Protecting your confidentiality with private AI
3 minute read
Joe Marner
January 16th, 2024
With the rise of generative AI, organisations are able to harness the power of data to gain valuable insights and make more informed decisions. However, concerns around data privacy and security linked to public facing apps have become paramount. This is where private AI comes into play.
Private AI refers to the use of AI technologies that prioritise data privacy and security. It encompasses techniques and tools that allow organisations to leverage the benefits of AI while ensuring that sensitive data remains protected. Private AI focuses on preserving the confidentiality, integrity, and availability of data, making it an ideal solution for businesses that deal with sensitive information.
What’s the difference between private AI and public AI?
While both private AI and public AI are based on the principles of artificial intelligence, there are some key differences between the two. Public AI focuses on making AI technologies and models openly available to the public. This means that anyone can access and use these models to develop their own applications or solutions.
Private AI emphasises data privacy and security. It involves the use of AI technologies within a closed environment, where data is protected and access is restricted to authorised individuals or entities. Private AI ensures that sensitive data remains confidential and is not exposed to potential threats or misuse.
What are the benefits of private AI?
Private AI offers several benefits to organisations that prioritise data privacy and security:
Leverage the power of AI without compromising on data confidentiality. By implementing private AI solutions, organisations ensure that sensitive data is protected and only accessible to authorised individuals
Comply with data protection regulations and maintain customer trust. With the increasing focus on data privacy, organisations that handle sensitive information need to demonstrate their commitment to protecting customer data. Private AI provides a framework for organisations to meet these requirements and build trust with their customers
Enhance the accuracy and efficiency of AI models. By training AI models on private data, organisations can create models that are tailored to their specific needs and requirements. This enables organisations to drive more accurate insights and make better decisions based on their unique data sets
How are organisations currently implementing private AI?
Many organisations across various industries are already implementing private AI to protect their sensitive data while harnessing the power of AI.
Private AI can be used in much the same way as public AI, generating content and code, giving valuable operational recommendations, and completing information retrieval. All of the features of private AI are designed to give the user an immersive AI experience while maintaining confidentiality and security.
Private AI offers organisations the opportunity to leverage the benefits of AI while prioritising data privacy and security. By implementing private AI solutions, you can protect sensitive data, comply with data protection regulations, and enhance the accuracy of AI models.
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Dell’s range of solutions and services help organisations effectively implement private AI, ensuring they unlock its full potential for success. Discover more about how Dell will assist you in implementing private AI with our Dell Specialist.
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About the author
Joe has been with Phoenix since 2020 as a Solutions Specialist in our Solutions Team, primarily focused on hybrid and on-premise infrastructure and data protection solutions. He has been working in the industry for nearly a decade and in that time has developed a passion and focus for helping our clients drive meaningful outcomes for their organisations through technology.