Knowledge Hub
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.
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.
Matt Eastwood
| IDC
SVP, WW Research
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ANZ's AI Paradox: High Ambition, Elusive Returns
Australia’s technology leaders have reached a clear consensus on AI’s strategic importance. Nearly three-quarters of ANZ organisations now rate it a core business priority, with AI and automation ranking as the second highest digital transformation objective for 2025, behind only cybersecurity. And yet IDC’s 2025 ANZ Digital Ecosystem Survey of 440 organisations found, in a separate question, that 73% of respondents agree their AI investments have not delivered expected returns.
John Feng
| IDC Australia
Research Manager
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Parallels Perspective: Navigating the New Era of Application Delivery with Flexibility, Security, and Choice
The way organizations deliver applications has undergone a significant shift over the past few years. Pre-pandemic, virtual desktop infrastructure (VDI) was often seen as a niche solution for specific use cases. Post-pandemic, it has become a cornerstone of modern IT strategies, driven by the rise of remote work and the need for secure, scalable access to business-critical applications.
Steven Dewinter
| Parallels
Senior Global Director, Sales Engineering
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AI Is Reshaping Enterprise Economics
AI is reshaping enterprise economics, and it’s happening faster than most organisations can keep up with. On one side, investment in AI is accelerating across models, compute, and data. On the other, labour is shifting as manual work declines and roles evolve. The expectation is clear: productivity should rise. But it isn’t that simple. Right in the middle of these changes is a critical gap, organisations don’t actually understand productivity.