDC
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 the 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 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.
Position your brand at the forefront of the region’s premier CIO community. This results-driven platform is designed to maximize engagement and ROI for solution providers.
Discover thought-provoking articles from IDC analysts, strategic partners, and end-user speakers. Explore expert viewpoints on the latest tech trends, real-world transformation stories, and forward-looking insights shaping the digital future.
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.
Sandra Ng
Senior Vice President, WW and APJ Research, IDC
11:30 am – 11:35 am
11:35 am – 11:45 am
11:45 am – 11:55 am
11:55 am – 12:05 pm
12:05 pm – 12:15 pm
11:30 am – 11:35 am
11:35 am – 11:45 am
11:45 am – 11:55 am
11:55 am – 12:05 pm
12:05 pm – 12:15 pm
Uncover breakthrough insights from IDC experts and exclusive sessions featuring influential voices transforming technology and leadership today
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Sandra Ng is Group Vice President and General Manager for IDC Asia/Pacific including Japan (APJ) research. Based in Singapore, she is responsible for thought leadership and deep-dive insights and advisory content on IDC’s 3rd Platform disruptive pillars of Cloud, Mobility, Big Data Analytics, and Social along with C-suite (CIO, CMO, CEO, COO, CFO and CxO) research and tech buyer engagements as well as the Service Provider industry. In her role, she advises both tech buyers (CIO and LoB) and IT suppliers/enablers across the ICT marketplace.
As IT becomes the epicenter of our economy, IDC sees the intersection of Digital Transformation (DX) and the 3rd Platform’s Innovation Stage. Here is where we see governments, industries and consumers consuming the four technology pillars as well as increasingly the six innovation accelerators (Internet of Things or IoT, cognitive computing, 3D printing, robotics, next-gen security, and augmented/virtual reality [AR/VR]). To this end, IDC created a portfolio of tech buyer/end-user research and methodology frameworks, the IDC DecisionScapes, to provide targeted advice in an increasingly complex and fast-paced marketplace.
Sandra leads a team of IDC’s senior analysts with collective expertise across the ICT industry. This team leverages the core research created by IDC’s Asia/Pacific Domain Research Group, through contextualizing the content and increasing its relevance for clients and their businesses. This value creation process enhances the proposition IDC brings to strategy, planning and market intelligence stakeholders. This unique delivery of research content also brings with it IDC’s thought leadership analysis and business executive insights for marketing, product management, sales and strategic leadership teams within the client’s organization.
Along with the Domain Research team, the Practice Group extensively collaborates with IDC’s Integrated Marketing Programs (IMP), IDC’s Industry Insights, and IDC’s Consulting organizations to provide a comprehensive scope of intelligence services to meet the diverse needs of today’s dynamic and complex technology marketplace.
From research to IDC’s customized go-to-market services (GMS) to executive roundtables and end-user events, Sandra and her team provide independent and insightful perspectives of market conditions, assisting clients in making informed business decisions and achieving business goals.
Sandra’s role also extends beyond quality research content delivery. She plays a key role in driving forward-looking assessment and analysis, often sharing her market insights and predictions to Asia Pacific management teams and heads of strategy within her customer base. She moderates and engages extensively with the client communities, including both traditional technology buyers and increasingly influential line of business heads often leveraging the IDC DecisionScape methodologies and deep-dive research.
Sandra has been in the Information and Communications Technology (ICT) advisory and consulting industry for 20 years. While her technology research expertise is vast and diverse, she is best known in the industry for her Telecommunications knowledge and opinions within the Asia Pacific region. Her ability to discuss broad, strategic and converged issues across the ICT industry enables her to engage with many C-level management teams and technology executives in Asia.
Prior to joining IDC, Sandra was with Gartner/Dataquest for more than four years, where she was managing a variety of IT research projects ranging from midrange systems to peripherals. In addition to base unit research, she was actively leading in channel and consulting work.
Sandra has established a keen following within the Asia Pacific media fraternity and is frequently quoted in leading regional business and trade publications such as the Asian Wall Street Journal, Computer World, Telecom Asia, tele.com and Wireless World, and also in locally-based media such as Singapore’s Business Times and Hong Kong’s South China Morning Post. She is often invited to present IDC’s opinions on CNBC Asia, Bloomberg and Channel News Asia. Sandra is also a regular keynote speaker at global and regional ICT conferences.
