The document discusses the evolution from M2M to the Internet of Things (IoT). It notes that the IoT landscape is driven by demand for automated turn-key solutions to reduce complexity, but that business models and value propositions are not well defined. It also discusses Verizon's role in connectivity and packaged solutions. It then provides more detail on Verizon's definition of IoT, the IoT data analytics market opportunity, and Verizon's Palomar and Sheriff analytics platforms and applications in healthcare fraud detection, automotive hacking monitoring, and voice network abuse detection.

1. August 5, 2017
Big Data Commercialization and Platform
Implications
Ram Mistry

2. M2M Evolution to Internet Of Things
Landscape is driven by demand for automation/turn-key solutions that reduce complexity
 Complex and costly integration process
 Business models not well-defined
 Value propositions and ROIs not well-understood
 Fragmented ecosystem and lack of standards
M A R K E T B A R R I E R S T O D AY
CROSS-APPLICATION
ENABLEMENT
Packaged Solutions M2M w/ Hosted Software Multi-solution IntegrationWireless Connectivity
DEVICE CONNECTIVITY VERTICAL SOLUTIONS INTERNET OF THINGS
2010 2014 2016
CONNECTIVITY PARTNER SOLUTIONS
APPLICATIONS ON VZ
INFRASTRUCTRE
Pre 2010
PACKAGED SOLUTIONS
Verizon Role

3. How Verizon defines IoT
SENSE TRANSPORT STORE ANALYZE CONTROL SHARE
Data is gathered, Data passes over Information from Through manual Based on these IoT data is
processed, filtered, networks, which may across the IoT analysis or insights, alerts are exchanged with other
and transmitted by a be Wi-Fi, cellular, network is gathered Automated sent to people, systems, monetizing
“terminal” or mesh radio, satellite, and stored, often in processing, insights enterprise systems, it and enriching it with
connected device. or fixed line. the cloud. are extracted and or IoT devices to third-party data.
presented. take action.
IoT Data Analytics Defined

4. IoT Data Analytics Model & Market Opportunity
Statistical models and
forecasts techniques to
understand the future.
Answers:
“What could happen?”
Optimization and simulation algorithms to advise on outcomes,
machine automation. Answers:
“What should we do?”
Data aggregation & data
mining to provide insight
into the past. Answers:
“What has happened?”
Market Opportunity
The IoT Global Data Analytics Market will reach $23B by 2020*
Data Analytics Market Size*
Industry 2016 2017 2018 2019 2020
Ag Tech $377M $524M $748M $1B $1.4B
Energy $146M $203M $290M $404M $547M
Smart Cities $911M $1.3B $1.8B $2.5B $3.4B
Healthcare $607M $845M $1.2B $1.7B $2.2B
Transportation $334M $464M $664M $926M $1.3B
Total $2.3B $3.3B $4.7B $6.5B $8.8B

5. Big Data and Analytics Value Creation Model
Monetization of Big Data and Analytics

6. Evaluation Criteria For Data Analytics
Opportunities
 Problem Sizing (markets, solutions, target customers, …)
 Solution Assessment (architecture, platforms, data flow, …)
 Opportunity (size, revenue estimates, timing, ….)
 Competitive Assessment (entry, sustainability, roadmap, …)
 Go To Market (channels, operationalization, support, …)
 Risk

7. Big Data Technology Stack

8. Platform Considerations For Big Data
Solutions
Billing
Support
Access /
Identity
Mgmt.
Flexibility
RegulatoryForecasting

9. Verizon: Palomar
9
Click Stream
SIGNALS AVAILABLE IN BETA SIGNALS IN FUTURE RELEASES
Location
Demographic
CRM & Device
DSP segment
performance
YOUR DATA

10. Verizon: Sheriff Applications
Healthcare Fraud
Example
IoT Monitoring: Auto
Hacking
Voice Network Abuse
Sheriff: highly scalable, real-time data reduction, &
pattern recognition engine
Processed over 5 million
healthcare claims a day.
Identified or prevented $654
million in fraud in 2015. US
Gov’t: “Very few investments
have a 10:1 return on
taxpayer money”
Monitors communications
to/from 6 Million + Autos
detecting unwanted &
malicious activity
Detects telephony Denial-Of-
Service (DoS). Detects
Robo-calling: US
Congressional Testimony:
Verizon helped block 2
million calls for IRS Agent
Impersonation scam

11. Verizon: M2M Network Connectivity Analytics
Anomaly Detection for Vending Machines

12. AgTech: Irrigation Management
12

13. Intelligent Hospital: Workforce Optimization
1313
Combination of staff, asset
and patient monitoring.
Business Solutions:
• Patient & Staff Monitoring
• Automated Asset Tracking &
Management
• Mapping & Visualization
• Temperature & Humidity Monitoring &
Alerting
• Infection Control Tracking

14. 14
Ram Mistry
Senior Manager, Data Analytics Product Management
Ramniklal.Mistry@VerizonWireless.com
M (214) 608-9304