Technologies in IoT and Embedded Systems

Virtualization

• Technology simulates hardware functions by creating multiple virtual machines on a single physical server.
• Virtualization detaches software from hardware, transforming physical devices into logical folders or files.
• Applications include server virtualization, desktop virtualization, and storage virtualization.

Cloud Computing

• Combines hardware and software to offer on-demand, measured computing services over the Internet.
• Functions like utilities; allowing instant file access from anywhere.
• Examples include cloud storage (Google Drive, iCloud), language translation (Google Translate), and streaming services (Netflix, Apple TV).

Internet of Things (IoT)

• A network of diverse physical objects sharing data autonomously via the Internet.
• Enhances real-time data communication between devices such as GPS systems and sensors.
• Key technologies include RFID, sensor technology, and embedded systems.

Big Data

• Characterized by high volume, variety, and velocity of complex datasets, analyzed at increasing rates.
• Provides analytical capabilities for sectors such as banking, healthcare, and education.
• Applications include tracking illegal trading activities in banking, evidence-based medicine in healthcare, and measuring teacher effectiveness in education.

Fog Computing

• Proposed by Cisco, it expands cloud computing by processing data closer to the ground in edge devices rather than distant clouds.
• Supports real-time data insights distribution to local users in various environments such as factories and public services.

Edge Computing

• Decentralized cloud computing model where data is analyzed locally rather than transferred to the cloud.
• Expected to enhance IoT capabilities and is seen as the next significant advancement post-cloud computing.

Artificial Intelligence (AI)

• Allows machines to learn from experience, adapting to new inputs and performing human-like activities.
• Applications include facial and voice recognition, chatbots, and robots.
• AI is a key player in driving digital transformation alongside cloud computing and big data.

Impacts on Business Organizations

• Computers streamline data organization, reducing human error, and improving management processes.
• Effective data handling through applications like Microsoft Excel and SQL Database enhances decision-making.

Impacts on Government

• Computing technology accelerates processing time for paper and service requests, improving public service efficiency.
• Comprehensive data storage solutions help government agencies manage public information more effectively.

Robotics

• Supports various fields such as engineering and research, providing machines capable of complex tasks beyond human abilities.
• Notable example: Sophia the Robot, designed for human-like communication and expression.

Education Technology

• Advanced technologies facilitate accessible, high-quality education through blended learning and online courses.
• Innovations in learning methods aim to enhance students' educational experiences and broaden access to advanced knowledge.

Healthcare Advancements

• Computing improves patient data analysis, evidence-based treatment, and overall healthcare management.

Test your knowledge about the key technologies that power the Internet of Things (IoT) and their relationship with cloud computing and big data. This quiz covers essential concepts such as instant translation technologies and features of embedded systems. Dive into the dynamic world of technology and understand the characteristics of high-volume data.