Blocking ChatGPT gives a business a clear action to point to. It does not, by itself, answer a more important question: how are employees using AI to get their work done? An employee facing a deadline still needs to draft an email, summarize a document, or organize research. If the organization has restricted one tool[…] Read
Key Takeaways – A data lake primarily provides scalable storage for large volumes of structured, semi-structured, and unstructured data. – Microsoft Fabric brings data integration, engineering, storage, analytics, real-time intelligence, Power BI, and AI capabilities into a unified platform. – OneLake serves as the shared data foundation across Microsoft Fabric workloads, reducing the need to[…] Read
Shadow AI: the security risk your business can’t see The use of AI in the workplace has increased dramatically and not always through a company-approved rollout! Shadow AI refers to the use of AI tools or assistants at work without the knowledge, approval or oversight of an organisation’s IT or security team. It might be[…] Read
If an employee wants to use a new AI tool, who approves it? If the tool produces an inaccurate client communication, who reviews it? And if confidential information is shared accidentally, who needs to know? For small and midsize businesses, these questions highlight an important part of AI adoption: clear responsibility. An organization may have[…] Read
AI adoption is creating new ways for organisational data to be accessed, shared and moved. Microsoft 365 Copilot is only part of the picture. Employees are using public AI tools, personal accounts, AI-enabled plug-ins and increasingly AI agents that can interact with business systems and data. For IT and security teams, this creates practical questions.[…] Read
You may not be using Copilot (yet), but you certainly know what it is or have heard of it at least. Copilot promises to transform the way we work – saving time, uncovering insights, and reducing friction in everyday tasks. Yet for many people, the reality is that Copilot feels underused, misunderstood, or even a[…] Read
Artificial intelligence is often discussed as if its primary purpose is to replace people. In manufacturing, that is the wrong way to look at it. The more practical opportunity is to use AI to take repetitive, time-consuming work away from employees so they can spend more of their time on work that requires judgment, experience,[…] Read
For Australian SMEs and business leaders, AI agents promise the same three things every new tool promises: save time, cut admin, and help your team work smarter. The difference is that agents are already built into software many businesses use every day, so the question is no longer whether to use them, but where to[…] Read
How do you empower your team to innovate with AI while protecting systems, data, customers, and internal users? An AI governance framework can solve this challenge. The key is to choose the right framework(s) for your industry, your use cases, and your regulatory requirements. This can get complex, which is why many companies turn to AI[…] Read
Artificial intelligence is quickly becoming part of everyday business. Employees are using AI to summarize documents, draft emails, analyze information, create content, automate repetitive tasks, and support decision-making. For business leaders, the question is no longer whether employees will use AI. The more important question is whether that use is happening in a way that[…] Read
