
CTO Perspectives: An AI Reality Check
If you're in sales or management, it can be tough to tell what matters from noise. Here’s our reality check for the 2025 tech market, covering where AI truly stands today.
Check out our blog for our latest thoughts on data, AI, and digital products.
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If you're in sales or management, it can be tough to tell what matters from noise. Here’s our reality check for the 2025 tech market, covering where AI truly stands today.
E-commerce platforms struggle with mismatched product titles and images. We built a solution for a Kaggle challenge that uses BigQuery and Gemini to act as an automated catalog auditor, classifying millions of listings for consistency and providing actionable insights to improve data quality.
AI agents are here, and they’re not just suggesting actions. They are taking actions as well, on their own! The question is: who’s governing them?
Humanity has always tried to predict the future. We’re swapping tea leaves for datasets. We explore our collective obsession with AGI timelines, the moving goalposts of superintelligence, and why we ultimately decided to build a scoreboard to keep everyone honest.
Digital twinning allows you to minimize downtime when maintaining large-scale machinery. But it’s not exclusive to gigantic pieces of equipment—even something as small as a coffee machine can showcase its benefits.
Discover how to build a production-ready AI application on Databricks Apps in just under a month. Learn from our journey, challenges, and architectural choices.
dbt Labs recently announced dbt Fusion, a complete overhaul of the dbt Core engine built in Rust. It promises to significantly improve the developer experience. In this article, we test its core features and share our hands-on experience with the public beta, exploring what works, what doesn't, and what potential it holds for the future of dbt development.