Fluent in English and Mandarin, Sandra graduated from National University of Singapore with a Bachelor of Business Administration degree.
Daniel-Zoe Jimenez is Associate Vice President for IDC’s Asia/Pacific region, based in Singapore. He leads the regional Digital Transformation (DX), Future Enterprise and SMB research practices.
Daniel provides strategic advisory services to the C-Suite (CIOs, CDOs, CMOs, CHROs and CFOs) on how to develop and leverage new business, technology (e.g. AI and Analytics, Cloud, Mobility, IoT) and operating models to become more competitive. He delivers workshops and strategic engagements for customers across Asia/Pacific such as assessing maturity, identifying gaps, crafting strategies and technology roadmaps, determining ecosystem readiness, metrics (KPIs), and skills required to drive growth and profitability.
Daniel leads a team of analysts across Asia/Pacific who provide thought leadership research and insights to technology buyers, suppliers and government institutions on the impact that the evolving market changes, and the new and established technologies have on their businesses.
Earlier in IDC, Daniel was the co-lead for the Big Data/Analytics research practice. Today, he also has a leading role in the Asia/Pacific customer experience (CX), marketing, commerce and broader enterprise applications (e.g. ERP, HCM and CRM) research.
Daniel is a frequent speaker at IDC and client events, as well as in seminars in the region; and is often quoted in business and IT publications.
Daniel has more than 20 years of international experience with large organizations worldwide, from consulting to ICT and market research. Prior to joining IDC, Daniel worked for four years with Fujitsu Services handling presales and marketing roles. He also held a global role with Accenture for almost four years in the marketing and presales groups within the Financial Services Group. At Datamonitor’s London office, Daniel held the positions of research manager and business analyst, covering the internet, telco and mobility markets.
Daniel holds a Bachelor in Philosophy degree with focused on Science, Mind, and Language — courses in Psychology and Anthropology from the Autonomous University of Barcelona, Spain.
Linus Lai is a member of the Asia/Pacific Software and Services Research Group. He has more than 20 years of IT experience in the region. Based in Sydney, Australia, he has experience in several cloud, software, and services programs in Asia/Pacific excluding Japan (APEJ), which covers a wide range of technology and services markets across 13 countries.
In this role, he is responsible for providing insights and analyses in enterprise adoption, integration, and management of these solutions. This includes sourcing strategies, vendor selection, and identifying emerging trends in business and technology solutions across technology buyers in the region. Linus is a founding member of IDC Asia/Pacific’s Emerging Technology Advisory Council and is a recipient of numerous awards for country, regional, and quality research contributions. In his previous role as head of research in Southeast Asia, he developed and grew IDC’s presence in the region.
Linus is frequently quoted in various publications and media outlets and is a regular presenter at industry forums, client events, and strategic workshops. Prior to joining IDC, Linus worked with a large outsourcing service provider that focused on retail banking solutions.
Linus holds a master of science degree from the University of Lincoln, United Kingdom.
Stephanie Krishnan is Research Director for IDC Manufacturing Insights, responsible for Industry 4.0 research. In this role, she responsible for the production, development and growth of the IDC Manufacturing Insights program in the Asia Pacific region. In this role, Stephanie will be delivering a research agenda that will appeal to technology buyers and vendors both in terms of subscription products and custom research in Industry 4-0 looking across ecosystems, value chains and supply chains of industrial industries.
Stephanie has more than 20 years’ experience in manufacturing and supply chain, with a diverse background that complements her years in academia and professional development consulting in multiple countries such as Australia, Singapore, Malaysia, UAE and Hong Kong among others. in addition to this, she advises startups in the areas of process automation and technology adoption, particularly in supply chain management. Stephanie has been most recently been conducting economic and supply chain market research as part of consulting in the Middle East.
Based in Singapore, Abhishek is an associate research director in the area of Asia/Pacific experience-orchestrated business and technologies. He is responsible for driving the customer experience (CX), marketing technology (martech), and chief marketing officer (CMO) research across Asia/Pacific, providing advice to both tech buyers and vendors. He has spent more than 20 years working in digital transformation (DX) across numerous industries from banking to founding their own tech start-up.Throughout his career, Abhishek has prioritized customer service and experience. From developing go-to-market (GTM) strategies for new technologies, such as virtual reality (VR), to liaising with developers to communicate client requirements and testing system upgrades prior to deployment, he leverages his multifaceted experience to bring a unique, wide-ranging, and grounded perspective to experience-related research and consulting.
