PowerPoint Presentation

IoT@MicrosoftMarco Antnio SilvaSolution Architectmadasi@microsoft.com

2013201420152016201720192018

2015105INTERNET OF THINGSPC, SMARTPHONE & TABLETGROWTH OF CONNECTED DEVICES1=1 BILLION UNITS0

2

442020

ZETTABYTES OF DATA4.420130.1620061 ZETTABYTE = 1 B TERABYTES

Satya Nadella, Microsoft CEOEverything is going to be connected to cloud and data... All of this will be mediated by software.

Empower every person and every organization on the planet to achieve moreCreate morepersonal computingReinvent productivity & business processBuild the intelligent cloud

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IoT projects can be complexLong timelinesHard to scaleDifficult to customize

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Provide connectivity to both existing and new devicesFacilitate new insights by harnessing power of untapped dataEnable fast solution developmentThe Microsoft investment principles for IoTThe Internet of Things starts with your things

Next-gen architectures

Managed services

DevOps

Internet of Things

A lot is happening in the cloud Do you have a strategy in place to harness open source innovation?Container-based application architectures in AzureFlexible open source-based IoT back ends in the cloud

Cloud-powered development and testing with open source workflow integrationHybrid use cases for open sourced-based LOB apps

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Azure Data PlatformAction

PeopleAutomated Systems

Apps

WebMobileBots

IntelligenceDashboards & VisualizationsCortana

Bot FrameworkCognitive Services

Power BI

Information ManagementEvent HubsData Catalog

Data Factory

Machine Learning and AnalyticsHDInsight (Hadoop and Spark)Stream AnalyticsIntelligenceData Lake Analytics

Machine Learning

Big Data StoresSQL Data WarehouseData Lake Store

Data SourcesAppsSensors and devicesData

Azure IoT Reference Architecture

Azure Services for IoT

Azure IoT HubConnect, secure, communicate, monitor and manage billions of devices

Azure Stream AnalyticsReal time stream processing for billions of IoT devices

Azure StorageBlob, SQL, DocumentDB, Data Lake. Storage to meet every need at the scale of IoT

Azure App ServiceWeb and mobile apps for any platform on any device

Power BIDashboards and data connectors to visualize any data

Logic AppsPowerful workflows to automate business processes

Azure Services for IoT - Recent AnnouncementsAzure IoT Gateway SDKCross platform middleware for field gatewaysConnect, manage and monitor multiple devicesProtocol translation & data normalization

Azure IoT Hub Device ManagementUpdate firmware, software, configuration on any device running any operating systemOrganize and update devices based on hierarchical topologies

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Azure IoT Suite Preconfigured SolutionsRemotemonitoring

Predictivemaintenance

Asset management

Pay for performance Operational efficiencySmart buildingsPredictive maintenanceSupply chain managementLifetime customer value Personalized offersProduct recommendationFraud detectionCredit risk managementCustomer Acquisition Cross-sell and upsell Loyalty programs Marketing mix optimizationCortana Intelligence scenarios

EXAMPLE SOLUTIONS

Sales and marketingFinance and riskCustomer and channelOperations and workforce

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Cortana Intelligence Preconfigured Solutions

Customer Churn

Product Recommendation

Sentiment Analysis

From zero to finished, analytical apps and scenariosPre-Configured Solutions designed to help customers jumpstart the creation of analytics solution

Allows customers to accelerates the process of building analytical apps

Go from zero to sample app in minutes, from sample app to finished solution in a week

2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.5/12/2016 11:43 PM16

MICROSOFT BAND 2

Introducing Microsoft Band 2

Microsoft Health and Bandis a core strategic expression of this vision

HEALTHCreate morepersonal computingReinvent productivity & business processBuild the intelligent cloud

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Microsoft Health and Microsoft Band Ecosystem

Web Dashboard

Health App

BandHEALTH

Packed with Eleven Sensors1234567891011Optical heart rate sensor3-axis accelerometer/gyrometerGPSAmbient light sensorUV sensorCapacitive sensorHaptic vibration motorMicrophoneGalvanic skin responseBarometer/altimeterSkin temperature sensor41261087395

