In pursuit of digital transformation, businesses are adopting new and futuristic technology platforms to accentuate their operations, enhance customer experiences, and stay ahead in the competitive race. However, even with the latest and greatest technology, there is an overarching need to ensure accessibility, even for novice users, to achieve complete adoptability.
Modern technologies such as Artificial Intelligence (AI) and Machine Learning (ML) have made accessibility simpler. With advanced capabilities such as Natural Language Processing (NLP), users can define a task in their natural language, and the application interprets the requirement and gives the desired output — without any need for coding.
NLP and Large Language Models (LLM) form the basis for Copilot, Microsoft’s latest technology offering in partnership with OpenAI, which leverages the capabilities of the world’s most advanced supercomputers (hosted on open-source foundation models) and the best of AI development infrastructure. Copilot is a game changer across Microsoft platforms, including Azure, Teams, Power Platform, Microsoft 365, and GitHub. Most importantly, Copilot also provides a significant boost for security monitoring and threat analysis.
Let’s have a look at a few Microsoft Copilot use cases to understand how Copilot has the potential to radically transform business operations.
Copilot for Microsoft 365 integrates with all constituent applications (such as Word, Excel, Outlook, and Teams, among others) by using GPT-4 and Microsoft Graph. A common way to leverage Copilot in these applications is to type in a task description which then automatically gets executed. For example, if you type in a query to generate analytic reports from raw Excel data, you get the result instantly with real-time visualizations and reports.
Microsoft recently launched an application called Business Chat, which has access to your emails, calendar, chats, documents, and many more to help improve productivity and efficiency in day-to-day communications. To use this feature you can type in a query — such as the status update of the project — and immediately get a report derived from related emails, documents, meetings, and chats.
Here are a few more Microsoft 365 Copilot use cases:
With the above features, the Copilot for Microsoft 365 enhances your business operations and makes way for a digitally mature modern workplace.
Learn More About How Copilot Transforms Upskilling > >
The Microsoft Security Copilot uses AI capabilities for early threat detection, analyzing the best-suited remediation and enhancing the native capabilities of the application. It helps businesses improve their security posture based on analytical insights and quickly processed signals that discover otherwise unknown vulnerabilities, and then suggests the best incident response patterns. Security analysts can query it in their natural language and get the desired response without coding or manual analysis.
The Azure OpenAI Copilot leverages the GPT-4 LLM and enables users to train the application on a vast vocabulary and code and automatically detect patterns in usage to enhance its language processing capabilities. It generates text and code as seamlessly as a manual user would, with a wide range of requirements such as creating content and code, language translation, custom marketing text, and summarization, amongst other text requirements.
Azure OpenAI Copilot also has image generation capabilities that include creating marketing assets, visuals, and process roadmaps.
Benefits of Azure OpenAI Copilot for your business include:
The Copilot Studio offers a cloud-based platform that facilitates easy building, deploying, and managing of your AI solutions with its constituent tools and services. Copilot Studio helps you create custom apps and Chatbots based on your business data, and users can leverage the Founders Hub or Azure OpenAI Playground to create custom Copilot stacks built on a model such as ChatGPT or GPT-4 with their content and images.
Benefits of using Copilot Studio:
Watch the video below to learn more about Copilot Studio in action.
The GitHub Copilot is an independent tool for DevOps offered in the Azure Data Studio. The GitHub Copilot Chat integrates with the GitHub Copilot and helps users with predicative autocomplete suggestions for writing code. Users can leverage it for code snippets or query the tool in their natural language and get the required code as an output. The tool has the OpenAI Codex as a base, a system recently introduced by OpenAI. It supports coding requirements for C, C++, Python, JavaScript, Ruby, and Go, apart from SQL query generation for databases.
Users can enable and configure GitHub Copilot Chat in a supported IDE and turn it off when required.
The above examples show just a slice of the ways that Microsoft Copilot can help businesses save development and operational costs, and help novice and skilled coders query in their natural language and get the desired output. Copilot’s vast set of capabilities have the potential to redefine core and critical operational requirements, and provide the right solution for many use cases.
Curious how Copilot can support your business operations? Contact our Microsoft Solutions experts to book a discovery call today.