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
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
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
