Eight New Edge AI Use Cases for Telecom Growth

Expanding Dell’s AI for Telecom with eight new edge AI use cases.

At Dell Technologies, we’re helping Communications Service Providers (CSPs) unlock the immense potential of AI with robust tools that enhance efficiency, drive revenue, and scale operations. Today, we’re thrilled to expand our Dell AI for Telecom portfolio with 8 new edge AI use cases developed in collaboration with Intel & Independent Software Vendors (ISVs) on Dell Edge AI infrastructure.  These empower CSPs to monetize AI at the edge more effectively, combining advanced technology and real-world applications to unlock value across industries.  

A Spotlight on Edge AI

Edge AI has the power to transform business operations by enabling data processing and analysis directly at its source. Instead of bringing data to AI, it brings AI to the data, streamlining processes and unlocking new possibilities. For CSPs, this opens up significant opportunities to offer Edge AI services that enhance performance and enable better outcomes for their enterprise customers across varying industries.  

Building on the success of our Dell AI for Telecom portfolio, these use cases equip CSPs with cutting-edge capabilities to address complex challenges their enterprise clients face. These powerful use cases give CSPs the tools to capture emerging opportunities and excel in a rapidly growing AI market. 

Introducing Eight New Innovations for Edge AI

These use cases incorporate optimized, pre-validated technologies designed to help CSPs accelerate the monetization of their edge AI investments. By venturing beyond traditional connectivity services, they can now deliver AI capabilities as-a-Service (aaS) to businesses, unlocking unparalleled value and fostering new growth opportunities. 

The Dell PowerEdge XR8000 ensures seamless, high-performance edge computing, while Intel’s OpenVINO Toolkit enables real-time, precise data analysis. Together, these technologies empower CSPs to offer tailored AI services that are faster, smarter, and more adaptable to the varied needs of industries worldwide. 

Here’s a closer look at how each can add value to telecom networks and their enterprise clients:  

1. LiDAR-Powered Geospatial Security

SAIMOS bring a use case designed for industries like critical infrastructure, retail, and manufacturing. By integrating LiDAR-powered video analytics, businesses can enhance site security with features such as intrusion detection, people counting, and heatmapping. CSPs can monetize by offering these AI capabilities aaS to businesses. 

Customer Highlights:
  • Enhanced situational awareness for quick decision-making  
  • Scalable and cost-efficient operations  
  • Practical use cases in smart cities, retail, and banking  

2. AI-Powered Facial Analytics

CyberLink enables businesses to boost security by upgrading existing network-based cameras. With facial recognition capabilities, this powers applications like secure access control, contactless time tracking, and demographic analysis. CSPs can monetize by offering these AI capabilities aaS to businesses.  

Customer Highlights:
  • Easily integrates with existing infrastructure for cost-effective upgrades  
  • Advanced capabilities for retail, healthcare, and industrial facilities  
  • Improved operational efficiency through automated authorization systems  

3. AI-Powered Multi-Sensory Analytics

Combining video, sound, and smell analytics, iOmniscient offers a unique multi-sensory evaluation tool. From traffic management to workplace safety, it delivers actionable insights while reducing false alarms and optimizing resource usage.  

Customer Highlights:
  • Supports smart city initiatives and public safety  
  • Energy-efficient with minimal hardware requirements  
  • Tailored for health, retail, defense, and manufacturing sectors  

4. AI-Powered Customer & Quality Experiences

The Lotus Labs use case provides venue operators with a comprehensive AI platform to optimize user experience. By analyzing real-time data on crowd density, queue times, and more, this tool ensures smooth and efficient operations for sports venues, retail spaces, and events.  

Customer Highlights:
  • Bird’s-eye view of venue management through a single dashboard  
  • Reduces labor and operational costs with high-precision insights  
  • Flexible IP camera integration for tailored configurations  

5. GenAI-Driven Customer Service & Content Delivery

Iterate.ai enables CSPs to deploy private large language models (LLMs) for data-secure customer service optimization. By generating responses from emails, documents, and databases, CSPs can streamline processes while ensuring data privacy.  

Customer Highlights:
  • On-prem deployment ensures no data leaks
  • Private document analysis and contextual customer support
  • Ideal for retail, manufacturing, and healthcare sectors

6. AI-Enabled Process Automation

Focusing on safety and productivity in manufacturing and construction, Tusker AI actively monitors processes and hazardous zones, reducing workplace accidents while optimizing workflows.  

Customer Highlights:
  • Proactive safety measures to ensure plant security  
  • Real-time operational monitoring for productivity boosts  
  • Anomaly detection for dynamic decision-making  

7. GenAI-Powered Audio Intelligence for Medical Transcription and Patient Interaction

Sandlogic applies advanced speech recognition and analysis to transform audio data into actionable insights. With multilingual support and sentiment analysis, CSPs can optimize call centers and customer engagement.  

Customer Highlights:
  • Real-time sentiment and vernacular tracking enhance customer understanding  
  • Secure, private processing ideal for regulated industries  
  • Scalable across retail, healthcare, and BFSI domains  

8. GenAI-Powered Public Safety and Enterprise Operations

NYBSYS extends operational connectivity and situational awareness for environments ranging from manufacturing plants to oil rigs. Leveraging SmartRIC and IoT devices, this improves safety measures and recommends optimizations for workers and machines.  

Customer Highlights:
  • Enhances occupational safety via precise location awareness  
  • Drives task automation to reduce costs and errors  
  • Scalable across energy, mining, transportation, and healthcare sectors  

Why Partner with Dell & Intel?

Dell and Intel offer CSPs a proven AI technologies, curated partner ecosystem, expertise, and support to bring AI to every corner of telecom operations. Key advantages include:  

  • Ruggedized Hardware: Optimized for extreme edge deployments  
  • Pre-Validated: Minimize setup time with pre-tested configurations  
  • Future-Ready Flexibility: Host AI workloads from core to edge seamlessly  
  • Collaborative Ecosystem: Benefit from working with trusted partners in AI innovation 
  • Streamline Deployments: System integrators (SIs) streamline edge AI deployment for telecoms by ensuring seamless integration, interoperability, and faster time-to-market, driving monetization opportunities

SIs play a pivotal role in helping telecoms deploy edge AI use cases for monetization by bridging the gap between complex technologies and seamless implementation. They simplify deployment by integrating hardware, software, and network components into cohesive solutions tailored to telecom environments. With their expertise, SIs ensure interoperability across platforms, enabling CSPs to deliver AI-powered services with reliability and precision. By streamlining processes, they also accelerate time-to-market, empowering telecoms to quickly capture new revenue opportunities and meet customer demands with edge AI capabilities. 

With these use-cases enabled on Dell PowerEdge XR8000 servers for Edge AI, CSPs now have powerful tools to help their customers across industries like manufacturing, retail, healthcare, finance, education, energy, and more integrate AI into their operations. By enabling deeper AI adoption at the edge, CSPs can strengthen customer relationships, position themselves as trusted digital service providers, and unlock new revenue growth opportunities. Explore the full range of the AI portfolio to see how Dell AI for Telecom can transform your business. 

Andrew Vaz

About the Author: Andrew Vaz

Andrew is responsible for the Telecom Systems Business product management at Dell Technologies. In his current role, Andrew oversees the overall strategy, prioritization, and development of products and solutions for the Telecom/Network Operations market. Andrew has more than twenty years of product management and leadership experience in the technology and telecom industries, previously serving as Vice President of Product Management for Juniper Networks’ WAN Solutions. Before working at Juniper, Andrew was responsible for product management for 5G solutions, access and aggregation, and service provider software and edge at Cisco Systems.