The Future of AI Ops: Exploring the Cake Platform Architecture
Cake is an end-to-end environment for managing the entire AI lifecycle, from data engineering and model training, all the way to inference and monitoring. This article will guide you through the...
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“DevOps on Steroids” for Insurtech AI
The insurance industry is uniquely positioned to benefit from machine learning and AI. Insurance data is typically unstructured: phone agents collect...
How Glean Cut Costs and Boosted Accuracy with In-House LLMs
Key takeaways Glean extracts structured data from PDFs using AI-powered data pipelines Cake’s “all-in-one” AIOps platform saved Glean two-and-a-half...
How a Materials Science Data Platform Saved a Year Building AI on Cake
Key takeaways Cake “cut a year off the product development lifecycle” for a leading R&D platform in the materials science industry. Cake delivers the...
How Ping Established ML-Based Leadership in Commercial Property Insurance
Key takeaways Ping saves the equivalent of 2-3 FTE engineers by managing AIOps through Cake. With Cake's support, Ping has built a seamless,...
