Tinyclues Vision

Building a flexible ML framework enabling marketers to create limitless ML-powered targeted campaigns.

Benefits and costs of using Airflow in a cloud-native environment

How to handle diverse data with a permeable data infrastructure

How we tweaked Google’s new SQL-based ML Framework to scale our inference stack and accelerate our product roadmap

Design Principals for traditional Software Engineering quickly fail when working with large and diverse sets of data — a new way of…

How we found a simple way to reduce the memory consumption of production models by up to 80% with no loss in predictive power!

The SQL language has allowed users to query and transform structured data for decades now.

How Self-Supervised and Transfer Learning Solve Real-life Marketing Problems

Will data clouds disrupt Martech giants?

Can you boost revenue without damaging customer equity?

Bridging the final mile from data to action

Efficiency vs reach is the oldest marketing debate. Thanks to deep learning, marketers can now have the best of both worlds.

Multi-tenant configuration management can be tricky. What if you treated it the way you treat code?

To build successful real-world predictive systems, control theory is as important as machine learning

Customer marketing is stuck between unsustainable mass campaigns and unscalable automated triggers. But there is a path forward.