Transforming your edge strategy drives AI innovation
Organizations that evolve edge infrastructure to support today's demanding workloads reduce data transmission costs, enhance control over data, and deploy AI computing systems that flex to deliver real business outcomes.
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54%
Report operational efficiency gains from edge projects
51%
Observe tighter data security and control at the edge
42%
Experience stronger business or operational resilience
Overcome edge deployment challenges
Infrastructure constraints
Legacy edge is not fit for varied environments.
Infrastructure constraints
Edge workloads demand flexibility and resilience to adapt to evolving and industry-specific use cases. Environmental constraints and power limitations hinder performance in traditional deployments, with 24% of organizations reporting equipment damage in the field.
Operational complexity
Managing edge deployments can be resource intensive.
Operational complexity
Complex deployments increase costs and project timelines. Due to system integration difficulties or the need to upgrade infrastructure, one in three projects go over budget. Such delays create configuration drift that introduces security risk.
Limited skill sets
Talent gaps increase risk, inefficiency, and downtime.
Limited skill sets
Skill shortages, lack of coordination, and manual management exacerbate safety risks and disruption, with more than half of surveyed organizations reporting operational interruptions stemming from edge issues, and 41% reporting reduced profitability.
Lack of integrations
Poor integration limits edge efficiency and control.
Lack of integrations
Integration gaps across compute, network, storage, and security hamper interoperability and automation. This lack of full-stack infrastructure unification creates additional security risks and inefficiencies in edge management and solution upgrades.
Identify and prioritize edge use cases
Personalized customer engagement
Implement edge computing for hyper-personalization of customer interactions in retail banking, using real-time analytics to offer tailored services and improve customer experience.
Data security and compliance
Process sensitive financial data on site at the edge to simplify regulatory compliance, reduce data transmission risks, and ensure data privacy within the network perimeter.
Fraud detection
Utilize AI at the edge for real-time identification of financial crime and fraudulent activities, leveraging advanced data analytics and video surveillance to detect suspicious behavior.
Real-time processing
Minimize latency, enhance decision making, and ensure secure operations by leveraging edge computing for instant transaction validation and fraud checks.
Claim automation
Reduce manual effort and improve customer satisfaction by automating insurance claim processing at the edge using AI for faster assessment and payout.
Smart factory operations
Optimize manufacturing operations with edge computing for instant data processing and analysis to increase responsiveness, agility, and production line yield.
Supply chain optimization
Analyze production data at the edge in real time to optimize scheduling and respond faster to potential disruptions.
Industrial cybersecurity
Protect industrial environments from cyberthreats like ransomware and data breaches using advanced edge cybersecurity solutions, including firewalls and intrusion prevention systems.
Energy monitoring
Reduce emissions and outages by monitoring energy consumption to identify sudden spikes or temperature deviations that indicate inefficiency or impending failure, and balance energy use by shifting production between sites.
Predictive maintenance
Employ IoT sensors and edge analytics to predict equipment failures, reducing downtime and extending machinery lifespan through proactive maintenance.
Quality control
Improve inspection accuracy and response by using edge AI with computer vision to automatically detect product defects in real time.
Smart city and public safety
Deploy edge solutions to support smart city initiatives, enabling efficient data processing for applications such as traffic management and emergency response.
Threat detection
Enhance cybersecurity and implement zero-trust policies for critical systems, utilizing AI-driven monitoring at the edge for real-time threat detection and mitigation.
Simplify security management
Implement FedRAMP-authorized SASE solutions to provide converged, cloud-delivered security and unified IT management for federal, state, and local agencies.
Automated network management
Improve operational resilience and adaptability by leveraging edge solutions to automate network management and optimize infrastructure.
Remote patient monitoring
Deploy edge solutions that enable real-time data collection and analysis for improved patient care outside traditional hospital settings.
Connected first response
Utilize edge computing and 5G in ambulances for real-time streaming of vitals, video, and essential data to destination hospitals, facilitating faster and more accurate diagnosis and treatment enroute.
In-hospital patient monitoring
Process patient data locally within hospitals to ensure privacy and compliance, while improving overall visibility and providing real-time notifications for anomalous patient trends.
Secure data transmission
Protect sensitive information and maintain compliance with healthcare regulations by ensuring secure transmission and processing of patient data.
Augmented diagnosis
Leverage AI at the edge to support augmented diagnosis systems that provide healthcare professionals with enhanced patient care insights.
Operational agility
Inform staff decision making and improve store efficiency with real-time insights into customer traffic, sales, and other key metrics.
Real-time inventory management
Gain instant access to inventory information and optimize stock levels using edge solutions for smart inventory management.
Contactless and augmented shopping
Facilitate seamless customer experiences, including contactless checkout and augmented reality features powered by low-latency edge solutions.
Loss prevention
Reduce inventory shrinkage and improve fraud detection by deploying edge-based surveillance and analytics systems for real-time monitoring.
Personalization
Enhance customer experience with interactive displays and tailored recommendations that leverage edge AI to provide real-time information and engagement.
The volume of data at the edge is growing rapidly, and the ability to gather, analyze, and react to data in near real time is critical.”
Design your edge for what's next
Discover comprehensive insights and data by downloading the full white paper from IDC, "Transforming the Enterprise Edge: The Critical Role of Unified Edge Infrastructure for the AI Era."
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