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Data Analytics in the Era of the Industrial Internet of Things / by Aldo Dagnino.
- Format:
- Book
- Author/Creator:
- Dagnino, Aldo., Author.
- Series:
- Computer Science (SpringerNature-11645)
- Language:
- English
- Subjects (All):
- Computer networks.
- Industrial engineering.
- Production engineering.
- Quantitative research.
- Technological innovations.
- Computer Communication Networks.
- Industrial and Production Engineering.
- Data Analysis and Big Data.
- Innovation and Technology Management.
- Local Subjects:
- Computer Communication Networks.
- Industrial and Production Engineering.
- Data Analysis and Big Data.
- Innovation and Technology Management.
- Physical Description:
- 1 online resource (XVII, 133 pages) : 61 illustrations, 53 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2021.
- System Details:
- text file PDF
- Summary:
- This book presents the characteristics and benefits industrial organizations can reap from the Industrial Internet of Things (IIoT). These characteristics and benefits include enhanced competitiveness, increased proactive decision-making, improved creativity and innovation, augmented job creation, heightened agility to respond to continuously changing challenges, and intensified data-driven decision making. In a straightforward fashion, the book also helps readers understand complex concepts that are core to IIoT enterprises, such as Big Data, analytic architecture platforms, machine learning (ML) and data science algorithms, and the power of visualization to enrich the domains experts' decision making. The book also guides the reader on how to think about ways to define new business paradigms that the IIoT facilitates, as well how to increase the probability of success in managing analytic projects that are the core engine of decision making in the IIoT enterprise. Useful for any industry professional interested in advanced industrial software applications, including business managers and professionals interested in how data analytics can help industries and to develop innovative business solutions, as well as data and computer scientists who wish to bridge the analytics and computer science fields with the industrial world, and project managers interested in managing advanced analytic projects.
- Contents:
- Chapter 1: Industrial Internet of Things Framework
- Chapter 2: Industrial Analytics
- Chapter 3: Machine Learning to Predict Fault Events in Power Distribution Systems
- Chapter 4: Analyzing Events and Alarms in Control Systems
- Chapter 5: Condition Monitoring of Rotating Machines in Power Generation Plants
- Chapter 6: Machine Learning Recommender for New Products and Services
- Chapter 7: Managing Analytic Projects in the IIoT Enterprise.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-63139-0
- 9783030631390
- Access Restriction:
- Restricted for use by site license.
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