What is ETL? Your Guide to Data Integration
Everyone is talking about the power of AI and machine learning (ML), but there’s a crucial, less glamorous step that makes it all possible: getting your data right. An AI model is only as good as the...
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What is Data Ingestion? Your Guide to Efficient AI
Are your AI projects moving slower than you’d like? You have the talent and the ambition, but progress feels stalled. Before you look at your models...
Top Databricks Alternatives for Modern AI Development in 2025
Databricks is a cloud-based data and AI platform designed to unify data engineering, data science, analytics, and machine learning workflows. Founded...
MLOps Pipeline Optimization: A Complete Guide
Getting a machine learning model (ML) from a data scientist's laptop into a live production environment is often a slow, manual, and frustrating...
Best Open-Source MLOps Tools to Build Your ML Stack
Machine learning (ML) is fundamentally a team sport, but too often, data scientists, engineers, and operations teams feel like they're playing...
Google Vertex Alternatives: Portability, Compliance, and Control
Google Vertex AI is Google Cloud’s fully managed AI and ML development platform. Launched in 2021, it consolidated services like AutoML, AI Platform,...
How to Build Scalable GenAI Infrastructure in 48 Hours (Yes, Hours)
Learn how Cake helped a team scale GenAI infrastructure in just 48 hours. Secure, observable, and composable, no glue code or rewrites required....
GPT-5 Is Here. So Why Are You Still Waiting to Build?
The release of OpenAI’s GPT-5 is the latest watershed moment for generative AI, pushing the boundaries of what's possible with LLMs. For engineering...
