1. Watson Internet of Things
Hexamite
12/12/2016
Tony Deering - Watson IoT Solutions Consultative Executive - tony.deering@us.ibm.com
Chris Moore - Watson IoT Platform and Solutions Executive - chrmoore@us.ibm.com
2. With IoT, Clients are looking to…
Engage with clients and markets
in new ways
Rapidly and securely connect
devices
Optimize operations
Enable new business models
Facilities
Vehicles Home Health
Factories
Transport
IBM Watson IoT Platform
IBM Watson IoT Solutions
Facilities Mgmt
Asset Performance
Connected Products
Work Mgmt
Health & Safety
Operations
Product
Development
Streamline Business Workflow
3. Data is driving transformation
25 Billion
Installed IoT devices by 2020
70% of IoT Uses
Projected to be B2B & B2B2C
4. 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
6. 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.
7. The right mix of Big Data & Analytics capabilities
enables better decisions and increases the business
value
6
How can everyone
be more right…
….more often?
Descriptive
What has happened?
Predictive
What could happen?
Prescriptive
How can we achieve the best outcome?
Cognitive – e.g. Watson
Tell me the best course of action?
Big Data
& Analytics
Business
Value
8. 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
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
9. 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
8
Anomaly Detection
Blockchain
Firmware Updates
Watson IoT Platform
10. Watson IoT Platform Connect – Secure Connections
IBM Watson IoT Platform
Sensors &
Networks
01
0110
0010
001001
Devices
Platform
• Support for direct connection
• MQTT
• HTTPs (publish)
• WebSockets
• Secure Connections
• TLS 1.2
• Token based authentication
• Packet size up to 128K
• Based on highly scalable
MessageSight technology
11. Watson IoT Platform Connect – Gateways
Device
Device
Device Gateway IBM Watson
IoT Platform
• Support for indirect connections
• IBM provides Gateway Interface – Gateway developed by partners
• Devices behind gateway can use any kind of protocols
• Gateway connects using a secure direct connection
• Devices behind gateway can be auto-registered
• Device behind gateway appear as normal devices on the platform
• Gateways send events and receive commands on behalf of attached devices
12. 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
11
Anomaly Detection
Blockchain
Firmware Updates
Watson IoT Platform
13. Watson IoT Platform – Information Management
IBM Watson IoT Platform
Sensors &
Networks
Other
Data Sources
Weather
Map
01
0110
0010
001001
Devices Platform
Other IoT platforms
• Parse Data
• Translate Data
• Filter Data
• Aggregate Data
• Store Data
Social
14. IBM & The Weather Company
• Weather Company data is now available through API on Bluemix …
“Insights for Weather”
• Incorporate weather data natively
into your IoT applications
15. 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
14
Anomaly Detection
Blockchain
Firmware Updates
Watson IoT Platform
16. Natural Language
Processing (NLP)
Video and Image
Analytics
Text Analytics
Machine Learning
Watson IoT API families
Easy integration of advanced analytics into IoT apps
Machine Learning
Natural Language
Text Analytics
Video/Image/Audio
IBM Confidential
Streaming Studio
17. IBM is a Leader in Defining IoT and Building Ecosystems
Participating in and driving key open
standards and industry initiatives
Deriving value through strong industry
partnerships and open ecosystems
Wide variety of
supported devices
Self Service
Open ecosystem
Simple tutorials
Connect in
moments
Connecting diverse devices to the
Watson IoT Platform
18. Enterprise-ready
components to
connect, secure,
provide data
insight, assemble
and manage IoT
Applications
What Makes Watson IoT Platform Different?
• Device neutral – IBM does not
compete with its sensor, gateway,
network, and processor partners
• Built on open standards
• Data neutral – IBM’s business
model does not depend on owning
its customer’s data
• Privacy protection and access
control
• 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
Most Trusted IoT Platform
• Watson-inside – machine
learning and cognitive
• Industry models – deep,
industry-specific analytics
models
• Third party data sources –
leading the industry at
partnering with outside data
providers (e.g. Weather
Company, ESRI Geospatial,
Telcos)
• Industry Integrations – easily
push and pull data from leading
industry solutions, both IBM’s
and its partners’
Industry Leading Analytics
• Global data centers – 40+
data centers across the globe
• Low latency and high
throughput at enterprise scale
• Hybrid delivery form factors...
public cloud, dedicated
cloud, on premise
• Bluemix and Softlayer – built
to work on IBM’s core cloud
offerings but also deliver the
transactional scale required by
the new world of IoT
Unmatched Scale and Scope
3B four-year
investment in
cognitive IoT
4,000 plus clients
750 IoT patents
20 Industries, in
25 countries
15B security
events managed
daily
10,000 security
clients in 133
countries
21. Elimination of
manual operations95%
100%
Shorten customer
service call time by 70%
Prediction of ground events
for high risk engines
Reduction of time
for software error correction
90%
Improvement
in process efficiency
98%
In cost and
performance benefits
$700M
reduction in
manual processes
93%
IBM helping customers achieve results with IoT
Improvement in
steering decisions due to quality insight
20%
Notas do Editor
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.
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.
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.
Industrial Internet Consortium => Designed to create standards in Industrial IoT, including Energy, Healthcare, Manufacturing, Public Sector, and Transportation. IBM was founding member in March, 2014.
Identification
This is an ongoing process where we review monthly our selected categories and add/prune as needed.
Each category is assigned an owner who is responsible for lead generation, partner relationships, and status
Ratio is 140 touchpoints/14 ideation sessions/7 completed projects
Cold calls, client execs, offering management teams, sales team
Need to reach out to client execs, sales leaders – who else can help? Can we leverage the sales team for upsell into existing engagements?
Outcome: Build pipeline, qualify pipeline, Identify key stakeholders for QP
Connect
NDA in place – this seems to be par for the course, but a bit unusual – perhaps because we’re non-traditional!
Goal: Identify 2-3 use cases of mutual interest, identify symbiotic business relationship
Identify joint customers (if applicable)
Typically on the ground – f2f – 0.5 to 1 day based on complexity and level of interest
At this point these are high probability engagements
Plan
Create mutual plan for collaboration, work, and announcement (JIA/MOU etc)
1 week to create plan, review, adjust, agree
What are we building? Who are the joint customers? What will the announcement be? Where? When?
Implementation
Joint development
Building POCs/demos etc
This is typically 4-6 weeks
Deliver market impact
Jointly present demo/POC outcome at conference
Press release around outcome
Hand off to industry specific offering management team/platform team
Identify repeatable patterns – forward to appropriate team to continue to nurture the relationship and address via new/enhanced offerings to market
Identify revenue impact (if applicable)