AI, ML, and Data Engineering InfoQ Trends Report—August 2022
In this annual report, the InfoQ editors discuss the current state of AI, ML, and data engineering and what emerging trends you as a software engineer, architect, or data scientist should watch.
How to Develop Software Engineering Skills in the Age of AIInfoq
Software Testing, Artificial Intelligence and Machine Learning Trends in 2023Infoq
Data-Driven Decision MakingInfoq
Accelerating Technical Decision-Making by Empowering ICs with Engineering StrategyInfoq
Applying Chaos Engineering in Healthcare: Getting Started with Sensitive WorkloadsInfoq
Grab Redesigns Counter Service Storage for 50% Lower P99 LatencyInfoq
Cloud Security Trends & Challenges: Complete GuideCybersecurity Exchange
Digital Forensics & Emerging Technologies GuideCybersecurity Exchange
State of Speech: Our New Data Report Reveals ASR’s Untapped Potential - Deepgram Blog ⚡️Deepgram
Build a Presentation Coaching Application with Recall - Deepgram Blog ⚡️Deepgram
The Most Important Work in AI Training Is Also the Most Overlooked - Deepgram Blog ⚡️Deepgram
NoSQLNow! 2014 Case Study: Bleacher Report on Redis LabsRedis
Data Ingestion: 6 Ways to Speed Up Your ApplicationRedis
5 ways to automate Browse AIZapier
How to connect Google Sheets to NotionZapier
Pancakes Are Delicious and Data Centers Are for Free StuffThenewstack
Explore and Visualize Data the Apache Superset WayThenewstack
Lessons Swift Designer Chris Lattner Has Learned about LeadershipThenewstack
Transform and Future-Proof Your Architecture with MACHThenewstack
Selecting the Right Database for Your MicroservicesThenewstack
