by CPI Staff | Jun 11, 2026 | AI for Business & AI Strategy, AI Vendor Selection & Implementation, Blog, C#
Engineering leaders are under pressure to move faster with GitHub Copilot, but many teams are still working out where AI-assisted development genuinely improves delivery and where it creates new review, security, and quality risks. That tension matters. Copilot is no...
by CPI Staff | Jun 10, 2026 | AI for Business & AI Strategy, AI Governance & Risk Management, AI Vendor Selection & Implementation, Blog
Claude Fable 5 gives Australian technology leaders another reason to revisit their enterprise AI architecture. The question is not simply whether the model is powerful enough. For most CIOs, CTOs and IT managers, the harder question is where the model should run, who...
by CPI Staff | Jun 7, 2026 | AI Governance & Risk Management, AI Vendor Selection & Implementation, Blog, C#
On April 7, 2026, Anthropic announced Project Glasswing — a cybersecurity initiative that brings together AWS, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorganChase, the Linux Foundation, Microsoft, NVIDIA, and Palo Alto Networks. Their shared mission: use...
by CPI Staff | Jun 3, 2026 | AI for Business & AI Strategy, AI Governance & Risk Management, AI Vendor Selection & Implementation, Blog
For many Australian organisations, the hardest part of enterprise AI is not choosing a model. It is getting through procurement, security review, architecture sign-off, billing approval, and governance without creating another disconnected platform that adds risk and...
by CPI Staff | Jun 1, 2026 | AI Governance & Risk Management, AI Vendor Selection & Implementation, Blog, C#
Anthropic’s Claude Opus 4.8 is now available in Microsoft Azure AI Foundry, giving organisations another frontier model option inside the Azure ecosystem. For Australian businesses already standardising on Microsoft cloud services, this matters for a simple reason: AI...
by CPI Staff | May 28, 2026 | AI for Business & AI Strategy, AI Governance & Risk Management, AI Vendor Selection & Implementation, Blog
AI agents are moving quickly from interesting demos to practical business tools. But many organisations run into the same limitation once they start testing them in real workflows: the agent forgets. It forgets the customer context from the last interaction. It...
