Computers are smarter now than they’ve ever been.
Sensors, phones, tablets, cameras, and other internet of things (IoT) devices are capable of processing and acting on data without sending it back to a central server.
This shift is particularly critical for industries and operations that are far from reliable internet connections. Rural power lines, offshore oil rigs, or fleets of ships still need to process vast amounts of data in real-time.
Edge computing bridges the gap by embedding intelligence directly into IoT devices. These devices process and analyze data locally, make decisions instantly, and seamlessly synchronize with cloud systems when necessary. By balancing local processing with cloud integration, edge computing provides flexibility and resilience.
But edge computing comes with a host of misconceptions that can make the decision to invest in its infrastructure seem complicated and costly. Below, we’ll address common misconceptions about edge computing and provide clarity on its true potential.
The misconception: Edge computing replaces the cloud
Edge computing devices are designed to process and analyze data closer to where it’s collected. This setup can make them incredibly reliable in harsh conditions, such as during extreme weather or in locations with intermittent connectivity. It’s easy to assume that edge computing eliminates the need for cloud solutions.
The reality: The cloud is still a key player
Edge computing and the cloud don’t compete—they collaborate. While edge devices excel at immediate, on-the-ground decision-making, the cloud takes on the heavy lifting of long-term data storage, deeper analysis, and global accessibility. When a connection is restored, edge devices sync with the cloud to ensure every insight and division is backed up and ready for the big picture.
Take Viam’s approach, for instance: edge devices handle real-time tasks, like analyzing sensor data or responding to events in milliseconds. But they’re also designed to sync with the cloud when conditions allow, transferring key information for further processing, sharing, or storage.
This balanced approach blends the speed of local processing with the depth and reliability of cloud systems.
The misconception: Enterprise businesses can only rely on cloud computing
Cloud computing powers modern businesses with global data sharing and real-time insights. It’s a cornerstone of many enterprise strategies, but there’s a common assumption: without the cloud, nothing works. This belief can hold organizations back from exploring the real benefits of edge computing.
The reality: Edge computing complements cloud capabilities by enabling localized data processing
Edge computing brings something unique to the table: the ability to process data locally without constantly transmitting it to the cloud and back. This reduces latency and minimizes bandwidth usage, making it perfect for time-sensitive operations or environments with limited internet connectivity.
Instead of depending on continuous cloud access, edge devices can collect, analyze, and act on data in real time. By processing what you need locally and saving cloud resources for what matters most, edge computing helps businesses lower costs, improve responsiveness, and reduce strain on networks. It’s a smart addition to any modern tech stack.
The misconception: Edge computing guarantees better data security than the cloud
Because edge computing processes data closer to where it’s collected, it’s easy to assume that cybersecurity concerns take a backseat. After all, less data traveling over networks should mean fewer risks, right? However, this assumption overlooks the broader picture.
The reality: Security is a top priority—at the edge and in the cloud
While edge computing reduces the volume of data sent over networks, it doesn’t eliminate the need for robust security. Any system that integrates edge and cloud architectures requires airtight protection, especially during cloud synchronization, where data transitions could become vulnerable without proper safeguards.
Edge computing might limit exposure by processing data locally, but the eventual connection to the cloud is where vulnerabilities can arise. That’s why certifications like SOC 2 Type 2 exist—to ensure that both edge and cloud systems meet the highest standards for handling sensitive data.
Viam’s solutions prioritize security at every stage. From local processing to cloud synchronization, data is protected through encryption and compliance with industry standards, such as HIPAA for healthcare environments. This ensures peace of mind for organizations managing sensitive or critical information.
The misconception: Edge computing is only useful in remote locations
When people think about edge computing, they often picture IoT devices in far, internet-deprived places like oil rigs or rural farms. This perception can make businesses in more connected environments question its relevance.
The reality: Edge computing is beneficial even in environments close to strong internet connectivity
Edge computing is just as relevant for urban warehouses, large manufacturing facilities, or a bustling sports arena during game day. Just as every section of the venue—whether the locker rooms, concession stands, or press boxes—needs to stay connected, edge computing ensures seamless operations even in areas where connectivity might falter, such as deep within storage rooms or maintenance zones.
Recognizing this need for seamless functionality, Viam recently became the Official AI Technology Partner of UBS Arena and the New York Islanders.
Similarly, in large-scale industrial settings, such as a warehouse the size of multiple arenas, some devices may operate in areas with strong internet nearby but still fall into connectivity dead zones. Edge computing steps in to keep those systems running smoothly, no matter where they are.
The edge can be anywhere, indoors and outdoors, close to a strong internet connection or very far from one. It doesn’t have to be a particularly remote location either, and can simply be one where devices may go offline every so often when they need to be functional and collecting data 24/7.
With edge computing in place for these types of assembly lines, businesses can implement predictive maintenance to know when a machine needs repairs, and plan for them without stopping the entire operation unexpectedly.
The misconception: Edge computing setups are complicated and expensive
For many businesses, edge computing feels out of reach. The perception? High costs, complex setups, and a fragmented toolchain requiring you to piece together data collection, model building, and deployment services. The result? A patchwork process that’s harder to manage and budget for than it should be.
The reality: A unified platform makes edge computing simple
Edge computing doesn’t have to be overly complex. Platforms like Viam simplify the process by offering an all-in-one solution that’s ready to use. With a flexible, usage-based pricing model, businesses can scale from one device to many without unnecessary overhead.
Designed to be hardware-agnostic, Viam’s platform eliminates the need for custom configurations or juggling multiple systems. It provides tools to streamline operations, optimize workflows, and identify inefficiencies—whether data is processed locally, in the cloud, or a mix of both. This approach allows teams to focus on their priorities rather than managing infrastructure.
The misconception: Edge computing lacks flexibility
Edge computing is sometimes seen as rigid, designed only for fixed-use cases or specific configurations. This misconception can deter organizations with diverse needs.
The reality: Edge computing is inherently flexible and adaptable
Far from rigid, edge data solutions are inherently flexible. It gives you control over where and how data is processed—whether locally on devices or in the cloud. This adaptability allows businesses to tailor solutions based on their machines, environments, and operational needs. With edge computing, the power to design the right approach is always in your hands.
Why choose Viam for your edge computing needs?
Viam’s edge computing solutions bridge the gap between local processing and cloud integration. Our platform works seamlessly with your existing hardware and software, offering flexibility and scalability without unnecessary complexity.
With powerful AI-driven insights, you can uncover inefficiencies, reduce operational costs, and address pain points before they become problems. Whether your devices operate in a remote field, a bustling factory, or somewhere in between, Viam ensures that your edge computing setup is secure, efficient, and adaptable.
Take the next step
Edge computing is not just about technology—it’s about empowering your business to achieve more. If you’re ready to optimize your IoT systems and unlock new possibilities, explore Viam’s edge computing solutions. Book a demo today to see firsthand how Viam can transform your operations, streamline workflows, and help your business reach its full potential.
