Powering data-driven innovations
The adoption of data science & machine learning within insurance organizations is a key success factor in driving client-centric innovations.
Data science & machine learning within insurance organizations are key success factors.
Recent years have produced significant changes on the technology frontier. We consistently see that Open Source technologies empower businesses to build and maintain fully integrated Data Science & Machine Learning (DSML) platforms that are aligned with their specific needs.
The right platform strategy is critical to successfully engaging employees on their enterprise AI journey. Our report covers the following elements:
- Successfully mixing platforms and technological structures to create data insights and unlock the value in your own enterprise data
- Making data usable, while governing and monitoring ongoing compliance and risks
- Integrating data science processes into the prevailing DevOps loop
- Leveraging Open Source components to support the full data science lifecycle.
Our team consists of experts in Digital Experiences, Data Science and Solution Architectures. Contact us to learn more about how we can support your digital transformation agenda.