Predictive Analytics World for industry 4.0 2020

Predictive Analytics World for industry 4.0 2020

11 May - 12 May, 2020

+1 508 7483955

Holiday Inn Munich City Center, Germany

Organized By:

Rising Media Ltd

+49 (0) 8151 556 604 5

Tutzinger-Hof-Platz 6 82319 Starnberg Deutschland

About Predictive Analytics World for industry 4.0 2020

Predictive Analytics World is the leading vendor independent conference for applied machine learning for industry 4.0. Business users, decision makers and experts in predictive analytics will meet on 11-12 May, 2020 in Munich to discover and discuss the latest trends and technologies in machine & deep learning for the era of Internet of Things and artificial intelligence.

Industry 4.0 has evolved from buzzword to reality. 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. They also mastered a variety of challenges in order to put predictive models into production. Some even turned them into new products. 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. In two parallel tracks, one featuring case studies and another one for deep dives, you will learn from successful data science projects and well-known experts how to master these challenges. Use this opportunity to discuss your questions with the speakers in extensive Q&A and exchange your professional experiences with your industry peers during multiple networking event formats. See you in May 2020 in Munich!




Visitors Profile

Predictive Analytics World for Industry 4.0. provides unique learning and networking opportunities. Attendees come from industries such as:

  • Manufacturing & Production
  • Logistics & Supply Chain
  • Automotive & Mobility
  • Aviation & Astronautics
  • Mechanical & Tool Engineering
  • Telecommunication & Information Technology
  • Healthcare & Pharmacy
  • Outdoor & Indoor Farming
  • and related.

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