Cross-Platform

Microsoft HoloLens

Stream Analytics

TransformIngestExample overall data flow and Architecture

Web logsPresent & decideIoT, Mobile Devices etc.Social DataEvent HubsHDInsightAzure Data Factory Azure SQL DBAzure Data LakeAzure Machine Learning(Fraud detection etc.)Power BIWeb dashboardsMobile devicesDW / Long-term storagePredictive analytics

Event & data producers

Azure SQL DW

IoT Hubs

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The Internet of Things Manufacturing

GLOBAL OPERATIONS

I can see my production line status and recommend adjustments to better manage operational cost.I know when to deploy the right resources for predictive maintenance to minimize equipment failures and reduce service cost.I gain insight into usage patterns from multiple customers and track equipment deterioration, enabling me to reengineer products for better performance.

MANUFACTURING PLANT

Aggregate product data, customer sentiment, and other third-party syndicated data to identify and correct quality issues. Manage equipment remotely, using temperature limits and other settings to conserve energy and reduce costs.Monitor production flow in near-real time to eliminate waste and unnecessary work in process inventory.

GLOBAL FACILITY INSIGHTImplement condition-based maintenance alerts to eliminate machine down-time and increase throughput. THIRD-PARTY LOGISTICSProvide cross-channel visibility into inventories to optimize supply and reduce shared costs in the value chain.

CUSTOMER SITE

Transmits operational information to the partner (e.g. OEM) and to field service engineers for remote process automation and optimization.

ManagementR&DField Service

Manufacturing PlantManage data remotely from a centralized location and push updates and key notifications to the factory floor, making relevant information available to manufacturing employees.Monitor whether components are arriving at the plant floor as expected, and slow production if needed to reduce or eliminate excess work-in-process inventoryPredefine rules for equipment use and plant management (e.g. shut down production or equipment based on demand or environmental data), to optimize productivity and profitabilityEstablish predictive maintenance schedules - with planned maintenance, cost of operations can be reduced and throughput can be increasedIdentify and correct quality issues with IoT and the ability to perform Big Data analytics, manufacturers can increase the number of quality checks that are performed, collect more quality inspection data and analyze more data than ever before. This enables them to spot defect patterns, and correct them more quickly. This also enables manufacturers to create predictive algorithms so that times/places where quality issues may occur are identified ahead of time. (e.g. extra humid day might imply more likelihood of quality issues)Customer Site and Third-Party LogisticsContinue to collect data from products once they leave the factory floor (e.g. throughout the distribution process and once implemented into customer sites) to help drive predictive maintenance and inform product improvements E.g. a water pump could send data indicating that it will break down in 2-3 weeks. An analyst at the customers OEM or service provider could determine whether the pump is in need of simple repairs, or whether it makes sense to refurbish it. The analyst could also identify a spare parts promotion that the customer could take advantage of so the customer is prepared for future maintenance needsAccess more data than ever before and integrate with 3rd party syndicated data to improve process and quality control (e.g. use data on regional weather patterns to determine locations where weather conditions will result in higher demand, or view data about fuel and other input prices to predict profit margins)Provide single pane of glass visibility across all distribution/sales channels this enables better inventory management and savings on logistics and distribution costs because the full channel would know would where products are, so redundancies can be reduced

Global Operationspowerful BI tools derive business insights from Big Data analyticsMake data available to the right individuals for a variety of purposes based on role, such as product development, facility and device servicing, or business and operations management26

The Internet of Things Retail

Marketing

1010010110100101000010101110101010010110100101001010111010101001010110101011010010110100101010MOBILE EXPERIENCE

STORE PURCHASE HISTORY:Dog food

M T W Th F

WeatherData

1001001001001001001011010010101100101101001010000101010101011010010110100101010

Merchandizing

IN-STORE SHOPPING

OnlineBehaviorShopping Route

REFLECTION

BESTDEAL

INSPIRATION,DISCOVERY,PRE-SHOPPING

PurchaseHistory

RIGHT OFFER, RIGHT TIME, RIGHT PLACEIoT DATA FUELS CUSTOMER AND PRODUCT INSIGHTS1001001001001001001011010010101100101101001010000101010101011010010110100101010

Dog