Predictive Analytics World Industry 4.0 2020 – Online Edition

Organization:  Rising Media

Online

Discount: 15%

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.

paw-munich-inpage-2020

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,
  • Technologies.

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.

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