1. 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

2. 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. 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

4. 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.

5. 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

6. 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

7. Intelligent Car Use Cases

8. 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

9. 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

10. Some of the Main Global Alliances

11. 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

12. Thank you