Secure AI for Regulated Industries
Accelerate your AI ambitions with Secure AI for Regulated Industries
While generative AI has the potential to deliver vital efficiencies and insights for organizations in highly regulated sectors like banking and government, it can also be accompanied by some significant challenges:
- Lack of company and industry context — Generic AI models often lack the necessary context specific to individual companies and industries. Without this context, models may generate inaccurate or irrelevant results.
- Ownership of intellectual property — Clear intellectual property rights are essential for organizations investing in AI, fostering trust and encouraging adoption of innovative solutions.
- Data privacy and security concerns — Regulated industries must ensure end-to-end security, encryption, and access controls to protect sensitive data and comply with privacy regulation.
- Lack of talented data scientists — Organizations face challenges adopting Generative AI due to a shortage of skilled professionals with the necessary expertise.
H2O.ai, Dell, and Red Hat have launched Secure AI for Regulated Industries, a comprehensive solution for secure generative AI tailored for regulated sectors. Unlike typical public cloud offerings, it ensures data sovereignty within controlled environments, allowing organizations to leverage internal data aligned with their business models.
Built for on-premises deployments, it supports unlimited text generation, custom AI application development via a low-code Python stack, and robust data privacy and security.
With support from H2O.ai’s expert data scientists, this platform accelerates AI initiatives through straightforward API integrations and an intuitive user interface.
- Contextual Insights from Internal Company Documents
H2O.ai utilizes internal documents and sensitive data to enhance AI models to better understand your business context.
- Open-Source Models and Ownership
Uses open-source algorithms for transparency, enabling easier explanations of predictions, while organizations retain ownership and avoid vendor lock-in.
- Fortified Data Privacy and Security
Regulated industries must ensure end-to-end security, encryption, and access controls to protect sensitive data and comply with privacy regulations.
- Accelerated Adoption and Expertise
The intuitive interface facilitates collaboration between data scientists and business analysts, while embedded expert guidance speeds up AI implementation.
