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EdgeML: Machine Learning on Low-Power Devices

How EdgeML with BigML solves Many IoT Use Cases

June 30, 2021 | Duration: 4:00 – 5:00 PM CEST / 10:00 - 11:00 AM EDT

In this webinar, A1 Digital and its partner BigML will explore the EdgeML (Embedded Machine Learning) indisputable attractiveness for current digitalization transformation processes and its importance during current uncertain times. Our experts will be sharing real-world examples of EdgeML applications that are changing business models, bringing innovative companies to the next level. We will dive into how Machine Learning in IoT is used in predictive maintenance to prevent costly machine downtime and provide higher availability of the machines, as well as the application of Machine Learning used in rail transportation to detect impacts or damages in real time.

A1 Digital and BigML partnership is enabling customers to realize one of the key technologies for IoT applications, that is, end-to-end networked and intelligent products. The BigML Machine Learning platform makes it possible to structure and optimize Machine Learning processes like any other business process, providing Exoscale European Cloud with highly available and high-performance servers while ensuring the highest level of data security.

What to expect in this webinar:

  •  Introduction to Edge Machine Learning with the BigML Platform

  •  Edge Machine Learning and its Impact Across Industries

  •  Challenges for Machine Learning in IoT

  •  Real-World Edge Machine Learning

  •  Next Steps to Make the Implementation Successful

Registration

Register now free of charge for our online event

About our speakers:

Atakan Cetinsoy, VP of Predictive Applications bei BigML

Atakan has 20+ years of hi-tech product management and product marketing experience with both global brands and VC-funded startups including Apple, Yahoo!, FedEx, Strands, and Deem. At BigML, he works closely with customers and prospects in identifying predictive use cases, proposing Machine Learning solutions as well as deploying and measuring them. Atakan holds a B.S. degree in Electrical and Electronics Engineering from Bogazici University in Istanbul and an MBA from The University of Georgia’s Terry College of Business.
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Dieter Mayr

Dieter Mayr is a Senior Data Scientist and Machine Learning Consultant responsible for the development and technical implementation of complex Machine Learning projects. His focus is the data-based conceptual design and support of machine learning projects in close coordination with IT departments and business stakeholders. During his PhD in Optimization and his several years of employment in the energy sector, he was able to build up profound solution expertise and implementation experience for complex and innovative Machine Learning and Data Analytics topics.
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Dominik Windhab

Dominik Windhab studied computer engineering and industrial engineering. He started his career as an embedded software engineer and has been a solution architect at A1 Group since 2014. His focus is on the design of IoT solutions consisting of hardware, firmware, connectivity and cloud platforms. His focus is on the new GSM transmission technologies NB-IoT / LTE-M and the implementation of machine learning on microcontrollers.
LinkedIn