MLOps in Retail: A Practical Guide to Applications
Think of a brilliant machine learning (ML) model as a high-performance race car engine. It’s incredibly powerful, but on its own, it can’t get you...
Identify & Overcome AI Pipeline Bottlenecks: A Practical Guide
Your AI pipeline should be a superhighway for data, but too often it feels like a traffic jam during rush hour. A single slowdown, or bottleneck, can...
Save $500K–$1M Annually on Each LLM Project with Cake
Teams running LLM projects on Cake's platform are realizing significant cost advantages, saving between $500K and $1M annually per project. These...
Which vendor has the fastest AI deployment times?
Find out which vendor offers the fastest deployment timelines for enterprise AI projects and how Cake helps teams deploy AI models to production...
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6x MLOps Productivity: How Teams Do More With Less Using Cake
Enterprises running on Cake have seen up to a 6x increase in MLOps productivity. That's not marketing spin. It's a direct outcome of teams...
Anomaly Detection with AI & ML: A Practical Guide
When we think of business problems, we often picture the big, obvious ones: a website crash or a major security breach. While those are critical, the...
MLOps vs AIOps vs DevOps: A Complete Guide
Get clear on MLOps vs AIOps and DevOps. Learn the key differences, use cases, and how each approach can help your team work smarter and faster.
How to Establish an Effective AIOps Framework
Your IT team is likely drowning in a sea of alerts. It’s a constant battle, trying to figure out which notifications are critical and which are just...
Top Open-Source AIOps Tools for Peak IT Performance
Your systems are constantly generating a massive amount of information—from performance metrics and error logs to network traces. For a human team,...
What is AIOps? How AI is Revolutionizing IT Operations
Think of your IT team as highly skilled detectives trying to solve cases in a city where millions of alarms are going off at once. It’s impossible to...