Tailoring an instance of ChatGPT specifically for internal Corporate use: A Business Case
Danilo II Lim
AI and Automation, Business Intelligence, Web3 and always riding the Wave of Digital Transformation
Artificial Intelligence (AI) technology, such as OpenAI's GPT-4 or ChatGPT, have transformed various industries by enabling efficient customer service and content creation. However, when it comes to internal corporate usage, data privacy becomes a critical concern.
Ensuring cybersecurity and safeguarding sensitive company information is of paramount importance. Therefore, the case arises for creating an instance of ChatGPT specifically tailored and secured for internal use within the organization.
The Need For Privacy And Security
One crucial aspect to consider here is the confidentiality of your business information when you interact with publicly available AI models like chatbots or virtual assistants. When using these tools, there exists potential risk regarding data security.
When inputting sensitive company information into any external tool — even in an encrypted format — there's a risk that someone could intercept this data during transmission or storage. Moreover, depending on the policies of the provider organization, they might have access to this data.
OpenAI's current policy states:
“As of March 1st 2023 OpenAI retains API data for 30 days but does not use it to improve our models.”
However, even if OpenAI doesn't actively utilize user inputs after its stated retention period ends, risks remain associated with storing confidential business-related queries on external servers without full control over their long-term handling and disposal.
Leveraging Retrieval Augmented Generation with ChatGPT and Azure Services
Imagine taking ChatGPT and applying it to your own data but with precise control over the knowledge base for in-context and relevant responses. We can do that in an approach often called Retrieval Augmented Generation.?
In this approach, we combine the Azure OpenAI service and Azure cognitive search to index and retrieve data of all kinds, knowledge that is private — only data that exists within your organization or applications boundary. The knowledge lives outside of the ChatGPT model, you are in control of it, and it is not used to train the model. And equally important from an enterprise perspective, any chat session state lives entirely within your application. whether you keep it or not is fully up to you.
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Benefits and Features
Implementing Retrieval Augmented Generation utilizing Azure services brings several benefits:
Conclusion
The potential benefits offered by utilizing AI-powered conversational agents like GPGT-4 are substantial—from enhancing customer experiences through automation up until driving operational efficiencies via streamlining routine tasks involved across various departments inside organizations today. However caution must be exercised ensuring proper safeguards protecting against inadvertent exposures involving critical proprietary information potentially resulting from interactions happening outside secure private networks environments.
By implementing internally-hosted versions though—we mitigate most risks encountered otherwise; simultaneously leveraging full-potential inherent within transformative technologies shaping future workplaces globally today.
Link References:
Watch our OpenAI fundamentals show at https://aka.ms/OpenAIMechanics
Try out the sample app on GitHub at https://aka.ms/entGPTsearch
More on Azure Open AI service at https://aka.ms/azure-openai
Check out Azure Cognitive Search at https://aka.ms/azsearch