2. IoT is driving Digital Disruption of the Physical World
Accelerating advances
in technology
And transforming every part of business
Advanced analytics
Creating new products
and business models
Improving operations
and lowering costs
Driving engagement and
customer experience
Pervasive connectivity
Embedded sensors
Cloud computing
Product Lifecycle
Management
www.ibm.com/iot
3. What’s next ? Cognitive IoT that infuses new
intelligence into products, services and processes
Automotive Suppliers have
developed intelligent,
interconnected automotive
products that help proactively
manage vehicle service and deliver
enhanced entertainment,
navigation and communication
experiences to drivers
Airlines can now check service
and performance levels of
hundreds of thousands of parts on
each aircraft in real time and adjust
maintenance schedules to keep
more planes, and more
passengers moving on time.
Transform the customer
experience and relationship
Be the disruptor, not the
disrupted
Transportation companies
can optimize routes by tapping
weather and traffic data, bringing
products to market more efficiently;
they can monitor position and
performance in real time to get
cargo and drivers to the right place
at the right time
Boost operational efficiency
www.ibm.com/iot
4. 4
Cognitive systems aren’t
programmed. They learn from
virtually every interaction and the
surrounding context to unleash the
potential of the IoT.
At the Intersection of the Internet of Things
with the internet of people
Cognitive IoT enables us to
learn from, and infuse
intelligence into, the physical
world to transform business and
enhance the human experience.
5. 5
Outthink the limits of what’s possible …
Applies cognitive technologies to help change how
we approach and understand the world’s
information
Leverages data driven industries and economies to
bring cognition to everything and everyone
Reason and learns from data
IoT
• Platform of Platforms – IBM is committed to integrating with other leading platforms so customers are not forced to chose
proprietary tech stacks
• IoT specific security – security micro-services built specifically for IoT-based solutions
• Rich integration of contextual data sources – leading the industry at partnering with outside data providers (e.g. Weather
Company)
• Deep, industry-specific analytics models
Connects devices, gateways and endpoints
Secures and integrates device data and contextual
data
Scales via cloud-based services
Analyzes performance and utilization data
IBM Watson
IBM Watson IoT Platform
www.ibm.com/iot
6. 101
010
101
Platform
Everything you need to
innovate with IoT
Weather Data Social Sentiment
Performance
Business
TransformationConnecting the
data that matters
Ready your business for cognitive IoT
Start by deploying a highly secure, scalable, and open platform that lets you start small,
and grow quickly
Applications
Optimizing Operations for
Business Impact
Solutions
New business models for
industry
Device Utilization
7. IBM Watson IoT Platform - Connect
Connect and manage devices, networks, and gateways
IBM Watson IoT Platform - Information
Management
Integrating information, structured and unstructured, from
devices, people, and the world around us
IBM Watson IoT Platform - Analytics
Gaining insights from information using Realtime, Predictive
and Cognitive analytics
IBM Watson IoT Platform - Risk Management
Ensuring you leverage the right information from the right
sources, and the right software runs where you need it
The IBM Watson IoT Platform Offerings
Everything you need to transform with IoT
7www.ibm.com/iot
8. Uniquely IBM
IBM Bluemix environment for
IoT development
Composable services
development, runtime and
operations for your IoT apps,
running on IBM SoftLayer
global cloud
Integrate enterprise, device,
and 3rd party data
Combining weather data with
traditional business data and
rich data from an
unprecedented number of
Internet of Things (IoT) enabled
systems and devices will
fundamentally transform
enterprise decision-making.
Out think the competition with
Watson
Gain competitive advantage
with Cognitive and Advanced
Analytics services, such as
natural language processing,
machine learning, textual
analytics, and video/image
analytics.
