Digital transformation is the next industrial revolution
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2 Digital transformation is the next industrial revolution Steam, water, mechanical production equipment Division of labor, electricity, mass production Electronics, IT, automated production Blurring the physical and the digital divide Industrial Revolution 4.0
3 Digital Capability Digital Masters perform better FASHIONISTAS DIGITAL MASTERS Revenue: +6% Revenue: +9% Profitability: -11% Profitability: +26% Market Value: -12% Market Value: +12% Revenue: -4% Profitability: -11% Market Value: -7% BEGINNER +9% Revenue Creation +12% Market Valuation +26% Profitability Revenue: -10% Profitability: +9% Market Value: +7% CONSERVATIVE Leadership Capability
4 86% of CEOs consider Digital their #1 priority Trends that will transform business, next five years (%) Technological advances Demographic shifts Shift in global economic power Resource scarcity & climate change Urbanization CEOs believe technology will transform their business more than any other global trend Source: PWC CEO Survey
5 Our Customer s Digital transformation Transforming the urban landscape Gathered data from sensors and systems to create valuable business intelligence and shift from reactive to proactive maintenance. Click to learn more Empowering global operations Collected data from 40,000 sensors around the world to create a best-in-class forecast that helps customers make critical operational decisions. Improving equipment to weather the storm Gained visibility into equipment usage and a path to predictive maintenance using machine learning.
6 Our Customer s Digital transformation Moving from action to insights Reduced development time and cost by 80% by gathering and analyzing data more efficiently and increasing automation across the company. Click to learn more Building efficiency with IoT Smart Connected Chillers initiative collected approximately 14 million records each day to inform more efficient building equipment. Filtering the signal from the noise Used analytics to discover actionable insights around fuel usage, predictive maintenance and stop unscheduled delays. Click to learn more
7 Rolls-Royce delivers advanced operational intelligence to airlines The Microsoft Azure platform makes it a lot easier for us to deliver on our vision without getting stuck on the individual IT components. We can focus on our end solution rather than on managing the infrastructure. Richard Beasley, senior enterprise architect, Rolls-Royce
8 Start with Preconfigured Solutions Predictive Maintenance Remote Monitoring Predictive Maintenance More to come
9 What you get with predictive maintenance solution Devices Azure IoT Suite Predictive Maintenance Web/ Mobile App Storage blobs DocumentDB Back end systems and processes C# simulator IoT Hub Stream Event Hub Web Jobs Logic Apps Azure ML
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12 From data to decisions and actions Action Value
13 Transform data into intelligent action Data Sources Information Management Data Factory Big Data Stores Data Lake Store Machine Learning and Machine Learning Intelligence Cognitive Services People Apps Data Catalog SQL Data Warehouse Data Lake Bot Framework Web Event Hubs HDInsight (Hadoop and Spark) Cortana Apps Mobile Bots Data Sensors and devices Stream Dashboards & Visualizations Power BI Automated Systems Data Intelligence Action
14 Information Management Data Sources Information Management Data Factory Apps Data Catalog Event Hubs Sensors and devices Data
15 Compose and orchestrate data services at scale Information Management SQL Data Factory INGEST Data Catalog DATA SOURCES <> SQL Event Hubs SQL { } Create, schedule, orchestrate, and manage data pipelines Visualize data lineage Connect to on-premises and cloud data sources Monitor data pipeline health Automate cloud resource management Move relational data for Hadoop processing Transform with Hive, Pig, or custom code
16 Get more value from your enterprise data assets Information Management Data Factory Data Catalog Event Hubs Spend less time looking for data, and more time getting value from it Register enterprise data sources, discover data assets and unlock their potential, and capture tribal knowledge to make data understandable Bridge the gap between IT and the business, allowing everyone to contribute their insights, tags, and descriptions Intuitive search and filtering to understand the data sources and their purpose Let your data live where you want; connect using tools you choose Integrate into existing tools and processes with open REST APIs
17 Ingest events from websites, apps and devices at cloud scale Information Management Data sources SQL Database Machine Learning Data Factory Data Catalog Apps Azure API Management Storage HDInsight Event Hubs Sensors and devices Data Backend Services Event Hubs Stream Power BI Log millions of events per second in near real time Connect devices using flexible authorization and throttling Use time-based event buffering Get a managed service with elastic scale Get a managed service with elastic scale Reach a broad set of platforms using native client libraries Pluggable adapters for other cloud services
