AI at the Edge

Bring intelligence closer to where data is created. Edge AI enables real-time decisions for factories, retail, logistics, and cities—without relying on constant cloud connectivity. SB Telecom Thailand architects end-to-end edge solutions: ruggedized hardware, optimized models, secure connectivity, and lifecycle management. Reduce latency and bandwidth while increasing privacy, resilience, and operational speed.

The Future is at the Edge

50%+ of enterprise data will be processed at the edge (Gartner).

AI models are moving closer to where data is generated.

IoT growth drives demand for real-time edge analytics.

Security-first design at the edge reduces risk.

Bandwidth constraints and high cloud egress costs limit centralized processing.

Intermittent connectivity requires local failover and offline operation.

Managing and updating distributed fleets at scale is complex.

Data privacy and compliance require on-device redaction and minimization.

Real-Time AI, Real-World Impact

Some decisions cannot wait for the cloud. Running models on devices and gateways delivers sub-second inference for safety, quality, and operations. We profile workloads, select hardware (CPU, GPU, NPU), and optimize models with quantization and acceleration. With streaming pipelines and local failover, systems keep working through outages. Results sync to the cloud for fleet analytics, governance, and retraining.

Edge is a system, not a box. We design secure boot, device identity, and remote management to operate fleets at scale. Observability tracks health, drift, and performance. CI/CD for models allows safe rollouts with canary and rollback. Data minimization and on-device redaction protect privacy. Integrated with your IoT connectivity and cloud, the edge tier becomes a reliable, governed part of your enterprise architecture.

Features

Edge Devices & Hardware

AI edge gateways, smart cameras, and industrial IoT devices.

Edge AI Software

Lightweight AI runtime and orchestration for real-time insights.

Edge Security

Protect data and devices with encryption, secure boot, and zero-trust access.

Edge Management

Centralized portal for remote provisioning, monitoring, and OTA updates.

Edge Use Cases

Factory AI inspection, smart retail analytics, renewable energy monitoring, healthcare AI.

Edge DataOps & MLOps

Model packaging, signed containers, canary deployments, telemetry-driven retraining.

Reference Architecture & Deployment Patterns

Standardize how you deploy edge AI—from pilots to thousands of sites. Our blueprint defines secure devices, identity, and segmented networks; a data path with on‑device preprocessing, redaction, and priority queues; and model delivery with signed containers and safe rollouts. Templates cover single‑site, hub‑and‑spoke, and multi‑tenant operations, each with built‑in monitoring and alerting. With policy‑as‑code, SIEM/SOAR integrations, and automated compliance evidence, IT retains control while business teams move faster. The result: lower deployment risk, predictable performance, and a governed edge layer that scales with your use cases.

Edge Lifecycle Services

Operate edge fleets confidently. We provide hardware qualification, imaging, provisioning at scale, and secure enrollment. Our managed service handles monitoring, patching, and model rollout with staged promotion. Runbooks cover incident response and RMA. Capacity planning and performance baselines keep SLAs intact as use cases and locations grow—turning edge into a durable, low-touch platform.