Tag: Demystifying
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There’s a common view in tech: once you build an AI model or an agent, the hard part is done. But any technology leader knows the real challenge begins after deployment, especially with Generative AI, where outputs aren’t predictable facts but fluid language and reasoning. That’s why observability (the ability to see, understand, evaluate, and…
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“Powered by neural networks.” You see this phrase everywhere, in AI tools, vendor decks, and LinkedIn posts. But if you’re a business owner or a developing consultant, it often raises a fair question: What does that actually mean, and why should I care? Let’s demystify it. What is a neural network (in plain English)? A…
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Ever been asked: “What does this user actually have access to in SharePoint?” And you know the answer may potentially be complicated 😅to report on for admins. Between site memberships, M365 groups, nested security groups, sharing links, and unique permissions, it’s rarely a simple response. Until now, answering that question properly usually meant PowerShell, compiling…
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When most people think about AI at work, they picture a chat window. Ask a question. Get an answer. Repeat. Chat is useful, but it’s only one interface. And in many business scenarios, it’s not even the best one. The real shift happening right now is autonomous agents: AI that doesn’t wait for you to…
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Most agent scenarios I hear clients discussing during planning workshops start with chat. Generative copilots for policy Q&A. Retrieval agents that summarise information. And while custom copilots can integrate with Power Automate or use agent flows, the simplest and most direct way to extend Copilot Studio agents is through tools. These let agents move beyond…
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Licensing isn’t the most exciting topic in technology — until it becomes the reason innovation is blocked. For many organisations, Copilot Studio licensing has been that blocker. While the per-user licensing model for Microsoft 365 Copilot was straightforward, around $40 per user per month for productivity enhancements in Word, Excel, Outlook, PowerPoint, and Teams, the…
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I’ve spent a lot of time recently walking clients through the different AI options in Microsoft, discussing what each model offers and designing solutions that fit their business needs. As I explained the pros and cons of the various licensing approaches, it struck me that a clear, structured summary would be useful beyond those conversations,…
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Generative AI has captivated industries, redefined creativity, and accelerated innovation—but its journey didn’t begin with ChatGPT or DALL·E. Like all revolutions, it began with quiet, foundational work that grew in sophistication over decades. Here’s a look at how generative AI evolved—from early logic-based systems to today’s creative collaborators. 🌱 1950s–1960s: Seeds of Possibility and Simulated…
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The lines between AI automation and low-code workflows are officially blurring. As Microsoft brings autonomous agents into the mainstream through Copilot Studio, many of us are asking: “What’s the difference between Agent Flows and Power Automate Flows — and when should I use which?” Great question. The short version? They serve different purposes — but…
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Are your Custom Copilots ethical by design? Here’s how Australia’s AI Principles and Guardrails shape the future of AI solutions With the rise of AI-powered copilots across industries, there’s a growing tension between innovation and accountability. In Australia, we’re not waiting for regulation to tell us what not to do—we’re setting the bar for what…