While cloud computing laid the groundwork for digital transformation, edge computing is leading the future by bringing data processing closer to where it's needed most.
As artificial intelligence (AI) and Internet of Things (IoT) devices become ubiquitous in industrial settings, the ability to process data at the source will deliver the ultimate upper hand for businesses.
But what exactly is edge computing? How are leading manufacturers putting it to work? And most importantly, how can your operation leverage this technology to stay competitive? Let's explore these questions and the trends we're seeing across industries.
WHAT IS EDGE COMPUTING?
Edge computing processes data at the source — whether on machines, sensors, or local servers — rather than sending everything to a central cloud. This decentralized approach is crucial for industries that rely on real-time data processing and instant decision-making. This speed and autonomy is what makes it a game-changer for industrial automation.
Credit: Schneider Electric
HOW EDGE COMPUTING BENEFITS COMPANIES
Edge computing delivers significant advantages across industries. By reducing the need to send large volumes of data to the cloud, it helps companies optimize operations, reduce waste, and maintain business continuity even in challenging environments — and that’s just the beginning.
Faster decision-making
Every second counts in today’s automation-heavy industries. Processing data locally allows manufacturers to respond immediately to equipment issues, reducing downtime and waste. AI-driven predictive maintenance also thrives in an edge environment, identifying anomalies before failures occur.
Lower costs and improved efficiency
Reducing cloud storage and bandwidth usage translates to major cost savings. Logistics companies, for example, can cut response times and reduce data transmission costs by processing data in warehouses rather than continuously sending it to the cloud. This approach improves operational efficiency while keeping data management costs under control.
Enhanced security and compliance
Keeping sensitive data on-site minimizes exposure to cybersecurity threats. Edge computing ensures data sovereignty and compliance with strict industry regulations, making it particularly valuable for industries like healthcare, defense, and finance.
Resilience for every environment
Edge computing ensures uptime even when cloud connectivity fails. This capability is especially critical for remote manufacturing sites where internet connectivity may be weak or inconsistent. By processing data locally, businesses can maintain operations without reliance on external networks.
Industry leaders like OnLogic offer industrial-grade hardware designed for harsh environments, ensuring edge deployments remain operational despite dust, vibration, temperature fluctuations, or moisture. This combination of durability and processing capability means you can automate virtually anywhere — from remote mining operations to offshore platforms — without compromising performance or reliability.
Credit: Automate LIVE with OnLogic
TRENDS DRIVING THE ADOPTION OF EDGE COMPUTING
From AI-powered automation to private 5G networks, companies are leveraging cutting-edge advancements and automation tech to maximize efficiency, sustainability, and scalability. As edge computing adoption grows, there are several emerging trends to keep on your radar.
Advancements in AI
AI models are becoming increasingly capable of making real-time decisions. This has accelerated investment in edge computing, allowing businesses to automate processes faster and more intelligently than ever before.
The rise of private 5G networks
Edge computing and private 5G networks go hand in hand. Companies like Ericsson are deploying 5G-powered edge solutions to enable seamless machine-to-machine communication, improving automation capabilities across industries.
Demand for sustainability and energy efficiency
Localized data processing significantly reduces the energy consumption associated with cloud operations. Companies such as Schneider Electric are leveraging edge computing to optimize energy use, reinforcing its role in sustainable industrial automation.
The growth of Industrial IoT (IIoT)
Smart factories and connected supply chains are becoming the norm. Edge computing enables IIoT applications to function with minimal latency, ensuring smooth and efficient automation processes.
Credit: Siemens
WHAT TO CONSIDER BEFORE IMPLEMENTATION
Like with any new technology, implementing edge computing can come with challenges. Businesses should carefully evaluate infrastructure readiness, security risks, and scalability before deploying edge solutions.
Infrastructure readiness
Deploying edge computing requires the right hardware, software, and network infrastructure. Businesses need to assess their existing systems and determine what upgrades are necessary.
Security and cyber threats
With more data processed at the edge, organizations must implement robust security measures. Safeguarding edge devices from cyberattacks is critical to maintaining operational integrity.
Scalability for future growth
Edge computing solutions must be built to scale. Companies should start with pilot projects, measure impact, and gradually expand deployments. Digital transformation leaders like Siemens offer scalable solutions for businesses making the transition.
HOW TO GET STARTED WITH EDGE COMPUTING
Are you ready to integrate edge computing into your operations? While we have three very high-level steps to get you on your way, we always recommend talking to the experts and finding trusted partners to navigate this journey with you.
Identify key use cases for your organization
Determine where edge computing can provide the most value, such as predictive maintenance, quality control, or logistics optimization. Evaluating pain points and business needs will help define the right applications for implementation.
Choose the right technology partners
Work with trusted providers to ensure a smooth transition. Explore the Automate exhibitor list to find companies (like the ones mentioned in this article) that offer edge solutions tailored to different industries and can provide guidance on deployment strategies.
Start with deploying a pilot project
Before rolling out edge computing company-wide, test it on a small scale to measure impact and refine the approach. Pilot projects help businesses assess ROI, troubleshoot issues, and ensure a seamless transition to larger implementations.
EXPLORE EDGE COMPUTING AT AUTOMATE
Whether your company is ready for edge computing or not is ultimately up to you. But staying aware of what’s possible in automation and technology is always beneficial — no matter what stage of the journey you’re on.
As industries continue to push the boundaries of AI, IIoT, and digital transformation, edge computing will remain a fundamental driver of innovation. Now is the time to explore its potential at Automate. Register for FREE today!
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