18 Big Data Stores Data Sources Information Management Big Data Stores Data Factory Data Lake Store Apps Data Catalog SQL Data Warehouse Event Hubs Sensors and devices Data
19 A hyper-scale repository for big data analytics workloads Big Data Stores ADL Data Lake Store SQL Data Warehouse Devices LOB Applications Social Video ADL Store HDInsight R Web Sensors Spark Relational Clickstream Machine Learning A Hadoop Distributed File System for the cloud No fixed limits on file size No fixed limits on account size Unstructured and structured data in their native format Massive throughput to increase analytic performance High durability, availability, and reliability Azure Active Directory access control
20 Elastic data warehouse as a service with enterprise-class features Big Data Stores Data Lake Store Power BI Hadoop SQL Data Warehouse App Service SQL Database SQL Data Warehouse Intelligent App Machine Learning Petabyte scale with massively parallel processing Independent scaling of compute and storage in seconds Transact-SQL queries across relational and non-relational data Full enterprise-class SQL Server experience Works seamlessly with Power BI, Machine Learning, HDInsight, and Data Factory
21 Machine Learning and Data Sources Information Management Big Data Stores Machine Learning and Data Factory Data Lake Store Machine Learning Apps Data Catalog SQL Data Warehouse Data Lake Event Hubs HDInsight (Hadoop and Spark) Sensors and devices Stream Data Intelligence
22 Easily build, deploy, and share predictive analytics solutions Machine Learning and Machine Learning Data Lake HDInsight (Hadoop and Spark) Stream Simple, scalable, cutting edge. A fully managed cloud service that enables you to easily build, deploy, and share predictive analytics solutions. Deploy in minutes. Azure Machine Learning means business. You can deploy your model into production as a web service that can be called from any device, anywhere and that can use any data source. Publish, share, monetize. Share your solution with the world in the Gallery or on the Azure Marketplace.
23 Big data analytics made easy Machine Learning and Machine Learning Data Lake Data Lake HDInsight (Hadoop and Spark) Stream SQL DW SQL DB Data Lake Store Storage Blobs SQL DB in a VM Analyze data of any kind and size Develop faster, debug and optimize smarter Interactively explore patterns in your data No learning curve use U-SQL, Spark, Hive, HBase and Storm Managed and supported with an enterprise-grade SLA Dynamically scales to match your business priorities Enterprise-grade security with Azure Active Directory Built on YARN, designed for the cloud
24 Comprehensive set of managed Apache big data projects Machine Learning and Machine Learning Batch Script SQL NoSQL Streaming In-Memory Data Lake Map Reduce Pig Hive HBase Storm Spark HDInsight (Hadoop and Spark) Core Engine Stream Scale to petabytes on demand Process unstructured and semi-structured data Develop in Java,.NET, and more Skip buying and maintaining hardware Deploy in Windows or Linux Spin up an Apache Hadoop cluster in minutes Visualize your Hadoop data in Excel Easily integrate on-premises Hadoop clusters
25 Real-time stream processing in the cloud Machine Learning and SQL Database Machine Learning Event Hubs Blob Storage Data Lake HDInsight (Hadoop and Spark) Blob Storage Stream Event Hubs Table Storage Power BI Stream Perform real-time analytics for your Internet of Things solutions Stream millions of events per second Get mission-critical reliability and performance with predictable results Create real-time dashboards and alerts over data from devices and applications Correlate across multiple streams of data Use familiar SQL-based language for rapid development
26 Intelligence Data Sources Information Management Big Data Stores Machine Learning and Intelligence Data Factory Data Lake Store Machine Learning Cognitive Services Apps Data Catalog SQL Data Warehouse Data Lake Bot Framework Cortana Event Hubs HDInsight (Hadoop and Spark) Sensors and devices Stream Data
27 Build applications that understand people Intelligence Cognitive Services Bot Framework Cortana Faces, images, emotion recognition and video intelligence Spoken language processing, speaker recognition, custom speech recognition Natural language processing, sentiment and topics analysis, spelling errors Complex tasks processing, knowledge exploration, intelligent recommendations Bing engine capabilities for Web, Autosuggest, Image, Video and News
