Age of Digitization Internet of Things Organizations must transform in four areas in order to survive and thrive in this idea economy IoT is really about monitoring and using the relevant data from sensors, and accelerating change from these data. Internet of Things fits into the data-driven organization transformation area, but really touches on all four areas. IoT will often require a hybrid infrastructure to connect devices and data. Protection of your IT and devices will absolutely be paramount, especially when you begin controlling devices from automated analytics. And, mobility will be required to track and monitor people, vehicles, and materials throughout the organization. Data is the one connecting thread, and the data-driven decision making is the promise of Internet of Things. Shamel Janbek : Chief Enterprise Architect - ME Shamel.Janbek@hpe.com

In the Idea Economy, anyone can change the world Create new outcomes from apps, data and experiences Proactively manage all forms of risk Contextually aware and predictive Digital everything… everywhere, every day, everyone connected Every business is a digital business Disrupting every industry

3 Air quality Product delivery Telecom infrastructure Product electronics & entertainment Air conditioner Asset tracking Noise Security Electricity switch Access control Pumps Vibration Power distribution Lighting Digital signage Connected car Vehicle leasing Traffic lights Driver behavior Fire & emergency Roadside equipment 3

What is the Internet of Things? It’s about devices… Gartner estimates 26 billion connected devices by 2020. It’s about data… IDC predicts IoT data will account for 10% of the world’s data by 2020. It’s about connectivity… Because incredible things happen when you connect the unconnected. Let’s start with an acknowledgement: No one agrees on a precise definition of the Internet of Things. And most definitions talk about IoT from a technical perspective, not a business perspective. Gartner says IoT is “the network of physical objects that contain embedded technology to communicate and sense or interact with their internal states or the external environment.” [source: Gartner IT glossary 2015] Others call it “an informational network of intelligent devices and machines.” But what does that really mean? We can all agree on the key elements of IoT. First and foremost, it’s about devices—and not just the typical computing devices we usually think of first, like laptops and mobile phones and servers and storage systems. “Devices” in the Internet of Things includes everything from tiny sensors to single-application embedded devices like ATMs, smart meters, personal health monitors, trash cans that monitor their own “fullness,” soil monitors that tell you when it’s time to water—all the way up to large-scale industrial systems such as wind turbines, medical equipment, even aircraft engines. According to Gartner, there will be 26 billion devices connected to the Internet by 2020. IoT is also about data. In fact, it’s useful to look at IoT as a new source of data. All of those devices have something to say; their output is data. IDC predicts IoT data will account for 10% of the world’s data by 2020, of about 44 zettabytes. And the primary value of IoT is in that data, because the convergence of analytical insights enabled by connected devices can be used for enhanced decision making, automation, continuous improvement of business processes, and much more—if we can learn how to harness all that data and transform it into business intelligence. And, of course, IoT is about connectivity, because as we’ve all seen, incredible things happen when you connect the unconnected. Suddenly a simple forklift on a shop floor is a mobile business intelligence unit, translating inputs from all kinds of connected devices around it into insights that make the whole factory operation run better—from lights that turn on only when needed, to sensors that detect excess carbon monoxide levels, to systems that use power more efficiently, to sensors within the forklift that notify you of needed maintenance or repairs—the whole factory becomes an integrated, data-driven operation that prizes human safety, efficiency, and cost savings.

HPE addresses IoT requirements : Modular Building Blocks IoT platform Enable and manage the IoT value chain Security End-to-end, proactive, defense in depth Services Advise, transform, integrate, manage, analytics, governance Ecosystem Open, extensive, partner-driven Control Sense and respond, event management Data Contextual, insightful, at scale Big data services, repositories and data lakes Compute Distributed, deep edge to the cloud Wi-Fi LPWAN Fixed Cellular Streaming, event processing, location and context awareness Connectivity Ubiquitous, instant-on, reliable “Things” generate data and need control

HPE addresses IoT requirements : The Full Story Manufacturing Transportation Telecom Power Healthcare Security IoT platform Enable and manage the IoT value chain Security End-to-end, proactive, defense in depth Services Advise, transform, integrate, manage, analytics, governance Ecosystem Open, extensive, partner-driven Control Sense and respond, event management Data Contextual, insightful, at scale Big data services, repositories and data lakes DOUG: List of products for Doug – where they fit – Al to create. Application development and testing, app delivery (loadrunner) Compute Distributed, deep edge to the cloud Wi-Fi LPWAN Fixed Cellular Streaming, event processing, location and context awareness Connectivity Ubiquitous, instant-on, reliable “Things” generate data and need control

Intelligent Car Use Cases

IAV - Hyper-connected vehicles Requirements Need the ability to offer new and disruptive services to automobile manufacturers to enable car sharing, usage-based insurance, and assisted driving. Also need an IoT platform capable for real time connectivity, device management and analytics - not more apps. The Solution The Results HP’s IoT platform deployed to deliver various monitoring, optimization, and entertainment Smart Connected Car services Real time communication Vehicle-to-vehicle and vehicle- to-cloud Ability to offer new service to Auto OEM / Consumers such as smart maintenance / pro-active scheduling Enable new Business model like : Car sharing Usage based insurance Assisted driving

Distributed Mesh Computing : Retail Shop Example Only that intelligence is sent to the cloud Massive reduction in quantity of data Massive increase in quality of data https://www.labs.hpe.com/next-next/dmc

Some of the Main Global Alliances

In short You need them all, integrated and working in unison Professional Services / System Integration As you consider these five pillars and HPE’s capabilities in each of them, we want to emphasize that to maximize business outcomes, you need all of them, not just one, or two, or three. And that is precisely the advantage HPE brings to the table. We’re one of the very few partners that can give you leading-edge products, services, technologies, expertise, and proven solutions across all five categories. We are uniquely able to get them all working together, in unison, to deliver on the business outcomes you’re after. 11

Thank you Shamel.Janbek@hpe.com