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2 IoT it not a technology revolution..

3 ..it is a business revolution enabled by technology

4 Creating value through real business impact $100M average increase in operating income among the most digitally transformed enterprises 55% average gross margin for businesses with leading data and analytics capabilities Power by the hour model maximizes aircraft availability, while cutting fuel usage by 1% can save $250,000 per plane, per year Data from sensors and systems create valuable business intelligence and reduce downtime by 50% Connected chillers are back online 9x faster than unconnected equipment, avoiding more than $300,000 in hourly downtime costs Access to production and supply chain data worldwide can reduce downtime costs by as much as $300,000 per day Microsoft IoT Influence Model, Keystone Strategy, 2016

5 IoT projects can be complex IoT platforms are designed to reduce this complexity

6 High barrier to entry Diverse ecosystem of devices and capabilities Fragmentation in protocols and standards Programming models are still emerging Cloud application developers are often not great at device app development..and vice versa Device provisioning and lifecycle management Different customer segments and expertise

7 Azure IoT Platform Secure connectivity, Bidirectional Messaging, Device Twin & Queries, Methods (RPC), Jobs Devices Devices Device SDK Edge Device HTTP, MQTT, AMQP Azure IoT Hub Azure Analytics, Machine Learning, LoB connectors, BPM IoT Application Device SDK BLE, ZigBee, LORA, MQTT Edge SDK HTTP, MQTT, AMQP Azure Device Provisioning Service Secure device provisioning & configuration

8 System integrators Solution providers (ISVs) Certification Programs Dev, IT and productivity Security programs

9 Customer Segments Azure IoT Suite Preconfigured solutions for common IoT scenarios Microsoft IoT Central Fully managed IoT SaaS No cloud solution expertise required Remote Monitoring Predictive Maintence Connected Factory

10 Difficult to maintain cohesive security System as secure as its weakest link Assets in an Iot application can be deployed in untrusted environments Multiple actors needs access to the data

11 Platforms like Azure IoT can help secure IoT applications Easy to consume SDKs and reference architectures for firmware and software attestation with hardware root of trust Help identify anomalous behaviors in a single or across a group of devices Provide sophisticated authorization & authentication models using role based access control (RBAC) for device assets with out-of-box tooling for OT to manage security policies across breadth of the IoT application Security programs that match up IoT application developers to security partners to validate and test app design and implementations

12 Edge computing Protocol transformations from fit-for-purpose protocols to IP Unreliable networks Constrained network resources High latencies

13 Azure IoT Edge Secure bootstrap & software attestation Local IoT Hub Container management Container based workloads Local Storage HA/DR, Cloud Dev/Test Support Azure IoT Edge Devices Azure Machine Learning (Container) Azure Stream Analytics (Container) Azure Functions (Container) Cognitive Services (Container) Custom Code (Container) Azure IoT Hub Local IoT Hub Container Management Agent Secure Bootstrap Local Storage

14 Challenging to scale and maintain availability over time Scale in number of devices Scale in throughput Burst scenarios Availability and disaster recovery is almost as important as security

15 Bread and butter for IoT platforms Economies of scale Azure IoT Scales horizontally to tens of millions of concurrently connected devices and more Millions of messages per second Strict latency percentile targets Applications can configure throughput at runtime Out-of-box disaster recovery and high availability SLAs

16 Schneider Electric Demo

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