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In Partnership With
Construction and manufacturing organizations are moving beyond isolated automation initiatives toward AI-enabled operational orchestration. As projects become more distributed, production environments more complex, and supply chains more volatile, enterprises are increasingly looking at how AI can coordinate workflows, optimize execution, and support faster operational decision-making across teams, assets, and business functions.
IDC research highlights that organizations across Asia/Pacific are evolving from siloed AI pilots toward more integrated operational AI capabilities. In manufacturing, AI-driven scheduling, intelligent workflow orchestration, operational cybersecurity, and real-time decision support are becoming increasingly important as enterprises look to improve agility, resilience, and execution efficiency across complex operating environments.
For construction and manufacturing leaders, the challenge is no longer whether to adopt AI, but how to scale it effectively across execution-heavy environments. This requires connected work management platforms, integrated operational data, governance frameworks, and visibility across projects, plants, field teams, subcontractors, and supply ecosystems.
This roundtable, organised by IDC and Smartsheet, will explore how enterprises are evolving from workflow automation toward AI-driven operational coordination and what it takes to build connected, intelligent, and governed work management environments across complex construction and manufacturing operations.
Stephanie Krishnan
Associate Vice President, Research, IDC
Joe Kristo
Director, Solutions Engineering, Smartsheet
Stephanie Krishnan is Research Director for IDC Manufacturing Insights, responsible for Industry 4.0 research. In this role, she responsible for the production, development and growth of the IDC Manufacturing Insights program in the Asia Pacific region. In this role, Stephanie will be delivering a research agenda that will appeal to technology buyers and vendors both in terms of subscription products and custom research in Industry 4-0 looking across ecosystems, value chains and supply chains of industrial industries.
Stephanie has more than 20 years’ experience in manufacturing and supply chain, with a diverse background that complements her years in academia and professional development consulting in multiple countries such as Australia, Singapore, Malaysia, UAE and Hong Kong among others. in addition to this, she advises startups in the areas of process automation and technology adoption, particularly in supply chain management. Stephanie has been most recently been conducting economic and supply chain market research as part of consulting in the Middle East.
Joe brings over 25 years of experience helping organisations transform how they work — from business intelligence and analytics to the modern era of intelligent work management. As Director of Solution Engineering for Asia Pacific and Japan at Smartsheet, he partners with businesses across the region to unlock the power of AI-driven work orchestration, enabling teams to move faster, collaborate smarter, and deliver more.
Room: Capiz Room, Level 3
30th Street, corner 5th Ave, Taguig, 1634 Metro Manila, Philippines
In Partnership With
Enterprises across Asia Pacific are entering a new phase of AI maturity, one where AI is no longer confined to analytics or automation but is increasingly embedded into decision-making itself. According to IDC, organizations that scale AI successfully are those that integrate it deeply into operational and strategic workflows, rather than treating it as a standalone capability.
This shift is giving rise to what can be described as a ‘Digital Executive Layer’ a new decision-making fabric embedded across the enterprise. In industries such as BFSI, manufacturing, and healthcare, this is already becoming tangible. For instance, in banking, AI is moving into core decision workflows like corporate lending, where agentic systems are expected to streamline approvals and improve portfolio health.
In healthcare, the shift is even more profound. IDC highlights that 75% of providers in Asia-Pacific expect greater productivity gains from agentic AI than traditional GenAI, with adoption expanding into real-time clinical decision support and autonomous workflows. This reflects a broader transition from reactive to predictive and proactive care models, where AI continuously informs and adjusts decisions.
Meanwhile, in manufacturing, AI is evolving from predictive analytics to autonomous, data-driven operations, powered by cloud and connected assets. The next phase of industrial AI will depend on integrating massive data streams, hybrid cloud platforms, and intelligent automation, enabling factories to self-optimize and adapt in real time.
IDC in collaboration with NTT DATA & Google Cloud is organizing this roundtable to explore this critical topic and pose a defining question to today’s C-suite: Are we simply augmenting executives with AI, or are we building a parallel, intelligent layer that will fundamentally reshape how decisions are made?

Sandra Ng
Senior Vice President, WW and APJ Research, IDC
As AI evolves from automation to autonomous decision intelligence, enterprises are creating a new “digital executive layer” that augments strategic and operational decision-making. This keynote explores how organizations can responsibly scale agentic AI across business functions to drive agility, resilience, and measurable business outcomes.
