Edge services
Bring the power of AI closer to the source of data with edge computing to act on insights and optimize workflows in real-time.
Overview
Discover the power of edge computing
Massive growth of IoT devices, decentralization of data sources and the need for remote operations are driving demand for edge computing. Edge brings applications’ data storage closer to the point of action. Combined with 5G and artificial intelligence, edge computing can transform industries.
IBM’s edge services provide a roadmap for hybrid cloud and edge computing to achieve workloads at scale, and co-create edge-enabled AI solutions, applications and platforms built on Red Hat OpenShift.
Benefits
Increase operational responsiveness
Optimize workflows and processes with real-time data processing and decisions with edge computing.
Drive manufacturing excellence and resilience
Scale analytics and AI at the edge in manufacturing for predictive maintenance, production quality inspection and worker safety.
Address latency and bandwidth issues with 5G
Run in-factory applications and digital media services at ultra-low latency with 5G to process real-time data from edge devices.
Edge services
Edge-enabled solutions
Manufacturing excellence for edge
Accelerate digital transformation in manufacturing with AI innovations at the edge to complement parametric data and address plant floor challenges.
Asset performance management for edge
Optimize asset performance and maintenance costs and reduce risk with data-driven decisioning at the point of work.
Worker and workplace safety
Draw real-time data from IoT wearables and environmental sensors to detect, analyze, predict and avoid workplace hazard.
Visual inspection
Deploy computer vision with deep learning to analyze images and video streams for classification and object detection.
Industrial acoustic insights
Use plant and equipment sounds to detect operational anomalies and defects and identify product quality issues.
IBM Edge Application Manager
Manage, scale and run your edge devices, applications and workloads anywhere with autonomous management.
Edge case studies
L’Oreal’s manufacturing innovation
L’Oreal enabled real-time visibility across machines, operators and sites to drive faster innovation.
Mayflower Autonomous Ship starts a new era of marine exploration
ProMare unlocked the secrets of the ocean with Mayflower Autonomous Ship operated by AI and edge technology.
Bharti Airtel builds its next generation core telco network
Airtel is transforming networks into open and secure hybrid multicloud platforms and preparing for the 5G and edge computing era.
Edge computing ecosystem partners
AT&T
Manage open hybrid cloud computing in a high-speed, low-latency, flexible wireless edge environment with AT&T Multi-Access Edge Computing (MEC).
Verizon
Drive industrial automation with enterprise-grade AI with Verizon's 5G Ultra Wideband (UWB) network and Multi-access Edge Computing (MEC) capabilities, alongside Verizon's ThingSpace IoT Platform and Critical Asset Sensor solution (CAS).
Siemens
Collect, process and analyze real-time data at the edge in manufacturing operations, supply chains and connected products using Siemen’s MindSphere, an industrial IoT-as-a-service solution.
Samsung
Modernize operations, accelerate Industry 4.0 and empower workers through Samsung's 5G network solutions and mobile devices. Enable greater efficiencies and new use cases with private networks.
Boston Dynamics
IBM partners with Boston Dynamics to deploy the Spot® robot as a mobile edge device, transforming manufacturing and industrial field inspection and remote asset monitoring.
Intel
Power your datacenter with 2nd Gen Intel Xeon Scalable processors for AI, 5G and data processing to the edge with 10th Gen Intel Core processors for IoT and edge.
Resources
What is edge computing?
Edge computing is a distributed computing framework that brings enterprise applications closer to data sources such as IoT devices or local edge servers. This allows high-performance analysis because data does not traverse over a network to a cloud or data center.
The future of edge computing
From retail to banking to telco, enterprises in just about any industry are exploring how edge computing can enable faster insights and actions, better data control and costs and continuous operations.
Three benefits of AI and edge computing in manufacturing
Traditional factories are a thing of the past — today’s smart factory is powered by advanced technologies. Learn the advantages of AI and edge computing for manufacturing.
Related solutions
Industry 4.0 Services and Solutions
Accelerate digital transformation in manufacturing and supply chain to achieve your Industry 4.0 vision.
IBM Cloud Satellite
Deliver cloud securely in any environment including at the edge.
IBM Systems
Put AI models to work at the edge with IBM Power® Systems and IBM Storage solutions.
Co-create with IBM Garage
Ideate, build, measure, iterate and scale solutions seamlessly with our end-to-end framework of design thinking, agile and DevOps practices. Achieve speed-to-value and adopt breakthrough technologies through the partnership created with your team and a diverse set of IBM experts in business, design and technology.