Bing Chat Enterprise

Bing Chat Enterprise Bing Chat Enterprise

Quick Links: Get Started - Use Cases - Frequently Asked Questions

Important: Bing Chat Enterprise is not HIPAA compliant yet. Bing Chat Enterprise unlocks generative AI for capabilities around asking questions and generating responses from the web. It does, however, have some limitations, such as working with documents and/or conducting custom searches within University of Miami firewalls. If you need any assistance around similar examples, or other potential use cases surrounding generative AI, please reach out to the Department of Data Science and Research Informatics at dsri@med.miami.edu or Academic Technologies at academictechnologies@miami.edu.


Get Started

Bing Chat Enterprise

AI-powered chat for work with data protection

Available for: UM faculty and staff

Login: bing.com/chat

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Use Cases

You can use Bing Chat Enterprise to get work done faster, be more creative, or support customers better. All of this can be done with the confidence that individual and business data is protected and will not leak outside the organization.

For example, Bing Chat Enterprise can help you quickly generate content, analyze or compare data, summarize documents, learn new skills, write code, and much more. While doing this, you can be assured your organizational data is protected.

Conversation Styles
Creative Mode

Start an original and imaginative chat.

Balanced Mode

Start an informative and friendly chat.

Precise Mode

Start a concise and straightforward chat.

Prompts

Example Prompts for Faculty:
  • Draft content: "Create a research proposal on the topic of AI and its impact on society. Include the relevant research questions, methodology, and expected outcomes."

  • Personalize learning: "Generate a reading passage sample for my 3rd year computer science class about the history of programming languages, include three versions for Lexile levels 420L to 650L, 520L to 820L, 740L to 940L."

  • Brainstorm: "List 20 unique project ideas for my graduate students in the field of data science."

  • Summarize a PDF: "Recap the findings of this research paper on the impact of social media on mental health and list three recommendations and three challenges."

  • Improve efficiency: "Act as an expert in academic writing, review my manuscript to identify problems, and suggest changes that provide additional clarity and coherence."
Example Prompts for Staff:
  • Draft content: "Create a proposal on the topic of improving student retention rates. Include the relevant research questions, methodology, and expected outcomes."

  • Understand the implications of a decision: "What are the pros and cons of offline marketing strategies?" and "How can I measure the success of my offline marketing campaign?"

  • Learn new skills: "What are the top five things I should know when managing a large project?" and "What is agile project management and how does it differ from waterfall?"

  • Analyze data: "If we're forecasting 7% EPS growth this coming quarter, how does our internal forecast compare with EPS growth in the top US public CPG companies?"

  • Summarize a PDF: "Recap the findings of this internal efficiencies report and the top three concerns" and "What are best practices for addressing these kinds of inefficiencies?"

  • Generate social media content: "Use this messaging framework to generate five social media posts describing its value to healthcare workers."
Informational Videos
Bing Chat Enterprise - Explained by Microsoft

Watch this video to better understand what Bing Chat Enterprise is and how it protects data.

Watch this video to learn more about Microsoft's Bing Chat Enterprise, including how to use the new AI-powered chat tool.

About Copilot for the Web

Watch this video to get a better understanding of how Bing Chat Enterprise can be utilized via the Microsoft Edge browser.


Frequently Asked Questions

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  • What is Bing Chat Enterprise?

    Bing Chat Enterprise is Microsoft's AI-powered chat tool that is designed to offer a higher level of data protection for businesses. What goes in—and comes out—remains protected. Like Bing Chat, Bing Chat Enterprise is grounded in web data and provides complete answers with links to content sources, along with visual answers that include graphs, charts, and images—and is designed in line with Microsoft's AI principles.

  • What is the difference between Bing Chat Enterprise and ChatGPT?

    Bing Chat Enterprise is secure as it provides AI-powered chat for an organization with data protection. Conversely, ChatGPT is an open-source chatbot, which means anyone can access its code and modify it. This poses a security risk, as malicious actors can modify the code and use it to carry out cyberattacks.

    ChatGPT also has a specific limitation based on its accessibility of information. ChatGPT does not use the Internet to provide services to users, which restricts its knowledge of world affairs to only up until 2021 and also means that it can't cross-reference with other sources to ensure that its responses are factual. On the other hand, Bing Chat Enterprise has the ability to access the Internet for information purposes, so it has no knowledge restrictions of this type.

  • How does Bing Chat Enterprise protect my data?

    Bing Chat Enterprise uses Microsoft Entra ID (currently known as Azure Active Directory) for authentication and authorization, and it only allows users to access it with their University of Miami account. Individual and business data in Bing Chat Enterprise is protected and will not leak outside the organization. Chat data is not saved, and Microsoft has no eyes-on access to it. What goes in—and comes out—remains protected. Chat data is also not used to train Microsoft's underlying models. Bing Chat Enterprise complies with the standard Microsoft Privacy Policy and Terms of Use agreements.

    Important: Bing Chat Enterprise is not HIPAA compliant yet. Bing Chat Enterprise unlocks generative AI for capabilities around asking questions and generating responses from the web. It does, however, have some limitations, such as working with documents and/or conducting custom searches within University of Miami firewalls. If you need any assistance around similar examples, or other potential use cases surrounding generative AI, please reach out to the Department of Data Science and Research Informatics at dsri@med.miami.edu or Academic Technologies at academictechnologies@miami.edu.

  • How does Microsoft approach responsible AI?

    Microsoft's official statement –

    "Microsoft believes that when you create technologies that can change the world, you must also ensure that the technology is used responsibly. We are committed to creating responsible AI by design. Our work is guided by a core set of principles: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. We are putting those principles into practice across the company to develop and deploy AI that will have a positive impact on society. We take a cross-company approach through cutting-edge research, best-of-breed engineering systems, and excellence in policy and governance."


Technical Support

For support, please contact the IT Service Desk – Coral Gables/Marine: 305-284-6565 or help@miami.edu; UHealth/MSOM: 305-243-5999 or help@med.miami.edu.

 

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