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
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
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
6. 101
010
101
Platform
Everything you need to
innovate with IoT
Weather
Access
Social
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,
and grow quickly
Applications
Optimizing Operations for
Business Impact
Solutions
New business models for
industry
Devices
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
7
8. 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
9. Cognitive capabilities in IoT apps
IBM Watson IoT Cloud - 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
10. 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
11. IBM Watson IoT Cloud - 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
12. 12
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
13. IBM 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
• Invent new business
models
• Develop differentiated
solutions
• Improve operational
efficiency
• Drive better customer
engagement
• Utilize IBM innovation
14. 14
Dynamic Map Management
IBM IoT for Automotive
Enabling the next generation of connected vehicles
Real-Time Deep Analytics Road Network Dynamics
• Nanosecond level high
speed computing
• Real-time awareness of
vehicle and surrounding
• High accuracy and high
scalability map matching
• High performance
trajectory data
management & analytics
• Store and analyze
historical information for
actionable insights
• Traffic sign identification
and map generation
• Efficient in memory map
store and IDE for
application development
• Multiple map vendor and
version support
A Next Gen Vehicle
will produce more than
50 GB of data per hour
80% of new apps
will be distributed or
deployed on cloud
15. 15
Life cycle Management
IBM IoT for Electronics
Enabling the next generation service delivery of connected products
Scale Analytics Client Experience
• Tens of millions of devices,
on a cloud infrastructure
across >44 data centers
• Cost efficient and secure
information management
• Improve product & client
engagement thru connectivity
and analysis of usage
• Reduce service costs with
timely / accurate information
• Store and analyze information
for actionable insights and
pattern awareness
• Real-time for rapid awareness
and resolution
• Onboarding to updating –
secure and efficient
• Aftermarket service
management, from work
orders to work scheduling
<1% of data is currently used.
More must be used for
optimization and prediction.
80% of new apps
will be distributed or
deployed on cloud
17. IBM® Bluemix™ helped develop and
deliver a secure cloud based customer service
platform in just 10 days.
PhotonStar provided their customers with a secure
programming for customized smart lighting
controllers with secure backup, remote technical
support and password reset.
PhotonStar LED Group
develops an Internet of Things
Smart Lighting Customer
Service Platform in the Cloud
18. IBM Research Africa created cognitive
transportation data hub that uses smartphone
sensor data to monitor road infrastructure and traffic
conditions and provide fleet analytics.
IBM Watson IoT Platform provides the interface
between the smartphones and IBM InfoSphere®
Streams, which enables real-time assessment of
vehicle location and activity, along with other KPIs
Nairobi’s Living Roads
project illustrates how one
IoT app, on one device, can
change business models and
public services
19. Watson IoT platform will collect the data for
hundreds of thousands of connected devices,
analyze it, and provide the required business
intelligence and real time insights needed to help
design better products with fewer recalls.
It provides visibility to help understand product
performance patterns under real-world conditions.
Innovation solutions are
accelerated for global
provider of building elevator
and escalator technology,
modernization and
maintenance
20. One million users can now access platform without
drop off in service – 10X performance improvement
Speeds deployment and development of new
features with total platform control
Opens new business opportunities for additional
connected products
The Chamberlain Group Inc.
developed a mobile IOT app
that provides competitively
differentiated capabilities and
user interface
21. 70% decrease expected in customer service call
Time – improving service levels and customer sat.
50% reduction projected in service and parts
provision costs
Reduces IT costs with cloud-based hosting and
solution as a service delivery
Connected appliances provide
new link from customers to
warrantee services, product
design and automated retail
replenishment
22. 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
demo 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
27. 27
Run Your Apps
The developer can chose any language runtime or bring
their own.
DevOps
Development, monitoring, deployment and logging tools
allow the developer to run the entire application.
APIs and Services
Broad catalog of IBM, 3rd party, and open source, APIs
and services to compose an application in minutes.
Cloud Integration
Build hybrid environments. Connect to on-premises
systems of record plus other public and private clouds.
Expose your own APIs to your developers.
Built on IBM SoftLayer
No need to worry about provisioning or managing
infrastructure.
Composable services development, runtime and operations for your IoT apps
IBM Bluemix environment for IoT development
28. 28
New Watson IoT API families allow easy integration of
advanced analytics into IoT apps
Natural Language Processing
Enables interaction through natural human
language and dialog
Machine Learning
Automates data processing and continuously
monitors new data to learn and improve results
Textual Analytics
Enables mining of textual sources to find
correlations and patterns in these vast amounts
of untapped data
Video/Image Analytics
Enables monitoring of unstructured data from
video feeds and image snapshots to identify
scenes and patterns
29. 29
Question as a string
“Will the storm hit job site #123 tomorrow ?”
Question’s class (e.g. temp, rain,
snow, wind etc.)
