Building Effective AI Infrastructure

As you move beyond the experimental phase and start realizing the true potential of AI across different domains, the technology choices you make become critical to the success of your investments. But how can you balance the need for rapid experimentation, reliable production, and adaptability in a constantly evolving ecosystem?

Join Michael Schmidt, Peter Prettenhofer, and Alex Conway in this exciting webinar as they unveil the hidden pitfalls that can derail your AI Infrastructure, and share tips on how to build a robust and well-balanced AI Infrastructure that drives value for your organization.

Speakers

Michael Schmidt

Chief Technology Officer

Peter Prettenhofer

VP of Engineering at DataRobot

Alex Conway

Principal Software Engineer, DataRobot

Join to hear about:

• Hidden pitfalls of AI Infrastructure investments
• How to make AI Infrastructure investments that balance experimentation, productionisation, and adaptability
• How the evolving AI landscape, like the introduction of LLM's, will change your AI Infrastructure needs