Ant Symposium 2018

1. From Sensors to Insights: How IoT is
Transforming Fundamental Industries
Kyle Seaman, Sentenai

2. Digital Transformation

3. Analog Digital Data Information Transformation
Digital Transformation

5. Impact on Digitization
• Adding new context across the enterprise
• Completing the loop from real-time data
to taking action
Internet of Things
Digitization

6. Gateway
4 Climate Sensors
6 Hydro Sensors
40 Equipment
Modbus
Controller
Live Data Stream
Pub/Sub
• Postgres
• MongoDB
• Timeseries
HTTPS
MQTT
KINESIS &
LAMBDA
MQTT
HTTPS
• User Management
• Access Control Layer
Facility
Node Server
MQTT Server
Client
Applications
3rd Party
Integrations
• Cloud Functions
• Active Monitoring
• Notifications
HTTPS

7. IoT infrastructure is generalized up
to the point that data is interpreted
Digitization

8. Enterprise Data
Digitization
Continuously generated data that
provides a pulse of your company

9. Maintenance Logs
CRMs
Historians
ERPs
Excel Files
Enterprise Data
Digitization

10. Uniqueness of Time Series Data
Digitization
• Write once
• Non-Transactional
• Rarely Deleted
• Non-Relational

11. Uniqueness of Time Series Data
Digitization
• Uneven Intervals
• Different Event Sizes and Formats
• Unique Access Patterns

12. Advanced
Reporting
Anomaly
Classification
Exploratory
Analysis
Condition Based
Maintenance
Continuous
Optimization
Core Applications
Digitization
Trends
Adjusting to Aging Workforce Realities - Codifying Domain Knowledge
Enabling Global Scale of Best Practices - Getting full context in near
real-time and sharing broadly

13. Analytic Value Escalator
Digitization

14. creating a
network
data
mining
instrumenting existing
environments
Use Cases
Digitization

16. LGM
Freight Farms

17. LGM
Freight Farms

19. Lights
168 LED
Red & Blue
Strips
Hydro
Nutrient
Dosers
Air
Circulation &
Cooling
Hydro
Drip Irrigation
Entertainment
Wireless
Speakers
Automated Environment

20. Climate Sensors
• CO2
• Humidity
• Air Temp
2X Hydro Sensors
• pH
• Electro Conductivity
• Water Temp
Continuous Sensing

25. Gateway
4 Climate Sensors
6 Hydro Sensors
40 Equipment
Modbus
Controller
Live Data Stream
Pub/Sub
• Postgres
• MongoDB
• Timeseries
HTTPS
MQTT
KINESIS &
LAMBDA
MQTT
HTTPS
• User Management
• Access Control Layer
Facility
Node Server
MQTT Server
Client
Applications
3rd Party
Integrations
• Cloud Functions
• Active Monitoring
• Notifications
HTTPS

26. Network of Farms
Use Case

27. Network of Farms
Use Case
Recipe & Climate Optimization
Usage Analytics
Product Development & Validation

28. Increasing Sensor Coverage
Use Case
Main Tank
LED Strips
Seedling Tank
Mature Growth
Seedling Growth

29. Increasing Sensor Coverage
Use Case
Climate
Sensor
Hydro
Sensor

30. Increasing Sensor Coverage
Use Case
ANT Wireless
Connectivity
Solar powered
lithium batter
• Edge Data Collection via Gateway
• Sensor decided when to send data
• Small battery with solar power harvester
• Support for 4 sensor inputs

31. Increasing Sensor Coverage
Use Case
ANT Wireless
Connectivity
Solar powered
lithium batter
Higher Resolution
of Climate Data

32. Increasing Sensor Coverage
Use Case
Sensor fusion to
map air flow

35. High Value Crops
Digitization

36. Connected Operations
Cannabis Digitization
Gateway to read &
write all PLCs via
modbus
Automatic monitoring
and remote access

37. ANT Wireless
Connectivity
Solar powered
lithium batter
Expanded Sensing
Cannabis Digitization

38. Oil & Gas
Digitization

39. • Not a lot of actual failures
• Time drift across systems
• Proprietary production data
• Few equipment variants
• Decades of Operational Data
Characteristics
Oil & Gas Digitization

40. Data Mining
Digitization
Build Equipment Profiles from Historic Data
Modeling SME Behavior
Actuarial Data Modeling

41. Traditional Ag
Digitization

42. Characteristics
Traditional Farming
• Low Bandwidth and Cellular Requirements
• Cost Sensitive
• Highly Variable Across Locations
• Slow Reaction to Inputs & Adjustments

43. Opportunities
Traditional Farming
• Mesh Networking Devices
• Tractor Data Harvester
• Data Share Co-ops
• Using Predictions To
Smooth Operations

44. Finding ROI
Digitization

45. Business Model &
Operations
Finding ROI
• Bottom line via reduced
service costs & Opex
• Top line with higher value
add contracts

46. Finding ROI
• Physical product analytics to
indicate usage and failures
• Mass personalization for
experience and support
Customer
Experience

47. Finding ROI
• Analytics to drive and
validate product decisions
• Continuous improvements
and differentiation
Product
Innovation

48. Finding Data Multipliers
Future Proofing with Data
Collection Today
Finding ROI
Digitization

49. Not all data is created equal

50. Not all data is created equal
ROI = (Failure - (Data Acquisition + Storage + Processing)) * Instances

51. Laying the ground work for ML/AI
driven applications
Increased sensing capabilities
with flexible deployments
Moving to recurring/subscription
business models
Where things are going
Digitization

52. Thank you