Microsoft Copilot: Everything you need to know about Microsoft’s AI | TechCrunch

A future version of Copilot in Word will let you quickly pull in data from outside Word, PowerPoint, and PDF documents as well as emails, encrypted docs, and meetings. Elsewhere, in OneDrive, Copilot will summarize, show metrics about, and compare the differences between files for you.

Beyond the Microsoft 365 upgrades, Copilot Pro subscribers get landscape formatting options and 100 “boosts” per day in Image Creator (versus only 15 per day for free users) to speed up the image-generation process.

Importantly, Copilot Pro does not come with Copilot in Teams, a Copilot feature in Microsoft Teams that provides real-time summaries and action items while handling tasks like identifying people for follow-ups. Copilot in Teams is exclusive to enterprise Copilot customers, meaning those with an enterprise-class (or equivalent) Microsoft 365 license.

What is Microsoft 365 Copilot?

Separate and distinct from the consumer Copilot SKU is Microsoft 365 Copilot, a collection of generative AI add-ons to Microsoft 365 with an emphasis on business apps.

Microsoft 365 Copilot is priced at $30 per user per month and available to customers with a Microsoft 365 E3, E5, Business Standard, or Business Premium license. It delivers many of the same capabilities across the Microsoft 365 family of apps as Copilot Pro, but with the addition of “enterprise-grade data protection” and the Semantic Index, a back-end system that creates a map of the data and content in an organization to allow Copilot to deliver more personalized responses.

Microsoft recently launched Microsoft 365 Chat, for example, a tool that pulls info from content across Microsoft 365 apps (e.g., Word docs, PowerPoint presentations) to answer questions.

There are many, many Copilots besides. Here’s a partial list of them and their “skills”:

• Copilot in Power Pages can generate text, forms, chatbots, and web page layouts, and can create and edit image and site design themes.
• Copilot for Sales can help write email responses to customers or perform sales-related tasks such as sending summaries of Teams meetings through Outlook.
• Copilot in Microsoft Supply Chain Center can proactively flag issues like weather, financials, and geography that might impact supply chain processes.
• Copilot for Service can draft answers to customer queries via chat or email and provide a chat experience for customer service agents that draws from knowledge bases as well as case history. 
• Copilot for Azure can suggest configurations for Microsoft Azure-hosted apps and environments and help with troubleshooting by identifying potential issues and solutions.
• Copilot for Security aims to summarize and “make sense” of different forms of cyberthreat intelligence.
• Copilot in Fabric helps explore, prepare, and visualize data.
• Copilot in Intune helps manage security policies and settings and troubleshoot device issues.
• Team Copilot can help manage meeting agendas in Teams and extend to Loop and Planner to create and assign tasks, track deadlines, and notify team members when their input is needed.

Note that some of Microsoft’s Copilots, like Copilot in Business Central, are included in the base software licenses and don’t require paying an additional fee. Others, like Copilot for Sales and Copilot for Service, cost an extra $20 per user per month or $50 per user per month without an active Microsoft 365 Copilot subscription.

Copilot Studio

Copilot Studio is a dashboard that lets customers give Microsoft 365 Copilot access to data in their, or a third party’s, customer relationship management software, enterprise resource management systems, and other databases and repositories using prebuilt connectors or connectors they build themselves. Through Copilot Studio, customers can build guardrails for Copilots and create and publish their own custom-tailored “copilots.”

Microsoft 365 Copilot subscribers can tap Copilot Studio to create their own custom copilot by describing it in natural language. Copilots can filter to specific datasets for particular teams or users, or connect to an automation, plug-in, or third-party service to kick off actions or a workflow.

Copilot Studio is also where customers can craft what Microsoft calls Copilot agents. These AI bots — which can be “@ mentioned” in Outlook and Teams — leverage memory and knowledge of context to navigate different business workflows, learning from user feedback and asking for help when they encounter situations they don’t know how to handle.

Copilot agents range in capability from simple, prompt-and-response agents to more sophisticated bots — think bots that can monitor email inboxes and automate data entry. Microsoft provides a number of pre-built ones, including the Visual creator agent that generates images, designs, and soon videos.

What is GitHub Copilot?

Not to be confused with the many other Copilots in Microsoft’s portfolio, GitHub Copilot is a set of tools for generating code and supporting programming work. GitHub Copilot can be installed as an extension for IDEs including Visual Studio Code, Visual Studio, Neovim, and JetBrains, or used in the cloud with GitHub Codespaces.

The generative AI model underpinning GitHub Copilot has been trained on billions of lines of Python, JavaScript, TypeScript, Ruby, Go, and dozens of other programming languages — many of them hosted and available publicly on GitHub. When you’re writing code, GitHub Copilot suggests code as you type; you can cycle through suggestions and accept or reject them.

GitHub Copilot can also translate code into natural language descriptions, and Copilot Extensions allow developers to extend Copilot with third-party skills.

GitHub Copilot is available for free for students and for “verified” open source contributors and educators. For individuals, it’s $10 per month. For business customers, it’s $19 per month per user. And for enterprises, it’s $39 per user per month.

Individual, business and enterprise subscribers get Copilot Chat along with GitHub Copilot, a chatbot-like flow that’s aware of the entire context of the code they’re working on and can answer questions about that code. In addition to answering coding queries, Chat can help developers fix errors and bugs and address security issues through code analysis.

The enterprise and business GitHub Copilot plans include license management, IP indemnity, organization-wide policy management, and added privacy features. Enterprise customers can customize for their codebases and knowledge bases and fine-tune the underlying models, as well as access Copilot through the Microsoft Copilot on the web and use Copilot Chat on GitHub.com.

In April, GitHub launched Copilot Workspace, a sort of take on AI-powered software engineering. Workspace provides a dev environment that taps AI-powered agents to help brainstorm, plan, build, test and run code in natural language.

Issues with Copilot

Owing to the complex and fraught nature of today’s generative AI tech, Microsoft’s Copilots have their issues.

The models occasionally make mistakes when summarizing or answering questions because of their tendency to hallucinate, including while summarizing meetings. The Wall Street Journal cited an instance where, for one early adopter using Copilot for Teams meetings, Copilot invented attendees and implied that calls were about subjects that were never actually discussed.

As for GitHub Copilot, GitHub itself warns that it can produce insecure coding patterns, bugs, and references to outdated APIs, or idioms reflecting the imperfect code in its training data. The code Copilot suggests might not always compile or run — or even make sense.

Security and privacy concerns loom large over Copilot, as well. But perhaps the elephant in the room is the unresolved fair-use question.

Like most generative AI models, the models powering Microsoft’s Copilots were trained on public data, some of which is copyrighted or under a restrictive license. Microsoft — among others — argues that the fair-use doctrine shields it from copyright claims. But that hasn’t stopped data owners from filing class action lawsuits against the company, GitHub, OpenAI, and many more over what owners allege are clear licensing and IP violations.

Microsoft offers policies to protect certain customers from courtroom battles arising from fair use challenges — at least in narrow circumstances. That doesn’t resolve the ethical quandary of training models on data without permission, however, which may be more than some customers can swallow