Tag Archives: Artificial Intelligence

The New Years Microsoft AI Revolution

Getting your business and co-workers ready to adopt Microsoft Copilot (AI) assistant involves some advanced preparation and training.

Make Your New Year Microsoft AI Revolution

Beyond the obvious need to make sure your technical environment (See our previous blog on the subject) is up to the task, Copilot artificial intelligence (AI) is a classic example of the adage rubbish in equals rubbish out, so think on.

You might also want to make sure everyone has access to Bing Chat available in Windows 11, your browser and in something of a surprise move from Microsoft Windows 10.

How to frame your queries on Microsoft Copilot.

Getting used to framing your query to Bing chat (assuming, like most of the world, you aren’t lucky enough to have access to Microsoft’s M365 Copilot); in the meantime, get a feel for the ways you can use AI to help with your daily tasks, you’ll soon see why when it’s embedded into your apps it will be a massive boon to your productivity, especially for SME’s.

Tamite Secure IT Microsoft Copilot adoption white paper

Microsoft AI Copilot, M365 Sharepoint security and Copilot go hand in hand

Certainly, a degree in something like philosophy might be a huge advantage as the ability to formulate and refine your queries is the crucial skill you should aim to acquire; technical knowledge is a minimal requirement, so we can say goodbye to the classic image of the IT man with no people skills tomorrow’s technician will need a good line in rhetoric.

Getting the most out of the new generation of AI-driven technology will be more akin to your conversations with Alexa; if you don’t frame the request carefully, you may end up with The Birdy song.

Getting the best answer is a skill you should practice, and the key to success is framing your request correctly.

To create ideal queries for Microsoft Copilot or your chosen AI assistant, you can follow the below steps:

1.      State the goal: Begin by stating the goal of the query clearly and concisely. This will help Copilot understand what you are trying to achieve and provide more accurate suggestions. Incidentally, this stage is often valuable because you must crystalise your thinking on the subject.

2.      Provide context: Provide some context around the data you are working with. This may include information about the tables, columns, and relationships between them. For a more generalised query, Information about the target audience may prove helpful. The more context you provide, the better Microsoft Copilot (AI) will be able to understand your query.

3.      Use comments: Use some comments to provide additional information about the query. This can include information about the logic behind the query, any assumptions you are making, or any constraints that need to be considered; for instance, in this case, I might have commented give me four rules to help create queries for AI assistants.

4.      Iterate: Query design is often an iterative process. Start with a basic query, run it, take a look at the results, fix it, then add more logic, rerun it, and so on. Copilot can help speed up this process by providing suggestions along the way.

Microsoft announce Microsoft AI key will be added to keyboards.