www.ibm.com/iot
9. 9
Putting it all together – IoT from Chip to Cloud to App
The IBM IoT ecosystem helps companies build and deploy IoT end to end
Your silicon,
embedded OS &
Recipes
Connectivity & Security
technology
Silicon
Your IoT devices &
recipes for
connecting them
Connectivity & Security
technology
IoT Devices
Your network
Relationships & reach
Networks
Customer solutions
built on IBM IoT
technology
Solution
& Applications
Oil & Gas
Smarter Cities
Connected Vehicle
Life Science &
Healthcare
Energy & Utilities
Consumer
Electronics
Transport & Rail
Industrial
Manufacturing
IBM IoT Industry solutions
IBM GBS services
Industry sales &
distribution expertise
Additional value
add cloud services
Cloud
SoftLayer Cloud platform
Bluemix innovation
platform
IoT services
End-end IoT solution
Gateways
Your gateway and
recipes for
connecting them
Connectivity, Security
and edge analytics
IBMPartners
www.ibm.com/iot
10. IBM Watson IoT and Industry Innovation
Enabling new business models with integrated solutions
Automotive
Retail
Electronics
Industrial
Products
Insurance
Aviation
Energy &
Utilities
Chemical
&
Petroleum
Transport
Healthcare
Transform traditional business
with the capabilities of IoT
• Drive customer
relationships &
experiences
• Improve operational
efficiency & reduce costs
• Deliver new product and
business models
• Drive better customer
engagement
• Leverage Watson for
cognitive solutions
11. Less talking, More doing
Get started today
Learn more about IBM’s point of view
on the Internet of Things
ibm.com/IoT
Explore Watson IoT Platform with easy
demos and free trial
ibm.biz/try_iot
Sit in on a weekly IoT Webinar
http://www.ibm.com/internet-of-
things/iot-news.html
Join us in our IoT conversations
@WatsonIoT
www.ibm.com/iot
14. IBM Watson IoT Platform - Connect
Connect what matters….
Connect and manage your IoT devices,
Gateways and Networks from a broad and
growing ecosystem
Open standards based communications
(MQTT, HTTPS)
Secure communication and management
Globally scalable, starting with a single
device
The Hub for IoT Data
www.ibm.com/iot
15. IBM Watson IoT Platform - Information Management
Combine contextual data, such weather, with analytics and Internet of Things to deliver
better outcomes
Improve visibility of IoT systems through dashboard and
console reporting
Integrate critical data from other information platforms
such as Weather and social sentiment
Leverage advanced capabilities for data storage, caching
and transformation
Operate and analyze data from millions of
devices continuously in the cloud
16. Cognitive capabilities in IoT apps
IBM Watson IoT Platform - Analytics
Add cognitive capabilities to IoT data to produce new insights and intelligence
Monitor device behaviors in real-time
Drive automation to take appropriate, prescribed
actions
Forecast usage an operating conditions based on
environmental conditions
Gain insights from devices in context; adjusting
designs and manufacturing processes
Become smarter about operating conditions
www.ibm.com/iot
17. IBM Watson IoT Platform - Risk Management
Address privacy and manage risk through security and Blockchain capabilities
Enforce the appropriate level of security and privacy to
your IoT solution from the device through the network
to the cloud and beyond
End to end core security features for devices, data and
connections
Gain system wide confidence via Security Analytics
Provide support for secure decentralized systems such
as Blockchain
Leading Security Capabilities
www.ibm.com/iot
Editor's Notes
Cognitive IoT is not explicitly programmed. It learns from experiences with the environment and interactions with people. It brings true machine learning to systems and processes so they can understand your goals, then integrate and analyze the relevant data to help you achieve them.
There’s massive opportunity to be had, but the IoT also presents a significant data challenge as the scale, complexity and diversity of IoT data threatens to overwhelm traditional computing systems.
Traditional programmable systems are designed to handle specific scenarios and data sets. But IoT data doesn’t play by traditional rules. Images, videos, sound and machine-to-machine data all come together through the IoT. This data is then combined with data sources such as social media, weather reports and enterprise data, which provide additional context and relevancy that sharpens the value of insights.
Because of security concerns, regulatory and compliance requirements, costs, or simply the need for speed, much of this data must be processed at the network edge. IBM Watson technology represents the leading edge of cognitive computing—in fact, it’s virtually the only comprehensive cognitive computing solution. Using natural language to communicate with people, Watson technology virtually eliminates the need for users to know complex coding and have specialized IT expertise.
Cognitive computing provides the means for understanding and extending the insights gained from those massive volumes and diverse types of IoT data.
Maybe the most exciting thing about Watson technology is that it may forever shift the conversation from “What is the answer?” to “What are the possibilities?”
In the cognitive era, this is where the true competitive advantage first takes root.
Managing risk in IoT requires advanced capabilities – move