USE CASE

Analyze and Contextualize Industrial IoT Data at the Edge

Empower real-time, data-driven decisions with local edge analysis and processing. Reducing time to deployment by 6 months and data processing and reporting times by 95%

Efficiency, Security, and Control for an Intelligent Edge

Improve Operational Efficiency

Reduce deployment times by six months with automated workflows and less manual intervention.

Zero Trust Security

Safeguard business data and intellectual property with Zero Trust secure access controls, even in unsecured environments.

Real-Time Decisions

Reduce data processing and reporting times by 95% by processing data at the edge.

Lower TCO

Reduce the need for onsite IT resources, eliminate expensive cloud bandwidth usage, and lower ongoing maintenance costs at scale.

Why Analyze and Contextualize Industrial IoT Data at the Edge

Organizations relying on cloud-based data processing often struggle with latency issues and bandwidth limitations, making it difficult and expensive to extract useful real-time insights. However, processing the large volume of Industrial Internet of Things (IIoT) data at the edge has also been challenging due to operational gaps and security vulnerabilities in their distributed edge environments. These obstacles hinder predictive maintenance, operational efficiency, and downtime prevention. Without the ability to process and contextualize data effectively at the edge, while keeping AI models and applications up to date, businesses struggle to optimize processes, respond quickly to changing conditions, and maintain competitiveness in increasingly digital and automated industries.

How ZEDEDA Helps You Analyze and Contextualize Industrial IoT Data at the Edge

ZEDEDA addresses the challenges of industrial IoT data analysis by providing a comprehensive edge orchestration platform that simplifies the deployment, management, and security of applications at scale. The platform supports diverse workloads, including cloud native workloads virtual network functions, legacy applications, and custom business logic, on the same hardware, offering increased scalability and flexibility for data processing. ZEDEDA’s Zero Trust architecture enhances security by protecting edge environments from breaches, while also enabling Zero Touch provisioning and eliminating the need for onsite IT resources.

Improve Operational Efficiency at Scale

Reduce manual intervention and streamline automated workflows to simplify edge management and increase the reliability of real-time Industrial IoT insights.
Remotely manage and update all aspects of device and application operations, eliminating the need for on-site IT staff.
Enable a consistent operational model across virtual machines, containers, cloud native workloads, and Kubernetes to reduce management toil and abstract away diverse hardware.

Zero Trust Security

Safeguard Industrial IoT data in-flight and business data at rest with secure encryption, even in unsecured, remote locations.
Ensure only approved and validated applications can run on nodes and access shared data with application attestation.
Enforce granular, role-based access control (RBAC) for all operations, enhancing security and preventing unauthorized access.
Address edge security challenges, including device tampering, theft, loss, unauthorized peripherals, and physical threats.

Real-Time IIoT Decisions

Adapt quickly to changing conditions with real-time insights.
Enable instant analysis of sensor data, providing actionable insights for faster decision-making without relying on the cloud.
Take advantage of advanced AI capability at the edge, including computer vision, predictive analytics, and predictive maintenance driven by IoT sensor data.
Sensitive data remains on-site, and encrypted reducing exposure to potential cyber threats during transmission.

Lower TCO

Reduce need for onsite IT resources, eliminate expensive cloud bandwidth usage, and lower ongoing maintenance costs at scale.
Achieve lower total cost of ownership (TCO) at the edge with zero-touch deployment and remote management.
Leverage commodity hardware , including uCPE devices, to reduce hardware and maintenance costs.

Case Study

Solving Connectivity Challenges in Industrial Environments

Many edge deployments within industrial environments confront challenges with network connectivity. This discussion with Jeff Griesel (SLB IT Architect), Raghu Vatte (ZEDEDA Field CTO and VP Strategy), and Daniel Derksen (ZEDEDA Product Manager) provides guidance on how to deal with complexities like intermittent connectivity, air gapped environments, and network security within distributed environments.

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RESOURCES

Video

One Connected Environment: How Emerson Relies on ZEDEDA to Enable Full Connectivity at the Edge

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Losant and ZEDEDA Partner to Deliver Scalable Edge and IoT Infrastructure

July 23, 2024

Webinar

Tackling Networking Connectivity Challenges in Edge Environments

Analyze and Contextualize Industrial IoT Data at the Edge

Efficiency, Security, and Control for an Intelligent Edge

Improve Operational Efficiency

Zero Trust Security

Real-Time Decisions

Lower TCO

Why Analyze and Contextualize Industrial IoT Data at the Edge

How ZEDEDA Helps You Analyze and Contextualize Industrial IoT Data at the Edge

Improve Operational Efficiency at Scale

Zero Trust Security

Real-Time IIoT Decisions

Lower TCO

Solving Connectivity Challenges in Industrial Environments

One Connected Environment: How Emerson Relies on ZEDEDA to Enable Full Connectivity at the Edge

Losant and ZEDEDA Partner to Deliver Scalable Edge and IoT Infrastructure

July 23, 2024

Tackling Networking Connectivity Challenges in Edge Environments

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