Artificial Intelligence and Machine Learning Survey: Motivations and Challenges in AI Projects –

DUBLIN–()–The “Artificial Intelligence and Machine Learning 2020, Volume 1” report has been added to’s providing.

This survey offers a complete view of the attitudes, adoption patterns and intentions of synthetic intelligence and machine studying builders worldwide. This collection focuses on instruments, methodologies, and considerations associated to implementing machine studying, deep studying, picture recognition, sample recognition and different types of synthetic intelligence in addition to effectively storing, dealing with, and analyzing massive datasets and databases from a variety of sources.

Artificial intelligence is permeating software program improvement in some ways and lots of industries, which necessitates a radical information of how builders are doing this.

This quantity contains analysis and evaluation masking matters equivalent to developer demographics and firmographics, synthetic intelligence panorama, strategies and approaches, sources and providers, conversational methods, speech and picture recognition, enterprise AI, safety, platform adoption, API frameworks, instruments and languages, know-how adoption, {hardware}, {hardware} optimization, parallelism, and high-performance computing, buying and influencers, challenges and limitations to success, AI because it pertains to IoT, the Cloud, and containerization and extra.

This survey consists of 406 in-depth interviews carried out in English with certified AI and machine studying builders worldwide. This gives a margin of error of 4.7%.

Key Topics Covered:

  • Overview
  • 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
  • Security
  • Data Management and Data Science
  • Development Platforms and Platform Targets
  • Technology Adoption
  • Subject Matter Expertise


For extra details about this report go to

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