November 2024
Building Your Own Snowflake Optimization Solution Will Cost You More Than You Think
Building an in-house Snowflake optimization solution isn’t always cost effective. Here are some hidden costs to consider and how to avoid them.
Chalice AI Increases Snowflake Compute by 21% for the Same Spend
Chalice AI helps clients optimize their programmatic advertising campaigns around specific goals & targets (i.e. store sales, customer acquisition cost) through artificial intelligence and machine learning. These efforts require extensive data and compute resources. As Chalice AI grew, their Snowflake costs began to balloon. By implementing Keebo’s AI-powered warehouse optimizations, Chalice AI consumed 15,000 fewer Snowflake credits than previously and cut overall spend by 21%.
Allbirds Reduces Snowflake Spend by 19% with No Dip in Performance
Allbirds leverages Snowflake to store and utilize data from diverse sources, including their online Shopify ecommerce store, marketing data, and supply chain data. Data operations are managed by a relatively small team. To better allocate resources, Allbirds deployed Keebo’s AI-powered warehouse optimization solution, reducing spend by 19% and enabling a rightsizing provisioning of their Capacity credits to better match Snowflake usage patterns.
Busting open the AI Adoption Gridlock: ‘We Only Win When You Win’ Company Rewrites the Rules
Keebo's CEO, Barzan Mozafari, chats with Declan Dunn of The AI Optimist Project.