Class=‘weather’
Class=‘snow’
WAV files over MQTT
WAV files over MQTT
(Class, Location,
Time)
(‘Tomorrow’)
Weather class data for
time and location
“Chances of stormy weather in Detroit
tomorrow is 20%‘
Stores DB
Job site #123 is in Detroit MI
Answer as a WAV file
Chances of stormy weather in Detroit
tomorrow is 20%
IBM & Harman Demonstrate an Open Cognitive
Interface at CES 2016
30. 30
Uniquely IBM: Weather and the Internet of Things
Impacting worker safety, maintenance, job plans, routing
Historical weather data
Historical Problem data
Predictive
Models
leveraging
weather data
Short term and long term forecasts
Scheduling
Safety
Asset failure/
performance
Prediction &
Actions
Correlate
problems
with
Weather
Immediate weather warnings
Current Operational data
Improved efficiency,
improved safety, and
new actionable
insights
01
0110
0010
001001Watson IoT platform
Asset Management
31. Injecting Weather Data into IOT
Thing/
Asset
Device
Data Source
(data)
i.e. Weather.com
Rule
Dashboard
Devices: represent the device that is
connected to the platform. Provide
access to the data and commands of
the device. A place to attach
metadata about the device.
Thing/Asset: represents a thing in
the physical world that the device is
a part of. Properties of the thing
come from devices or external data
sources. Actions on the thing result
in commands on the device.
Metadata such as location is
associated with thing.
[In time] Things can be composed of
other things.
Both devices and things are
available for rules and dashboards
Watson IoT Platform
Maximo TRIRIGAIOT
SolutionsDashboard Dashboard
Metadata is associated with the
thing/asset to identify categories of
additional information such as
weather.
Solution APIs associated with the
device/thing are driven to retrieve
or subscribe to “thing” data which
may include derived data, device
data, or associated data
Augmentation APIs associated with
the thing/asset drive external
requests to retrieve associated
classes of data (or serve from
cache)
Augmentation
APIs
Solutions
APIs
32. 32
Blockchain technology lends IoT advanced
security for transaction based industries
Breakthrough Advantages of Blockchain:
• Shared ledger (database) available across a large number of
nodes, even when network connectivity is poor, with no single
point of failure
• The owners of the nodes do not need to be trustworthy
• The ability for distributed nodes to securely interact with each
other without the need for a centralized authority
• The capability to make transactions visible to all participating
nodes
32
Notas del editor
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.
Secure high volume
Secure high volume
PhotonStar LED Group plc has developed an extremely innovative wireless lighting system based on ARM® processor technology that seamlessly integrates LED lighting, sensors and control. The PhotonStar halcyon™ system provides optimized lighting that emulates changing daylight and delivers the right light at the right time for health, productivity and wellbeing. Integrated halcyon network sensors collect real time environmental, behavioral and energy data that enables the system to operate as part of the Internet of Things (IoT) generating information that will drive new business models for
PhotonStar and new solutions for their customers.
To provide halcyon lighting system customers with online technical support PhotonStar needed a platform to deliver a gateway password reset service,
automatic system backup and recovery with remote access for troubleshooting as soon as the halcyon product was launched.
PhotonStar is building an Internet of Things (IoT) based customer service platform using the IBM Bluemix platform, Liberty for Java and Cloudant DBaaS.
Using IBM® Bluemix™ the development took 10 days and PhotonStar delivered a secure cloud based customer service platform for all of its halcyon product range on time for its product launch.
Nairobi is one of the world’s fastest-growing cities, which places increasing pressure on its systems and infrastructure. Experts estimate that Nairobi loses up to USD 1 million every day due to congestion’s impact on lost productivity, fuel consumption, traffic accidents, air quality, and many other issues.Road conditions have a wide range of impacts on the lives of Nairobi’s citizens, the efficiency of its businesses and the ability of its government to drive change. Where road conditions are poor or unknown, it is hard to manage traffic effectively. This leads to congestion and dangerous driver behavior, which delay vital civic services such as garbage collection, and in turn, raise public health issues and impact business.
IBM Research – Africa’s mobility team realized that a locally relevant solution was the key: Nairobi needed a method of capturing data about road and traffic conditions that would not require the investment and maintenance costs of a traditional solution. The team came up with an elegant, low-cost answer: they installed adapted smartphones in a number of the city’s waste collection trucks. As the trucks drive around the city, the phones’ sensors, such as accelerometers, magnetometers, gyroscopes and GPS, stream data about each vehicle’s location, speed, acceleration and vibration levels to an IBM analytics solution in the cloud. The solution offers huge potential for Nairobi to become an exemplar African smarter city by using a cost-effective and smart approach for gathering actionable insight about traffic flows, while also enabling smarter decisions about street planning and road safety. By building fleet services that capture real-time traffic dynamics, road surface conditions and driver behavior at low cost, IBM and Nairobi are demonstrating to the world how locally relevant, contextualized innovations can increase government efficiency, provide cost-savings across sectors, and create new potential revenue streams.
