{"id":13431,"date":"2023-11-21T20:05:47","date_gmt":"2023-11-22T01:05:47","guid":{"rendered":"https:\/\/pureinsights.com\/?p=13431"},"modified":"2023-11-21T20:09:42","modified_gmt":"2023-11-22T01:09:42","slug":"how-microsoft-copilot-incorporates-private-enterprise-data","status":"publish","type":"post","link":"https:\/\/pureinsights.com\/blog\/2023\/how-microsoft-copilot-incorporates-private-enterprise-data\/","title":{"rendered":"How Microsoft Copilot Incorporates Private Enterprise Data"},"content":{"rendered":"\t\t
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This blog discusses how Microsoft Copilot incorporates private enterprise data, even as IT leaders struggle to embrace third-party AI models without compromising data security.<\/p>

Microsoft Copilot: Harnessing the Power of AI Without Compromising Data Security<\/h2>

In today’s data-driven world, organizations are increasingly turning to artificial intelligence (AI) to enhance productivity and gain a competitive edge. However, concerns about data security often hinder the adoption of AI solutions, particularly those that involve third-party models. Microsoft Copilot, a new AI-powered tool, aims to address these concerns by providing a secure and seamless way for organizations to integrate AI into their workflows.<\/p>

The Rise of AI Assistants and the Challenge of Data Privacy<\/h2>

Microsoft Copilot, which became generally available in September 2023<\/a>, is part of a broader trend of AI assistants becoming ubiquitous in the workplace. These AI-powered tools \u2013 like ChatGPT<\/a> \u2013 are designed to assist users in various tasks, from completing code snippets to writing emails. While AI assistants offer significant benefits, they also raise concerns about data privacy. When organizations use third-party AI models, they risk exposing their sensitive data to those providers.<\/p>

Microsoft Copilot’s Solution: Retrieval Augmented Generation (RAG)<\/h2>

Microsoft Copilot addresses this challenge by employing a novel technique called Retrieval Augmented Generation (RAG), which we documented in detail in another blog<\/a>. RAG enables Microsoft Copilot to leverage private enterprise data without compromising its security. Here’s how it works:<\/p>

  1. Information Retrieval: When a user submits a query, Microsoft Copilot utilizes an information retrieval (IR) system to identify relevant information from the user’s private enterprise data.<\/li>
  2. Prompt Engineering: The retrieved information is then combined with a prompt, which is a set of instructions that guides the large language model (LLM) in generating the desired output.<\/li>
  3. LLM Generation: The LLM, trained on a massive dataset of text and code, generates text based on the prompt and the retrieved information.<\/li>
  4. Output Delivery: The generated text is then presented to the user, providing them with insights and assistance based on their private enterprise data.<\/li><\/ol>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    Source: MS Ignite Presentation on MS Copilot by Ramesh Balasubramanian, Principal Product Manager.<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    Data Security Measures: Ensuring Data Privacy<\/h2>

    Microsoft prioritizes data security and has implemented robust measures to protect private enterprise data:<\/p>