Generative AI in Business: What Actually Matters in 2026

Generative AI has moved from curiosity to practical application in a very short period of time. Across industries, businesses are exploring how tools like large language models and AI assistants can support their operations. The early stage is often driven by experimentation. Teams test capabilities, generate ideas, and begin to understand what these systems can...

How to Prepare Your Business Data for AI: A Practical Guide for Companies

Many organisations exploring artificial intelligence focus first on the technology. They look at AI models, automation tools, or new platforms that promise efficiency and insight. Yet the success of any AI initiative depends far more on data readiness than on the AI model itself. Artificial intelligence systems learn from data. If the underlying data is...

What the Australian Government Means by “Technical Uncertainty” in Software Development

Many software founders assume that government research and development incentives apply mainly to laboratories, manufacturing, or scientific experiments. Yet software teams regularly encounter challenges that require investigation, experimentation, and discovery. When engineers face problems where the solution cannot be determined in advance, they must explore different approaches before identifying the one that works. This situation...

How Enterprise AI Transforms Business Data into Actionable Insights

Introduction Enterprise AI is reshaping how organisations understand, analyse and act on their data. In this episode of the DevReady Podcast, Anthony Sapountzis, CTO and Co-Founder of Aerion Technologies and DevReady.Ai, sits down with Deena Yuille, CEO and Co-Founder of Knowledge Orchestrator, to explore how AI can transform fragmented business data into clear, actionable insights....

Software Discovery Phase Explained: What Happens & Why It Determines Project Success

Most software projects that struggle do not begin with poor engineering. They begin with unclear foundations. A new platform is approved. Budgets are allocated. Teams feel urgency. Development timelines are discussed. Momentum builds quickly. Months later, progress slows. Scope expands. Technical complexity appears larger than expected. Stakeholders realise they were not aligned on outcomes. In...

AI for SMEs: 5 Use Cases You Didn’t Expect

AI is no longer something only large enterprises can afford or experiment with. In 2026, small and medium businesses across Australia and worldwide are already using AI in practical, grounded ways that create real operational value without massive budgets or headcount increases. The biggest misconception?That AI is about replacing people or building futuristic systems. For...

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