Fine-tune language models on federated data
Conversational AI
Telemedicine and patient apps
FinTech
Personalized advertisement
Why conversational AI teams choose Apheris
IP protection of data
Integrated SDK
Scalability
Compliance
"We need to launch our product on a federated infrastructure – where PII data stays where it is captured and doesn't have to move across borders – there is no other way forward for us."
Refine large language models to boost AI performance
Open AI's ChatGPT is very popular, yet not ready for enterprise adoption due to accuracy, security & privacy concerns. By refining large language models this can be tackled. For organizations that operate in a regulated space, federated learning can be used to train on distributed data to unlock value while maintaining privacy.
Beyond MLOps - How Secure Data Collaboration Unlocks the Next Frontier of AI Innovation
DevOps and MLOps are common methodologies in every company that wants to become software and data science driven by weaving AI into the core fabric of their business. Read what is required to securely collaborate with partners on data and AI at scale.
Buyer's Guide to Secure Data Collaboration
Secure data collaborations with multiple parties are the next source of getting a competitive edge. However, only a few data leaders know what to look for to get projects going. This buyer's guide will help you evaluate platforms and highlight considerations for AI and analytics across organizational boundaries.