Sandra Ng
Senior Vice President, WW and APJ Research, IDC
Organizations are moving beyond AI experimentation toward embedding intelligent agents into everyday workflows. This session examines how enterprises can operationalize agentic AI to accelerate decisions, improve productivity, and enable real-time business responsiveness.
Nathan Goh
Head, Google Workspace Customer Engineering, APAC, Google Cloud
Hayley Haupt
Advisory Partner, NTT DATA
As AI becomes increasingly embedded into enterprise operations, organizations must redefine the balance between human judgment and autonomous intelligence. This interactive discussion will explore how leaders can build trust, governance, and organizational readiness while embracing AI-driven decision ecosystems.
Sandra Ng
Senior Vice President, WW and APJ Research, IDC
Nathan Goh
Head, Google Workspace Customer Engineering, APAC, Google Cloud
Hayley Haupt
Advisory Partner, NTT DATA
Sandra Ng is Group Vice President and General Manager for IDC Asia/Pacific including Japan (APJ) research. Based in Singapore, she is responsible for thought leadership and deep-dive insights and advisory content on IDC’s 3rd Platform disruptive pillars of Cloud, Mobility, Big Data Analytics, and Social along with C-suite (CIO, CMO, CEO, COO, CFO and CxO) research and tech buyer engagements as well as the Service Provider industry. In her role, she advises both tech buyers (CIO and LoB) and IT suppliers/enablers across the ICT marketplace.
As IT becomes the epicenter of our economy, IDC sees the intersection of Digital Transformation (DX) and the 3rd Platform’s Innovation Stage. Here is where we see governments, industries and consumers consuming the four technology pillars as well as increasingly the six innovation accelerators (Internet of Things or IoT, cognitive computing, 3D printing, robotics, next-gen security, and augmented/virtual reality [AR/VR]). To this end, IDC created a portfolio of tech buyer/end-user research and methodology frameworks, the IDC DecisionScapes, to provide targeted advice in an increasingly complex and fast-paced marketplace.
Sandra leads a team of IDC’s senior analysts with collective expertise across the ICT industry. This team leverages the core research created by IDC’s Asia/Pacific Domain Research Group, through contextualizing the content and increasing its relevance for clients and their businesses. This value creation process enhances the proposition IDC brings to strategy, planning and market intelligence stakeholders. This unique delivery of research content also brings with it IDC’s thought leadership analysis and business executive insights for marketing, product management, sales and strategic leadership teams within the client’s organization.
Along with the Domain Research team, the Practice Group extensively collaborates with IDC’s Integrated Marketing Programs (IMP), IDC’s Industry Insights, and IDC’s Consulting organizations to provide a comprehensive scope of intelligence services to meet the diverse needs of today’s dynamic and complex technology marketplace.
From research to IDC’s customized go-to-market services (GMS) to executive roundtables and end-user events, Sandra and her team provide independent and insightful perspectives of market conditions, assisting clients in making informed business decisions and achieving business goals.
Sandra’s role also extends beyond quality research content delivery. She plays a key role in driving forward-looking assessment and analysis, often sharing her market insights and predictions to Asia Pacific management teams and heads of strategy within her customer base. She moderates and engages extensively with the client communities, including both traditional technology buyers and increasingly influential line of business heads often leveraging the IDC DecisionScape methodologies and deep-dive research.
Sandra has been in the Information and Communications Technology (ICT) advisory and consulting industry for 20 years. While her technology research expertise is vast and diverse, she is best known in the industry for her Telecommunications knowledge and opinions within the Asia Pacific region. Her ability to discuss broad, strategic and converged issues across the ICT industry enables her to engage with many C-level management teams and technology executives in Asia.
Prior to joining IDC, Sandra was with Gartner/Dataquest for more than four years, where she was managing a variety of IT research projects ranging from midrange systems to peripherals. In addition to base unit research, she was actively leading in channel and consulting work.
Sandra has established a keen following within the Asia Pacific media fraternity and is frequently quoted in leading regional business and trade publications such as the Asian Wall Street Journal, Computer World, Telecom Asia, tele.com and Wireless World, and also in locally-based media such as Singapore’s Business Times and Hong Kong’s South China Morning Post. She is often invited to present IDC’s opinions on CNBC Asia, Bloomberg and Channel News Asia. Sandra is also a regular keynote speaker at global and regional ICT conferences.
