Keepler | IoT Analytics & AI on Edge Computing
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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.
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
- 11. 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.