One of the biggest challenges for tech teams within data-driven organizations is deploying ML models in the cloud without compromising data privacy and security. Typically, to carry out ML inference, both the model and the input data must be on the same computer. Existing methods are cumbersome, complex and largely inefficient; discouraging cloud deployment.
With our advanced technological capabilities and in-depth market understanding, we have developed a solution that enables organizations to safely access and analyse data without compromising on confidentiality or giving up control of the data.
If you want to learn more on how you can safely and effectively deploy ML models for your organisation CONTACT US to discuss your requirements.