Fluent in English and Mandarin, Sandra graduated from National University of Singapore with a Bachelor of Business Administration degree.
As AI becomes increasingly embedded into enterprise operations, organizations must redefine the balance between human judgment and autonomous intelligence. This interactive discussion will explore how leaders can build trust, governance, and organizational readiness while embracing AI-driven decision ecosystems.
As AI evolves from automation to autonomous decision intelligence, enterprises are creating a new “digital executive layer” that augments strategic and operational decision-making. This keynote explores how organizations can responsibly scale agentic AI across business functions to drive agility, resilience, and measurable business outcomes.
Nathan Goh serves as the Head of Google Workspace Customer Engineering for the Asia Pacific region, overseeing the technical engagements in Corporate and Enterprise segments . In this capacity, he is responsible for the go-to-market strategy and engagements for Google Cloud AI SaaS offerings. Nathan is currently leading his team of Customer Engineers across APAC to architect the Agentic Workplace for customers, ushering them into the AI Agentic Age. By leveraging Agentic Workspace Transformation—a platform with unified context that empowers teams to drive outcomes together across every workflow—he ensures Google Workspace elevates individual and team-level productivity with integrated AI.Deploying Gemini Enterprise to orchestrate enterprise widel context, acting as the central nervous system for organizations to drive impactful business outcomes and ensure a superior customer lifecycle experience.
With over 25 years of experience in the IT industry, Nathan has a proven track record of leading complex technical organizations across APAC. He began his career on the end-user side, managing pioneering projects such as VoIP at Andersen Worldwide. Nathan then spent a decade in Tokyo, honing his expertise in network and security management within the financial sector for prestigious institutions including Dresdner Bank and Merrill Lynch APAC. Upon returning to Singapore, he spent five years as a vendor consultant at Citrix, focusing on Digital Workspace and Application Delivery Controllers. Prior to joining Google, Nathan led the Partner Solution Architect organization at VMware, covering the entire Asia Pacific and Japan region. Nathan is an alumnus of Nanyang Technological University (NTU), where he studied Electrical and Electronic Engineering (EEE).
As AI becomes increasingly embedded into enterprise operations, organizations must redefine the balance between human judgment and autonomous intelligence. This interactive discussion will explore how leaders can build trust, governance, and organizational readiness while embracing AI-driven decision ecosystems.
Organizations are moving beyond AI experimentation toward embedding intelligent agents into everyday workflows. This session examines how enterprises can operationalize agentic AI to accelerate decisions, improve productivity, and enable real-time business responsiveness.
Hayley is a seasoned Consulting partner with over 20 years’ experience working across the Asia Pacific region and Southern & East Africa. In her role as an Advisory Partner, she leads the Consulting Agentic Workforce Transformation (AWT) portfolio for NTT DATA for APAC.
Hayley has been in the APAC region for more than 4 years and, in her prior roles has led the Security Services business in this region for a major Financial Consulting Organization. In addition, she spearheaded the Wealth Management portfolio. Prior to her roles in APAC, she was a Partner in EYs Advisory Services, based in South Africa, and served at Leader for the Workforce Advisory portfolio for the continent.
Hayley’s background has seen her lead transformative work for clients across several sectors including Financial Services, Telco, Mining, Ports & Rail. As Advisory AWT lead, in partnership with Google, Hayley has built an end-to-end technology to competitive advantage proposition which effectively considers the critical elements that must come together on an agentic workforce transformation journey. This is designed to drive and realize the organizational strategic objectives by leveraging technology to build a future fit workforce and operating model.
Having led a Workforce Advisory team, she is keenly aware of the value of the people impact to an organization, and that integration of core adoption tenets into any transformation journey is critical to defining success.
Hayley will be sharing this approach, and the key levers to business and people impact though future forward technology.
As AI becomes increasingly embedded into enterprise operations, organizations must redefine the balance between human judgment and autonomous intelligence. This interactive discussion will explore how leaders can build trust, governance, and organizational readiness while embracing AI-driven decision ecosystems.
Organizations are moving beyond AI experimentation toward embedding intelligent agents into everyday workflows. This session examines how enterprises can operationalize agentic AI to accelerate decisions, improve productivity, and enable real-time business responsiveness.
NTT DATA – a part of NTT Group – is a trusted global innovator of IT and business services headquartered in Tokyo. We help clients transform through consulting, industry solutions, business process services, IT modernization and managed services. NTT DATA enables clients, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries.
Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner.
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