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5 misconceptions about AI security: Here's where the real risk exists
Across all the AI deployments I've reviewed in a range of industries, one pattern stands out: Organizations are looking for risk in the wrong place. Their focus tends to settle on the model itself, including its training data, safety controls and behavior. But in practice, that's rarely where things break down.
- April 30, 2026
- Global
Technology Solutions
The State of Digital Humans
Digital Humans are emerging as a new class of intelligent interfaces that combine realistic avatars with AI to deliver natural, task-oriented interactions. Built on four layers - avatar interface, AI conversation engine, orchestration layer, and integrated external systems - they move beyond chatbots to become always-available digital workers. Adoption is accelerating due to advances in generative AI, real-time rendering, speech synthesis, and enterprise pressure to automate and reduce costs. Key use cases include customer concierge services, HR onboarding and support, banking assistance, healthcare coordination, and public-sector service interfaces. Looking ahead, Digital Humans will become proactive, autonomous coworkers optimized for sustainability, context retention, and experience quality.
- April 27, 2026
- Global
Digital Human
The case for platform-led value creation in private equity
Private equity is entering a cycle in which technology, rather than financial engineering alone, will determine long-term winners and losers. Over the past two years, across carve-outs, integrations and standalone builds, one pattern has become unmistakable: AI is reshaping how value is created, and portfolio companies can no longer rely on inherited systems, parent-company platforms or deferred modernization to compete.
- April 24, 2026
- Global
Cloud
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Why mainframe modernization in insurance is a strategic advantage
The insurance industry has some difficult choices to make.
- April 24, 2026
- Global
Cloud
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Cloud is no longer infrastructure - it's the execution layer of AI
If you're treating cloud as just infrastructure, you're already behind. In the era of AI, it's no longer merely the place where systems run. It's the execution layer of the AI operating model.
- April 16, 2026
- Global
Cloud
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Building for AI: Modernizing applications with Microsoft Azure
Applications are central to enterprise performance, and they're being entirely transformed by agentic AI. This new era of agentic automation is revolutionizing application modernization and redefining what applications can do for organizations.
- February 26, 2026
- Global
Cloud
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Results of PoC for Next-Generation Financial System Utilizing IOWN Technology
MUFG Bank and NTT DATA Group have been conducting a series of studies to realize a next-generation financial system utilizing IOWN (Innovative Optical and Wireless Network) technology.
- February 26, 2026
- Global
Banking and Financial Services Cloud Network
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From cloud-ready to AI-ready: The new modernization mandate
Modernization has been a mantra for organizations for the past decade. From migrating workloads to the cloud to embracing digital-first operations, they have invested heavily in building scalable, agile foundations.
- January 9, 2026
- Global
Cloud
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Why 'lift and shift' used to work - and why it doesn't anymore
A few years ago, "lift and shift" was the golden ticket to the cloud. It seemed simple: Pick up your workloads, move them from your on-premises data center into the cloud, and you're done.
- November 28, 2025
- Global
Cloud
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Rearchitecting for the future: Why private and sovereign clouds lead in the AI era
When I meet CIOs across industries, one theme consistently rises to the surface: trust is now the true differentiator. Cloud and agentic AI are inseparable, but success no longer depends just on speed or scale. It depends on whether stakeholders - customers, business leaders and boards - trust how you manage data, govern AI agents and safeguard operations.
- October 14, 2025
- Global
Cloud
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The next phase of cloud: Reimagining innovation with AI
Cloud computing has long been the backbone of digital transformation. Initially adopted to meet infrastructure demands and reduce costs, it evolved into a platform for building applications faster through cloud-native architectures. Today, we stand at the threshold of a new era - one where AI and cloud-native data platforms converge to unlock unprecedented innovation. Let's explore what CIOs need to focus on to make sure these platforms are delivering.
- October 14, 2025
- Global
Cloud
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How agentic AI transforms cloud - with humans at the helm
Ten years ago, cloud moved from a promising concept to a proven business enabler. For CIOs, it delivered three critical advantages: speed to market, the ability to scale operations on demand and the ability to keep services running reliably. These capabilities reshaped how they invested in technology, transforming IT from a cost center into a driver of growth and innovation.
- October 14, 2025
- Global
Cloud
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Hybrid data centers: It's time to rethink your infrastructure strategy
Cloud versus on-premises is no longer the main debate for CIOs and technology leaders.
- April 9, 2025
- Global
Cloud
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What Key Management Services Ensure Data Sovereignty in the Sovereign Cloud?
The sovereign cloud has been attracting worldwide attention since 2021. There are three sovereignties required in the sovereign cloud: data sovereignty, system sovereignty, and operation sovereignty. Key management services are an essential technical element to realize data sovereignty.
- March 31, 2025
- Global
Cybersecurity Cloud
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