The document outlines the integration of IoT analytics and edge computing, emphasizing their role in creating business opportunities through the analysis of sensor data. Keepler, an IT services company, showcases various use cases such as digital train maintenance and security helmet detection, highlighting the importance of data ingestion, event analytics, and machine learning. It also discusses the challenges and features associated with IoT analytics platforms and their deployment in cloud and edge environments.

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

11. THANKS
& KEEP IN TOUCH!
www.keepler.io | hello@keepler.io | juan.maria.aramburu@keepler.io
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