29 Nov

Machine Learning in Manufacturing, Stockholm

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The rise of Internet of Things (IoT) is leading to unprecedented amounts of data in the manufacturing industry. This masses of data present a new opportunity to improve production processes, quality and management. However, the tools to obtain the insights needed from this data and to react to changes with the minimum latency are often complex. This free, one-day training gives you insight into machine learning, its meaningful applications to your business (morning session) and an opportunity to gain practical experience from our experts (afternoon session).

  • Aim of the day Understand Machine Learning, find out how ML can streamline production via waste reduction, predictive maintenance, supply chain management, and hyper-personalised manufacturing and gain an understanding of Google Cloud tools at your disposal.
  • Audience This training is designed for professionals in the manufacturing industry who want to understand the impact machine learning can have on their business and want to get more comfortable with the technology behind it. This is a great training to attend for a ‘big picture’ of how machine learning can be applied in the manufacturing data landscape.
  • Prerequisites If possible, bring your laptop with you. Being comfortable with Python is helpful for the workshops, but not essential. If you feel that the workshops are less relevant to you, you are welcome to stay for the morning sessions only. Questions? Drop us an email with any questions at events@datatonic.com.
9.00 - 10.00
Introduction to Machine Learning
Overview of ML theory and context
10.00 - 11.00
ML in Manufacturing
Overview of different ML use cases
11.00 - 11.30
Case Study
Detailed industry case study
11.30 - 12.30
Workshop: Metadata Enrichment
Generate information from unstructured data
13.30 - 14.15
Tools of the Trade
Exploration of libraries, frameworks, infrastructure and practical resources for ML
14.15 - 14.45
ML on Google Cloud Platform
Introduce GCP products for ML and other infrastructure required
14.45 - 16.15
Workshop: GCP
Train and deploy a complete Tensorflow pipeline
16.15 - 17.00
Recap and Q&A
Oliver Gindele
Head of Machine Learning
Thomas Gaddy
Data Scientist
Google Sweden, Kungsbron 2, 111 22 Stockholm
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