New ML Kit features easily bring Machine Learning to your apps
Posted by Brahim Elbouchikhi, Director of Product Management and Matej Pfajfar, Engineering Director
Google Developers Launchpad introduces The Lever, sharing applied-Machine Learning best practicesdevelopers.googleblog.com
New Dialogflow features: how to use them to expand your Actions’ customer support capabilitiesdevelopers.googleblog.com
New experimental features for Daydreamdevelopers.googleblog.com
How to use App Engine Memcache in Flask apps (Module 12)developers.googleblog.com
A2UI + MCP Apps: Combining the best of declarative and custom agentic UIsdevelopers.googleblog.com
Reminder: ClientLogin Shutdown scheduled for April 20, 2015developers.googleblog.com
Trained on 100,000+ Voices: Deepgram Unveils Next-Gen Speaker Diarization and Language DetectionDeepgram
NoSQLNow! 2014 Case Study: Bleacher Report on Redis LabsRedis
Redis Enterprise Rising!Redis
The Proven Redis PerformanceRedis
Rapid `14 Q1 Growth, 23K+ Customers, 45K+ Instances, 4 Clouds (and 10 Regions)Redis
Redis Labs’ Customers Award Accolades!Redis
Money! Money! Money!Redis
Redis Cloud PrivateRedis
How Redis is Used in Practice | RedisRedis
An Introduction to Redis-ML. Part OneRedis
A Success Story Worth Sharing: Glide.me and Redis LabsRedis
Redis Hacking at the HSHacks III HackathonRedis
Redis Achieves ISO 27001 Cybersecurity CertificationRedis
Local Kubernetes Development Using Minikube and Redis EnterpriseRedis
