How Viva's Edge Computing Enhances Business Operations with Real-Time Data Processing
Data growth is explosive, and saving time during data transmission is crucial for business growth. Digital businesses need real-time information for efficient and quick decision-making; edge computing is the key. Recent reports reveal that a mind-blowing 402.74 million terabytes of data are created across the world daily, and this growth is all set to increase in the coming years. Handling this explosive amount of data in real-time will be a challenge with traditional methods like cloud computing. It is here that edge computing technology can come to your rescue.
With edge computing, data processing can be brought closer to the source. It processes data near the source on the edge server or local devices. It reduces latency and speeds response time, making data processing instant. It is ideal for environments where delays mean loss. Let us understand how edge computing enhances business operations with real-time data processing.
Edge computing brings computing and storage closer to one another to enable real-time processing and analysis. The principles of edge computing are proximity minimising data transmission distance by processing from the edge, optimising bandwidth by filtering and processing data at the edge, real-time responsiveness, making real-time decision-making easier and offline operation for uninterrupted functionality even when the network is unavailable.
Edge computing enhances business operations with real-time data processing in various industries.
- Smart cities use edge computing, where a number of devices and sensors collect data from various sources, such as surveillance cameras, traffic signals, and environmental sensors. Processing data at the edge helps smart cities respond in real-time, improve public safety, and optimise traffic movement.
- Industrial IoT embraces edge computing to revolutionise operations by improving real-time monitoring and control of equipment and machines. In manufacturing plants, edge devices process sensor data to check for anomalies, optimise production efficiency, and predict maintenance. Real-time data processing makes implementing Industry 4.0 technologies simple. In manufacturing units, using real-time data processing, you can predict equipment failures, monitor production lines, and optimise manufacturing processes. It increases productivity and reduces downtime, promising higher product quality.
- In the automotive industry, edge computing is critical in real-time decision-making for safety. Vehicles can analyse their surroundings by processing sensor data locally. They can detect obstacles, accelerate, measure distance, and make instant decisions without having to wait for data from a remote cloud server.
- Retail industries use edge computing to improve customer experience. It enables real-time customisation and targeted advertising. Edge devices collect customer information and use it to provide suggestions and deals based on their behaviour. Real-time data processing enhances customer experience and business operations. Managing inventory, marketing, analysing market trends, and improving stock management are ways real-time data processing can help improve the retail experience.
- Healthcare uses edge computing in telemedicine to monitor patients from a distance. Edge helps analyse critical data in real-time, saving time on diagnosis and treatment. Monitoring disease outbreaks and managing healthcare resources is simplified with real-time data processing. Real-time data processing ensures timely intervention to prevent health crises.
- Edge computing is used in real-time data processing in agriculture to increase crop yield and reduce water usage. It helps implement sustainable farming practices.
- Integrating real-time data processing through smart grids helps manage electricity distribution and consumption in real-time. It also helps manage demand and supply balance, reduce outages, and effectively integrate renewable energy sources.
- Real-time data processing improves data security and identifies fraudulent activities. Financial institutions use real-time analytics to monitor transactions, prevent real-time fraud, and detect suspicious activities. This helps improve security and reliability and safeguard financial systems.
Edge computing brings data storage and computation close to the destination, reducing latency and bandwidth usage. The closeness to the data source makes processing and decision-making faster. Moreover, edge computing reduces the time taken for data transmission from the server and back. Instead of receiving and sending data to the centralised cloud server, edge computing processes data at the edge for quicker response.
In the age of 5G technology, edge computing is crucial, as 5G provides low latency and high-speed communication. It is widely used in augmented reality, virtual reality, and real-time gaming. With edge computing, telecom providers can deliver minimal latency for enhanced user experience.
Edge computing supports network slicing, facilitating operators’ creation of a customised environment for applications, furthering optimisation. Edge computing is widely used in smart home technologies, making homes highly efficient and responsive.
Viva has advanced edge computing features for processing and analysing data in real-time locally. It helps with faster decision-making and improved operational efficiency, and it can help future-proof your business. For more information, call us for a demo.
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