IoT

The Internet of Things (IoT) promises a wide range of benefits for industry, energy and utility companies, municipalities, healthcare, and consumers. Data can be collected in extraordinary volume and detail regarding almost anything worth measuring, such as public health and safety, the environment, industrial and agricultural production, energy, and utilities. New data analysis tools have been optimized for the massive amounts of data that IoT produces, enabling well-informed decisions to be made quickly. Before you can successfully plan and implement an IoT solution, you must understand thevarious factors that will drive your decisions. But putting IoT systems into place can be acomplicated proposition with unique considerations distinctly different from traditional ITsolutions. Business professionals often have little or no foundation for understanding of the componentsand design decisions that go into an IoT project. They may have a traditional understanding of ITsolutions which includes knowledgeof networks, cloud computing, and applications running onservers, desktop computers, and mobile devices.

The Internet of Things (IoT) promises a wide range of benefits for industry, energy and utility companies, municipalities, healthcare, and consumers. Data can be collected in extraordinary volume and detail regarding almost anything worth measuring, such as public health and safety, the environment, industrial and agricultural production, energy, and utilities. New data analysis tools have been optimized for the massive amounts of data that IoT produces, enabling well-informed decisions to be made quickly.

The Internet of Things Foundation training course provides an overview and insight into the emerging technology.
The course covers the basic concepts, terminology, and key components of IoT. It explains the business perspectives of IoT including the advantages of early adoption and monetization models. It further expands on the technologies enabling IoT and the various challenges to expect. Several scenarios describe the use cases and applications of IoT that result in smart applications and services to inspire organizations making the move to IoT. The course provides future insights in IoT and forecasts the status of the connected world in 2020.

The Internet of Things (IoT) promises a wide range of benefits for industry, energy and utility companies, municipalities, healthcare, and consumers. Data can be collected in extraordinary volume and detail regarding almost anything worth measuring, such as public health and safety, the environment, industrial and agricultural production, energy, and utilities. New data analysis tools have been optimized for the massive amounts of data that IoT produces, enabling well-informed decisions to be made quickly. Before you can successfully plan and implement an IoT solution, you must understand thevarious factors that will drive your decisions. But putting IoT systems into place can be acomplicated proposition with unique considerations distinctly different from traditional ITsolutions. Business professionals often have little or no foundation for understanding of the componentsand design decisions that go into an IoT project. They may have a traditional understanding of ITsolutions which includes knowledgeof networks, cloud computing, and applications running onservers, desktop computers, and mobile devices.

The Internet of Things Foundation training course provides an overview and insight into the emerging technology.
The course covers the basic concepts, terminology, and key components of IoT. It explains the business perspectives of IoT including the advantages of early adoption and monetization models. It further expands on the technologies enabling IoT and the various challenges to expect. Several scenarios describe the use cases and applications of IoT that result in smart applications and services to inspire organizations making the move to IoT. The course provides future insights in IoT and forecasts the status of the connected world in 2020.

The Internet of Things (IoT) promises a wide range of benefits for industry, energy and utility companies, municipalities, healthcare, and consumers. Data can be collected in extraordinary volume and detail regarding almost anything worth measuring, such as public health and safety, the environment, industrial and agricultural production, energy, and utilities. New data analysis tools have been optimized for the massive amounts of data that IoT produces, enabling well-informed decisions to be made quickly.

The Internet of Things (IoT) promises a wide range of benefits for industry, energy and utility companies, municipalities, healthcare, and consumers. Data can be collected in extraordinary volume and detail regarding almost anything worth measuring, such as public health and safety, the environment, industrial and agricultural production, energy, and utilities. New data analysis tools have been optimized for the massive amounts of data that IoT produces, enabling well-informed decisions to be made quickly. Before you can successfully plan and implement an IoT solution, you must understand thevarious factors that will drive your decisions. But putting IoT systems into place can be acomplicated proposition with unique considerations distinctly different from traditional ITsolutions. Business professionals often have little or no foundation for understanding of the componentsand design decisions that go into an IoT project. They may have a traditional understanding of ITsolutions which includes knowledgeof networks, cloud computing, and applications running onservers, desktop computers, and mobile devices.

The Internet of Things (IoT) promises a wide range of benefits for industry, energy and utility companies, municipalities, healthcare, and consumers. Data can be collected in extraordinary volume and detail regarding almost anything worth measuring, such as public health and safety, the environment, industrial and agricultural production, energy, and utilities. New data analysis tools have been optimized for the massive amounts of data that IoT produces, enabling well-informed decisions to be made quickly.