DATAPROPHET AT THE EUROPEAN MANUFACTURING STRATEGIES SUMMIT, BERLIN

DataProphet CEO and founder Frans Cronje will speak at Europe’s two-day manufacturing summit. Frans will discuss accelerating value-driven digital transformation for manufacturers using data readiness + prescriptive analytics. The summit will be taking place in Berlin, and DataProphet will have a booth at the summit. Please meet with Frans and our technical sales team members for those attending in person. It will be a pleasure for us to answer all and any questions you might have on how to accelerate your digital transformation journey.

WHAT TO EXPECT AT THE EUROPEAN MANUFACTURING STRATEGIES SUMMIT, 2022

Worlding leading manufacturers and 4IR specialists will come together to share their case studies, insights, and strategies around the best way forward—in this new world of rapid technological advancement, coupled with global industrial and environmental challenges.

 The key themes for this year’s summit are: 

• Maintaining an effective and functional workforce.
• Key parameters in switching to Net Zero.
• The digital barometer – transferring digi-tech capabilities.

CONFERENCE PROGRAMME: DAY 1 MONDAY, 7TH NOVEMBER

DATAPROPHET EVENT ONE (13:35 -14:05) –  SOLUTION SPOTLIGHTS

TITLE: “DATA-READINESS + PRESCRIPTIVE ANALYTICS—ACCELERATING VALUE-DRIVEN DIGITAL TRANSFORMATION OF MANUFACTURING”

PRESENTER: FRANS CRONJE, DATAPROPHET CEO AND CO-FOUNDER

CTA: Join DataProphet’s CEO for leading-edge insights into the digital transformation of manufacturing.

DESCRIPTION: Modern manufacturing generates enormous amounts of industrial edge data. Data mass and complexity will only increase—with next-generation manufacturing products and associated innovations in industrial technology. A critical objective for digital transformation is leveraging data manufacturers already own for additional commercial value. On the digital maturity journey, AI-as-a-Service (AIaaS) allows data science experts to collaborate with manufacturers to establish the robust data infrastructure needed to achieve AI readiness.