A global provider of building infrastructure selected the IBM innovative IoT solution to build their predictive maintenance capabilities enabling them to monitor trends and anticipate potential issues before they arise, helping plan maintenance schedules, improve overall efficiency, reduce downtime, and improve quality of service. IBM IoT solution will help the client constantly monitor the quality of its products and facilities as well as the performance of the equipment to help them in their continuous improvement and business excellence.
The IoT solution will connect up to 100,000 devices during the first 24months and this number is expected to increase exponentially thereafter. IoT platform will collect the data for the connected devices, analyze it, and provide the required business intelligence and real time insights needed to help the manufacturer design better products, fewer recalls, and better quality aligned with their brand identity. The solution will also provide the required visibility to help understand product performance and identify product defects or failure patterns under real-world conditions. This will help our client to predict, forecast, and most importantly provide a better experience for their end users.
With an enhanced Internet of Things (IoT) platform, the Chamberlain Group can deliver mobile application services to one million users at a time while providing fast, innovative features that are simple to use. Customers can use their smartphones to open or shut their garage doors with a single touch of the screen or check the current status of their garage doors from anywhere in the world. Customized notifications can also alert users if a door has been left open for a specified amount of time. These functionalities and the ability to provide a seamless user experience to a growing customer base have given the Chamberlain Group a competitive edge in the industry.
With the scalability of the new platform, the company is now investigating ways to expand its services to connect with other home and garage products.
A comprehensive connected appliance initiative is helping one major consumer products company look forward across several major areas of their business:
When it comes to customer engagement and service, IoT can help the manufacturer connect with and provide better service to its customers. Connected appliances put customer and machine information at call center representatives’ fingertips at the start of any call. Instead of spending time determining who is calling, which machine they have and what the problem is, the representative will receive the critical information directly from the appliance's diagnostic platform, allowing for faster problem resolution. The customer experience improves with fewer, shorter and more efficient service calls, and a reduction in repeat visits.Warranty, repair and replacement-parts costs comprise the second area in which the client can gain a sharp edge over its competition. Instead of arriving at the customer’s door essentially blind to the cause of an appliance problem and replacing multiple components in the hopes of resolving the issue on the first visit, technicians can carry the right part for the job based on the machine’s own diagnostic information provided to the call center agent. In the future, the company can use the collected sensor data and historical information to predict when a part or component is likely to fail, replacing it before the customer can experience a problem. The manufacturer expects that the cost of replacement parts may drop by at least 50 percent, helping self-fund future design improvements and breakthroughs that can help generate more revenue.
Optimized machine operations, future product design and new revenue streams make up the third area in which connected appliances can provide the manufacturer with significant advantage over its competition. For example, IoT analytics can identify analyze items like use frequency and environmental conditions to correlate patterns in service calls and continually improve product and service level offerings
Natural language Processing Example :
A technician asks about symptoms an asset is displaying. The system uses additional context including location and asset data to understand the intent of the query and returns suggestions for possible causes and repairs.
Machine Learning Example :
The system monitors incoming data from a fleet of equipment to learn both normal and abnormal conditions taking into account environment and production processes which are often unique to each piece of equipment and location.
Textual Data Example:
An asset analyst uncovers emerging problems and identifies possible root causes by analyzing the unstructured text found in customer problem reports and maintenance logs.
Video/Image Analysis
Example:
Production environments are monitored with video cameras and sensors, and a worker entering a hazardous area without the proper safety equipment is automatically notified and a safety incident is logged.
Weather is perhaps the single largest external swing factor in business performance – responsible for an annual economic impact of nearly half a trillion dollars in the U.S. alone1. While weather prediction is increasingly precise and granular, business systems generally assume every day is the same. As a result, knowledge of impending extreme weather disruptions – or even routine disruptions that drive well understood behaviors and systemic reactions – don't always trigger operational responses. 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.
At its essence, blockchain is a distributed ledger shared via a peer-to-peer network. Each participant has a copy of the ledger’s data, and additions or changes to the chain are propagated throughout the network—but only after the parties in the transaction agree on it. This approach enables participants to dispense with a great deal of reviewing and verifying that adds to the cost and time it takes to complete transactions.
Example in real life :
Companies could store transactions with suppliers around the globe in a shared blockchain, rather than manually exchanging data from separate databases. For instance, Car rental agencies could use smart contracts that automatically allow rentals when; your proof of license (Government agency), lease terms (Bank) and insurance information (Insurance co) are confirmed through a blockchain record. When all of these three agreements are out there on the chain, we form the final agreement, which is, the car is yours and you now own it for the period of time described by the terms of the contract.