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Hybrid Intelligence Framework for Augmented Analyticsстатья Глава в книге
- Автор: Ryjov Alexander
- Сборник: Intelligent Analytics with Advanced Multi-Industry Applications
- Редактор: Рыжов Александр Павлович
- Глава в коллективной монографии
- Год издания: 2021
- Издательство: IGI Global
- Местоположение издательства: Hershey, PA, United States
- Первая страница: 22
- Последняя страница: 45
- DOI: 10.4018/978-1-7998-4963-6.ch002
- Аннотация: Analytics is a key success factor for any business in the competitive and fast-changing world we live in. Using analytics, people, business, social, and government organizations become capable of understanding the past, including lessons from faults and achievements; realize current strengths, weaknesses, opportunities, and threats; and predict the future. Intelligent analytics allow doing these more effectively and efficiently. Modern analytics uses many advanced techniques like big data, artificial intelligence, and many others. This chapter aims to introduce the hybrid intelligence approach by focusing on its unique analytical capabilities. The state-of-the-art in hybrid intelligence—symbiosis and cooperative interaction between human intelligence and artificial intelligence in solving a wide range of practical tasks—and one of the hybrid intelligence frameworks—a human-centered evaluation approach and monitoring of complex processes—have been considered in this chapter. The chapter could be interesting for analysts and researchers who desire to do analytics with more intelligence.
- Добавил в систему: Рыжов Александр Павлович