News

AI, ML and Data Engineering InfoQ Trends Report - August 2021

Infoq

How AI, ML and Data Engineering are evolving in 2021 as seen by the InfoQ editorial team. Topics discussed include deep learning, edge deployment of machine learning algorithms, commercial robot platforms, GPU and CUDA programming, natural language processing and GPT-3, MLOps, and AutoML.

Visit Site

AI, ML and Data Engineering InfoQ Trends Report - August 2021
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