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IoT Analytics &
AI on Edge Computing
IOT MADRID SUMMIT 2019
CONTENTS
Introduction
to IoT
Analytics
and Edge
Computing
Liquid IoT
Platforms on
the Public
Cloud
IoT Analytics
& Edge
computing
use cases
Keepler’s view
The Keepler’s way
1
2
3
4
DATA
ANALYTICS
PRODUCTS
USERS
MORE
BETTER
BETTER
MORE
Keepler is an IT services boutique
focused on extracting business
value from the data through new
technologies and fast paced ways
of working.
Keepler help companies to get into
the“virtuous circle of data”.
DATA ANALYTICS
CLOUD COMPUTING
MACHINE LEARNING
AGILE & DEVOPS
To put it simple, IoT Analytics is the enabler of business
opportunities through the analysis of sensor data
Data Ingestion Event History
Edge
Computing
Event
Analytics
Public Cloud
An edge computing device anatomy
Video feed
ML Model
Function
Cloud
An IoT Analytics liquid platform
A platform with building blocks
Designed to grow in volume and
variety of data
Event history is the first use case Enable building applications
Aligned with a Public
Cloud strategy
1
2 With Big Data
Features
3
Able to enrich
event information
Velocity
Volume
Veracity
Variety
5 With Data Science
Tools
6
Able to deploy ML
models on the cloud
and on the edge
Connectivity
Latency
Time stamp
Order
Size
Historic
Tools
Protocols
liquid features
Enablers
Challenges
4
With Data
Exploration Tools
Model deployment and execution on the edge
Event Data
Lake
IoT events feed
Data Science
Environment
IoT Liquid Platform
Video feed
ML Model
Function
Control
System
1
2
3
4
3 examples of use cases supported
by IoT Analytics and Edge Computing
Digital Train
Maintenance
Oil Manufacturing
Data Lake
Work-site security
helmet detection
Serverless
Managed Services
IoT services
Machine Learning
SaaS Factory
Utility leader company
3 examples of use cases supported
by IoT Analytics and Edge Computing
Digital Train
Maintenance
Oil Manufacturing
Data Lake
Work-site security
helmet detection
Serverless
Managed Services
IoT services
Machine Learning
SaaS Factory
Utility leader company
3 examples of use cases supported
by IoT Analytics and Edge Computing
Digital Train
Maintenance
Oil Manufacturing
Data Lake
Work-site security
helmet detection
Serverless
Managed Services
IoT services
Machine Learning
SaaS Factory
Large Energy Provider
THANKS
& KEEP IN TOUCH!
www.keepler.io | hello@keepler.io | juan.maria.aramburu@keepler.io
The information contained in this document is property of KEEPLER DATA TECH and intended only for the person or entity to which it is sent. It may contain confidential and / or privileged material, the use of this
information or any disclosure, copying or distribution is prohibited and may be unlawful. If you received this in error, please contact the sender and delete all copies.

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Keepler | IoT Analytics & AI on Edge Computing

  • 1. IoT Analytics & AI on Edge Computing IOT MADRID SUMMIT 2019
  • 2. CONTENTS Introduction to IoT Analytics and Edge Computing Liquid IoT Platforms on the Public Cloud IoT Analytics & Edge computing use cases Keepler’s view
  • 3. The Keepler’s way 1 2 3 4 DATA ANALYTICS PRODUCTS USERS MORE BETTER BETTER MORE Keepler is an IT services boutique focused on extracting business value from the data through new technologies and fast paced ways of working. Keepler help companies to get into the“virtuous circle of data”. DATA ANALYTICS CLOUD COMPUTING MACHINE LEARNING AGILE & DEVOPS
  • 4. To put it simple, IoT Analytics is the enabler of business opportunities through the analysis of sensor data Data Ingestion Event History Edge Computing Event Analytics Public Cloud
  • 5. An edge computing device anatomy Video feed ML Model Function Cloud
  • 6. An IoT Analytics liquid platform A platform with building blocks Designed to grow in volume and variety of data Event history is the first use case Enable building applications Aligned with a Public Cloud strategy 1 2 With Big Data Features 3 Able to enrich event information Velocity Volume Veracity Variety 5 With Data Science Tools 6 Able to deploy ML models on the cloud and on the edge Connectivity Latency Time stamp Order Size Historic Tools Protocols liquid features Enablers Challenges 4 With Data Exploration Tools
  • 7. Model deployment and execution on the edge Event Data Lake IoT events feed Data Science Environment IoT Liquid Platform Video feed ML Model Function Control System 1 2 3 4
  • 8. 3 examples of use cases supported by IoT Analytics and Edge Computing Digital Train Maintenance Oil Manufacturing Data Lake Work-site security helmet detection Serverless Managed Services IoT services Machine Learning SaaS Factory Utility leader company
  • 9. 3 examples of use cases supported by IoT Analytics and Edge Computing Digital Train Maintenance Oil Manufacturing Data Lake Work-site security helmet detection Serverless Managed Services IoT services Machine Learning SaaS Factory Utility leader company
  • 10. 3 examples of use cases supported by IoT Analytics and Edge Computing Digital Train Maintenance Oil Manufacturing Data Lake Work-site security helmet detection Serverless Managed Services IoT services Machine Learning SaaS Factory Large Energy Provider
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