Predictive Analytics World Industry 4.0 2020 – Online Edition, organized by Rising Media, will take place on 16-17 November.
Organization: Rising Media
Sponsored by DAN
When: 16/11/2020 – 17/11/2020
Predictive Analytics World Industry 4.0 2020 is the leading vendor-independent conference for applied machine learning. Previous years’ PAW conferences showed that major enterprises such as Roche or HP, mid-sized companies as Schaeffler or Bossard and also Start-Ups such as Konux or Bowery implemented Machine & Deep Learning solutions successfully.
The next phase of the Industry 4.0 analytics journey is about scaling development and operations of data products and about broadening the application of predictive & prescriptive analytics across all company departments and industries.
At this year’s conference they start a new format: a specialized track on applied predictive analytics in the finance and insurance industry. This one-day track will introduce you to the most critical use cases of machine & deep learning for banks, insurers, investors and funds by presenting you real-world projects from major players.
You will learn about how to solve data privacy & regulation issues, manage and utilize your data assets with data governance & data strategy and build and operate great data products with data science & analytics.
Why Should You Attend?
- Improves overall equipment efficiency (OEE),
- Increases production and process effectiveness,
- Reduces maintenance downtimes & unplanned outages,
- Minimizes inventory, transportation & energy costs,
- Creates new revenue sources through data-driven business models,
Ralf Klinkenberg, Founder & Head of Data Science Research, RapidMiner, said that;
PAW Industry 4.0 provides a great focus on industrial applications of data science, machine learning, and predictive analytics. I particularly like that the use cases are presented by industry subject matter experts.
DAN readers will get a 15% discount on conference passes. Enter the discount code “PAWDLWDAN” at checkout.
Interested? For registration and event details, click here.