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Copilot, the next step in Microsoft AI and Machine Learning tech

Am so excited (and a little bit worried too!)

Microsoft has just unveiled its latest product, Microsoft 365 Copilot (official release date TBC, but already on GitHub for a while). This new virtual assistant is aimed at making work more efficient and productive for its users. Powered by Microsoft’s cutting-edge AI and machine learning technologies, Copilot is designed to help users manage their workload and prioritize their tasks.

Copilot in Word

With personalized recommendations based on the user’s work patterns, preferences, and habits, Copilot ensures that users can stay on top of their workload without missing any important tasks. Additionally, the tool automates routine tasks such as scheduling meetings, sending reminders, and drafting emails on behalf of the user. This way, users can save time and focus on more pressing tasks.

Copilot is also seamlessly integrated with other Microsoft 365 products such as Teams and Outlook, making it even easier for users to access it without switching between different apps. The product promises to be an exciting development for anyone who wants to improve their productivity at work. Its AI and ML capabilities make it a valuable virtual assistant that can help users manage their workload and prioritize tasks efficiently.

Overall, Microsoft 365 Copilot is an impressive tool that will undoubtedly change the way we approach our work. With its advanced technology, the virtual assistant will make our work more manageable and efficient than ever before.

Now, why am I worried?

Like anything with technology, people tend to rely on it too much, and then blame it! What will happen when someone uses Copilot fully to prepare their presentation, write contracts and send work emails and … don’t actually read back before publishing?! They will blame technology, but in the meantime, the damage is done.

So remember: the best writing tool you have at hand is always going to be you! And especially your eyes to approve content before publication.