Microsoft 365 Copilot At Work - Using AI to Get the Most From Your Business Data and Favorite Apps

Learn to leverage Microsoft's new AI tool, Copilot, for enhanced productivity at workIn Microsoft 365 Copilot At Work: Using AI to Get the Most from Your Business Data and Favorite Apps, a team of software and AI experts delivers a comprehensive guide to unlocking the full potential of Microsoft's groundbreaking AI tool, Copilot. Written for people new to AI, as well as experienced users, this book provides a hands-on roadmap for integrating Copilot into your daily workflow. You'll find the knowledge and strategies you need to maximize your team's productivity and drive success.The authors offer you a unique opportunity to gain a deep understanding of AI fundamentals, including machine learning, large language models, and generative AI versus summative AI. You'll also discover: How Copilot utilizes AI technologies to provide real-time intelligent assistance and revolutionize the way you work with Microsoft 365 apps Practical Implementation Strategies for project and change management, as well as practical guidance on rolling out Copilot within your organization Specific use cases, including Outlook, Teams, Excel, PowerPoint, and OneNote, and how Copilot can streamline tasks and boost efficiency across various Microsoft applications Take your Copilot proficiency to the next level with advanced AI concepts, usage monitoring, and custom development techniques. Delve into Microsoft Framework Accelerator, Copilot plugins, semantic kernels, and custom plugin development, empowering you to tailor Copilot to your organization's unique needs and workflows. Get ready to revolutionize your productivity with Microsoft 365 Copilot!

Product details

• Authors: Thomas Flock, Sandar van Laan, Jared Matfess, Reid Ann, Jacob J Sanford, Sandar Van Laan, Sandar Matfess Van Laan
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2025
• EAN: 9781394258376
• ISBN: 978-1-394-25837-6
• No. of pages: 368
• Dimensions: 188 mm x 235 mm x 20 mm
• Series: Tech Today
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; machine learning, COMPUTERS / Machine Theory, computer science, Mathematical theory of computation, Natural language and machine translation, COMPUTERS / Business & Productivity Software / Office Suites, Integrated software packages