Fujitsu’s Private GPT: Unleashing the Power of Generative AI while Preserving Data Sovereignty

Fujitsu recently unveiled its Private GPT solution, a business-oriented solution designed to help companies accelerate workflows by creating custom instances of large language models (LLMs) using their own data privately and securely. The company showcased this new solution at a press event, highlighting the capabilities of generative Artificial Intelligence (AI) and its potential benefits for organizations.

According to Fujitsu’s Chief Data Officer (CDO), Udo Würtz, generative AI is transforming the way organizations operate by enhancing workload efficiency, creativity, and decision-making. However, data sovereignty remains crucial for companies, emphasizing the importance of maintaining privacy and security when utilizing AI technologies.

To address this concern, Fujitsu launched Private GPT as a comprehensive solution that offers consulting services for specific use cases, the creation of AI models tailored to a company’s private data, and the deployment of GPT in the company’s data center. The key focus of Private GPT is to provide security and privacy guarantees while harnessing the power of generative AI and LLMs.

With Private GPT, companies can have exclusive control over their AI models and data, ensuring that workflows operate using proprietary data in a secure environment. By creating LLM instances from scratch and utilizing Fujitsu’s ecosystem, companies can achieve optimized results for tasks like document translation into multiple languages and content creation.

The Private GPT solution also offers customization and control capabilities that allow companies to delete or replace data, limit data sharing within specific groups, and manage data access securely. The solution is suitable for various sectors, such as healthcare, finance, marketing, and inventory management, providing tailored solutions without the need for a subscription model.

Fujitsu’s Private GPT ensures relevant, accurate results for specific tasks and languages without relying on internet connectivity or cloud services. The solution is designed to be energy-efficient and cost-effective following the pay-per-use system of the Fujitsu uSCALE initiative. Through Private GPT, companies can enhance their AI projects while maintaining data security and privacy within their organizations.

In conclusion