How can I use AIs safely and efficiently with Azure and OpenAI in my company?

The AI landscape is evolving rapidly, and the increasing use of Generative Pre-trained Transformers (GPT) such as ChatGPT and Google's Gemini is nothing short of revolutionary. These powerful tools have the potential to streamline operations, increase creativity and provide unprecedented efficiency in problem solving and content creation. However, there are significant hurdles to integrating these public AI tools into daily workflows: Security, compliance and privacy concerns. So the question arises: How can I use AIs safely?

A dilemma for data protection and compliance

A fundamental concern when using ChatGPT and similar AI services is the risk of sensitive internal company data being uploaded to public servers operated by OpenAI, Google and others. And it is not unfounded.

In the pursuit of convenience and efficiency, we could inadvertently expose ourselves and our company to vulnerabilities. Because as soon as the data leaves the secure area of our internal systems, its path is no longer in our hands.

This uncertainty leads to the questions:

What exactly happens to our data when it leaves the company boundaries and is processed by external services? Can I use these AIs securely and compliantly?

When company data is processed by external services, security and compliance concerns must be taken into account. External services should implement robust security measures, such as encryption and access controls, to protect data. They must also adhere to applicable data protection laws and industry-specific compliance requirements. Before using external AI services, it is important to ensure that they meet the necessary security and compliance standards to process data securely and legally.

Implementing these requirements alone ties up valuable resources and represents a significant obstacle to progress, meaning that many companies would like to use AIs such as OpenAI but are unable to do so.

The disappointment is there: a revolutionary tool is within reach, but cannot be used securely and compliantly.

But even if data protection and security concerns are initially considered "not important", there are other challenges for companies.

Further challenges in the use of AIs (e.g. OpenAi)

• Data model incongruence: Models do not fit the company data perfectly, which can lead to inconsistencies.
• Non-trainable model: Lack of adaptability of the models to the specific requirements of the company. How can I tailor and train my own AI to my use case?
• Limited future of the model: Lack of a clear roadmap for the development of new models, which makes long-term planning more difficult.
• Slow OpenAI accessSlow access to OpenAI services, it often takes weeks for the service to be made available in the company.
• Barriers to access: Barriers to entry for employees. It is often unclear how to gain access. How do I get access?
• Chat-only interface: Restriction to a chat-only interface, although companies may need programmatic access.

The search for a safe and efficient solution for the use of AIs

The dilemma is whether we should use GPTs or AIs to improve our workflows, considering the risks in terms of data privacy and security breaches and other challenges.

The fears and uncertainties associated with GPTs and AI technologies are a major obstacle to their further development and use.

So how can we navigate this uncertain landscape? Is there a way we can safely use GPTs and AIs without jeopardizing their reliability?

OpenAI & Azure: The solution for the secure and efficient use of AI in the company

There is a solution to this dilemma. The key is to use your own cloud infrastructure (such as AWS, GoogleCloud or Azure) to create an AI solution tailored to your needs.

This approach tackles the main problems head on by ensuring that your data is within the safe boundaries of the company (or the cloud infrastructure), which reduces the risks associated with external data processing.

This solution not only alleviates security, compliance and data protection concerns, but also offers flexibility, the AI to the individual requirements The system can be customized for different teams, as well as an easy way to monitor the usage and costs of individual accounts.

By providing relevant data about their use case in advance, teams can fine-tune their GPT or AI to get customized solutions for their use case while working with a familiar user interface (e.g. Microsoft Co-Pilot) work.

But that's not all.

With Azure and OpenAI, it has never been easier to configure your own AI. And to integrate it into your applications, websites or consumer products.

This means that the innovation bottleneck caused by safety concerns can be eliminated. And enables your company to use AI securely, efficiently and creatively.
But an AI, an OpenAI GPT on Microsoft Azure is not exactly easy to set up. And then there's also the Azure setup.

Setup of OpenAI on Azure: The Usual procedure would look like this:

• Create an Azure account: Start by creating an Azure account if you don't already have one.
• Login to the Azure portal: Register with your login data at https://portal.azure.com .
• Selection of the subscription: Select the Azure subscription under which the resource is to run.
• Configuration of the resource group: Create a new or select an existing resource group for the organization of your resources.
• Naming of the OpenAI service instance: Enter a unique name for your OpenAI resource.
• Select region: Choose the geographic region that best suits your needs to minimize latency and ensure compliance.
• Verification and confirmation: Check all entries and confirm the creation of the OpenAI resource.

Sounds complicated at first. But it can also be easier.

Set up AIs (OpenAI) with a self-service and Microsoft Azure

Setting up OpenAI on Azure is easy thanks to the Container8 Self-Service easier than ever.
Basically, you can set up your own OpenAI AI on Azure with just a few clicks and details in just a few minutes. We show you how quickly the setup can go in our Live webinar.

Set up OpenAI on Azure quickly and easily with Container8?

Creating OpenAI in Azure with just one click enables quick access and deployment. You can start using OpenAI immediately and tailor it to your needs. Without having to wait for long approval and deployment times.

Using AI safely in the future

If you're interested in using GPT technology, you may be concerned about security, compliance and data privacy. The good news is that you can use the Microsoft Azure Cloud and OpenAI's GPT models to create a secure and customized AI experience.

Don't let your concerns stop you from exploring the possibilities of AI. You can navigate the complexities of security, compliance and data protection with confidence. The future of work is driven by AI, and you can be a part of it.