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Microsoft 365 Copilot Alternatives

Generative AI Apps (Transitioning to AI Knowledge...

Considering alternatives to Microsoft 365 Copilot? See what this market Microsoft 365 Copilot users also considered in their purchasing decision. When evaluating different solutions, potential buyers compare competencies in categories such as evaluation and contracting, integration and deployment, service and support, and specific product capabilities.

Check out real reviews verified by Gartner to see how Microsoft 365 Copilot compares to its competitors and find the best software or service for your organization.

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Our organization, a product-based company, has had a highly positive and extensive experience using GitHub Copilot in our development environment, with nearly all our developers utilizing it. We primarily leverage it in the generative AI apps and AI code assistance markets, finding it fits well within the former. The product has significantly accelerated our development process and enhanced code quality. We've observed at least a 30% productivity boost when our teams are proficient in its use. This improvement is crucial given today's demand for rapid product and solution delivery. A key factor in our selection was Copilot's maturity and seamless integration with various development environments, including Visual Studio and VS Code, making it a valuable part of our ecosystem. It proves particularly effective for Python-based projects, machine learning libraries like scikit-learn, TensorFlow, and PyTorch, and generative models. Copilot's built-in intelligence understands the development context, offers automatic code writing, and assists with documentation, greatly aiding code maintainability and readability. It also minimizes distractions by integrating help that would otherwise require searching external forums. Onboarding was easy, leading to quick adoption within our team, partly because some developers, including myself, had prior experience with it. The return on investment (ROI) has been clear, delivering value in terms of speed, code quality, and overall project structure. While we highly value its AI assistance, we maintain strict code quality, security, and compliance through architectural reviews, penetration testing, and thorough human oversight, as AI tools require careful validation. We philosophically view Copilot as an intelligent tool that enhances productivity, not as a replacement for human input.Read all insights and reviews for GitHub Copilot
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