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Minds Machines 2018

minds-machines-2018

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10/30/2018 06:00 PM
10/31/2018 10:30 PM
America/Los_Angeles
Minds + Machines 2018
In today’s asset-centric world, GE is building an integrated ecosystem that’s driving toward a common goal—higher productivity and better outcomes for customers. At the seventh annual Minds + Machines, you’ll get to experience this robust ecosystem of machines, people, and software through insightful keynotes, informative sessions, hands-on demos, and technical trainings. Together, we will continue to disrupt the value chain behind industrial equipment
Pier 27, San Francisco, CA

Note 1:
Early bird registration is now open
Note 2:
Digital transformation for modern Industry
This year’s event will feature the framework for reimagining the asset value chain and unlocking business model innovation. You’ll learn how to drive new revenue streams throughout the entire asset lifecycle—from build to service to operate. Our agenda will cover everything you need to know about digitizing production, driving operational intelligence, and mastering service delivery.

Minds + Machines 2018

Date: Oct 30-31, 2018

Venue: Pier 27, San Francisco, CA

Age: All Ages

 

Description

Experience Minds + Machines
In today’s asset-centric world, GE is building an integrated ecosystem that’s driving toward a common goal—higher productivity and better outcomes for customers. At the seventh annual Minds + Machines, you’ll get to experience this robust ecosystem of machines, people, and software through insightful keynotes, informative sessions, hands-on demos, and technical trainings. Together, we will continue to disrupt the value chain behind industrial equipment.

This year’s event will feature a variety of presentations, discussions, hands-on demos, and training around IIoT and the solutions powering it.

Experts joining us:

• Chief Information Officers (CIO)
• Chief Technology Officers (CTO)
• Chief Digital Officers (CDO)
• Other Executive and Key Decision Makers
• Software Engineers
• Operations Managers
• Technical Leads
• Controls Engineers (HMI/SCADA)OEMs (Heavy Industry)ISVs
• Systems Integrators
• Systems Architects
• Machine Learning Specialists
• Data Scientists

 

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