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Oracle Cloud IoT & AI Reference Architecture

Industrial IoT applications wired into ERP and SCM — OCI Streaming, Autonomous Database, Generative AI, Select AI and in-database machine learning.

Oracle Cloud Infrastructure · 5 architecture layers

End-to-end data flow

01

PLCs & Sensors

OPC-UA / MQTT

02

IoT Edge Node

Gateway agent

03

IoT Cloud / Streaming

Event ingestion

04

Autonomous DB

Self-driving DB

05

OCI AI / OML

In-DB ML + GenAI

06

OAC / Oracle Apps

BI + ERP/SCM

Architecture layers

L1

Device & Edge Layer

Oracle IoT Edge Node

Java agent on industrial gateways — OPC-UA, Modbus and MQTT into OCI

Oracle IoT Client SDK

C, Java, Python and JavaScript SDKs for telemetry and command handling

OCI Edge / Distributed Cloud

Run OCI services closer to plants for latency-sensitive control loops

L2

Connectivity & Ingestion Layer

Oracle IoT Cloud Service

Device registry, MQTT messaging, device models and virtualization

OCI Streaming

Kafka-compatible streaming for high-throughput sensor ingest

OCI Queue

Managed queues for reliable IoT commands and event buffering

Oracle Integration Cloud

iPaaS connecting IoT events to ERP, SCM and HCM with prebuilt adapters

L3

Processing & Storage Layer

Oracle Autonomous Database

Self-driving Exadata cloud DB — OLTP and analytics with ML in the database

OCI Object Storage

Tiered object storage for raw IoT lakes and model artifacts

Oracle HeatWave

Accelerated analytics and in-database GenAI on MySQL HeatWave clusters

Oracle GoldenGate

Real-time replication from IoT and operational stores into analytics

L4

AI / ML Layer

OCI Generative AI

Hosted Llama and Cohere models with private endpoints for industrial text workloads

Select AI

Natural-language to SQL against Autonomous Database for OT/IT analysts

AI Vector Search

Native vector indexes in Autonomous Database for RAG over manuals and tickets

OCI Generative AI Agents

Managed agents that ground answers in enterprise knowledge and tools

OCI AI Vision / Anomaly / Forecasting

Vision APIs, multivariate sensor anomaly detection and demand forecasting

Oracle Machine Learning

In-database ML with Python/SQL APIs — no data movement for many pipelines

L5

Industrial IoT Applications Layer

Oracle IoT Asset Monitoring

Asset health and utilisation with predictive maintenance workflows

Oracle IoT Fleet Monitoring

Vehicles and mobile assets — telematics, routes and maintenance

Oracle IoT Production Monitoring

OEE, cycle times, quality metrics and downtime tracking

Oracle IoT Connected Worker

Worker safety — location, environment sensors and hazard alerts

Oracle Analytics Cloud

ML-assisted BI with Autonomous Database integration for IoT KPIs

Industrial AI use cases

OEE & Production Analytics

IoT Production + OML + OAC

Predictive Maintenance

OCI Anomaly Detection + Asset Monitoring

AI-Powered ERP Integration

OCI GenAI + OIC + Oracle SCM Cloud

Connected Worker Safety

Connected Worker + OCI Vision

Fleet Intelligence

Fleet Monitoring + OCI Forecasting

In-Database ML & RAG

OML + Select AI + Vector Search

Key differentiators

ERP-native industrial IoT

Asset, fleet, production and worker apps sit beside Oracle ERP/SCM rather than as bolted-on dashboards.

Autonomous Database AI

Select AI, Vector Search and OML keep analytics and RAG next to transactional plant data.

Integration Cloud fabric

Hundreds of adapters move IoT events into finance, supply chain and HCM processes.

Manufacturing focus

OEE, connected worker and predictive maintenance packs shorten time-to-value on the shop floor.