Snapshot
Abstract
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. Big Data, often related, is also becoming a reality for more and more companies; this report provides valuable insight into developer opinions on these topics.
This volume includes research and analysis covering topics such as Developer Demographics and Firmographics, Perspectives on the field of AI, Decision-Making for AI & Big Data, Enterprise AI, Barriers and Challenges for AI Data Analytics, AI Concept and Approaches, AI Methods, analytics tools, and services, security concerns for AI, ML, and Big Data, Conversational Systems & Virtual Assistants, Blockchain, Big Data the Cloud and IoT, Parallelism & AI development, Databases & Data Warehousing, and operating systems and languages.