28 Your bots wherever your users converse Intelligence Cognitive Services Bot Framework Cortana Bot Connector Service: A service to register your bot, configure channels and publish to the Bot Directory. Connect your bot(s) seamlessly to text/sms, Office 365 mail, Skype, Slack, Twitter, and more. Bot Builder SDK: An open source SDK hosted on GitHub. Everything you need to build great dialogs within your Node.js or C# bot Bot Directory: A public directory of bots registered through the Bot Connector Service. Discover, try, and add bots to conversation experiences
29 Get things done in more helpful, proactive and natural ways Intelligence Here are some of the things I can help you with Cortana for Consumers (today) With the Cortana Intelligence Suite Cognitive Services Answers Public reference data answers How far is it from Los Angeles to San Francisco? Answers from organizational data in Power BI What were our biggest deals that closed last month? Bot Framework Cortana Predictions Event predictions Who do you think is going to win the Germany Italy game? Integration with prediction solutions Which of our customers are most likely to churn in the next quarter? Monitoring & Alerts Flight status, traffic conditions, changes in weather, Monitoring KPIs and preemptive alerting Alert me if this customer ever has a 90% chance of churn in the next 30 days Task Completion Setting reminders, scheduling meetings, getting directions, Line of business process integration Assistance with expense report submission on-time within policy
30 Dashboards & Visualizations Data Sources Information Management Data Factory Big Data Stores Data Lake Store Machine Learning and Machine Learning Intelligence Cognitive Services Apps Data Catalog SQL Data Warehouse Data Lake Bot Framework Event Hubs HDInsight (Hadoop and Spark) Cortana Sensors and devices Stream Dashboards & Visualizations Data Power BI Data Intelligence
31 Keep a pulse on your business with live, interactive dashboards Stream Event Hubs Power BI Machine Learning Dashboards & Visualizations Power BI Power BI Storage SQL database HDInsight Power BI for everyone, even non-data experts Your whole business on one dashboard Create stunning, interactive reports Drive consistent analysis across your organization Embed visuals in your applications Get real-time alerts when things change
32 Transform data into intelligent action Data Sources Information Management Data Factory Big Data Stores Data Lake Store Machine Learning and Machine Learning Intelligence Cognitive Services People Apps Data Catalog SQL Data Warehouse Data Lake Bot Framework Web Event Hubs HDInsight (Hadoop and Spark) Cortana Apps Mobile Bots Data Sensors and devices Stream Dashboards & Visualizations Power BI Automated Systems Data Intelligence Action
33 Example of Cortana Intelligence Suite in action Data Sources Ingest Prepare Analyze Publish Consume Diagnostic Streaming Machine Learning Power BI Sensors and devices Event Hubs Stream Stream HDInsight Machine Learning HDInsight SQL Data Warehouse Cortana Business apps Enterprise data sources Azure Blob storage Data Factory: Move data, orchestrate, schedule and monitor Data Catalog: Register, annotate, understand, discover data sets
34 Highest availability guarantee in the industry for peace of mind Managed, monitored and supported by Microsoft Enterprise-leading SLA 99.9% uptime No IT resources needed for upgrades and patching Microsoft monitors your deployment so you don t have to 99.9% SLA *Applies to HDInsight only
35 Runs in the most datacenters worldwide Central US Iowa North Central US Illinois West Europe Netherlands China North* Beijing West US California South Central US Texas East US Virginia East US 2 Virginia North Europe Ireland India Central Pune China South* Shanghai Japan East Tokyo, Saitama Japan West Osaka East Asia Hong Kong SE Asia Singapore Azure doubling compute and storage every 6 months Brazil South Sao Paulo State Australia South East Victoria Australia East New South Wales *Applies to HDInsight only
36 Manage and secure your data by leveraging existing IT investments Auditing, alerting, access control all from within a single web-based portal Azure Active Directory integration for identity and access management Leverage existing investment in Active Directory onpremises
37 Lower total cost of ownership No hardware Hadoop support included with Azure support Pay only for what you use Independently scale storage and compute No need to hire specialized operations team 63% lower total cost of ownership than on-premises* *IDC study The Business Value and TCO Advantage of Apache Hadoop in the Cloud with Microsoft Azure HDInsight
38 Recognized by top analysts Forrester Wave for Big Data Hadoop Cloud Named industry leader by Forrester with the most comprehensive, scalable, and integrated platforms* Recognized for its cloud-first strategy that is paying off* *The Forrester WaveTM: Big Data Hadoop Cloud Solutions, Q
39 Get started now Learn more on the Data Lake website: Watch videos on Azure Data Lake: Take courses and read documentation on Azure Data Lake:
40 2016 Microsoft Corporation. All rights reserved.
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