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Global Artificial Intelligence and Machine Learning Survey – In-depth Interviews with 406 Qualified AI and Machine Learning Developers – GlobeNewswire

Dublin, April 19, 2021 (GLOBE NEWSWIRE) — The “Artificial Intelligence and Machine Learning 2020, Volume 1” report has been added to’s offering. This survey gives a comprehensive view of the attitudes, adoption patterns and intentions of artificial intelligence and machine learning developers worldwide. This series focuses on tools, methodologies, and concerns related to implementing machine learning, deep learning, image recognition, pattern recognition and other forms of artificial intelligence as well as efficiently storing, handling, and analyzing large datasets and databases from a wide range of sources. Artificial intelligence is permeating software development in many ways and many industries, which necessitates a thorough knowledge of how developers are doing this. This volume includes research and analysis covering topics such as developer demographics and firmographics, artificial intelligence landscape, methods and approaches, resources and services, conversational systems, speech and image recognition, enterprise AI, security, platform adoption, API frameworks, tools and languages, technology adoption, hardware, hardware optimization, parallelism, and high-performance computing, purchasing and influencers, challenges and barriers to success, AI as it relates to IoT, the Cloud, and containerization and more. This survey consists of 406 in-depth interviews conducted in English with qualified AI and machine learning developers worldwide. This provides a margin of error of 4.7%. Key Topics Covered:
What’s New
Executive Summary
Demographics & Firmographics
The Current AI Landscape
Motivations and Challenges in AI Projects
Frameworks, Libraries, and Models
Hardware in AI and Machine Learning
Conversational Systems and Speech Recognition
Image Recognition and Machine Vision
AI and the Cloud
Containerization and Container Orchestration
AI and the Internet of Things
Data Management and Data Science
Development Platforms and Platform Targets
Technology Adoption
Subject Matter Expertise
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