Machine Learning and Analytics Made Easy

Today, staying competitive means progressing with machine learning and analytics. Fortunately, the journey to success doesn’t require teams have data scientists or deep analytics expertise.

Learning Objective

In this webinar, you will learn how to align your domain expertise to five capabilities:

Analysis – automatic root cause identification accelerates continuous improvement

Monitoring – early warnings reduce downtime and waste

Prediction – proactive actions improve quality, stability, and reliability

Simulation – what-if simulations accelerate accurate decisions at a lower cost

Optimization – optimal process setpoints improve throughput at acceptable quality by up to 10%

Register for this webinar to learn the proven processes and software technologies that make analytics accessible for every industrial organization.

SPEAKER:

Cobus Van Heerden
Senior Product Manager, Analytics and Machine Learning
GE Digital
Cobus van Heerden is senior product manager for analytics and machine learning software for GE Digital. Cobus has 20 years of experience in developing and implementing industrial software globally. He specializes in helping industrial organizations realize transformational productivity gains through applying digital technology, advanced analytics and machine learning.

BROUGHT TO YOU BY:

GE Digital connects streams of machine data to powerful analytics and people, providing industrial companies with valuable insights to manage assets and operations more efficiently. World-class talent and software capabilities help drive digital industrial transformation for big gains in productivity, availability and longevity.

The post Machine Learning and Analytics Made Easy appeared first on Internet of Business.

Source:: Internet of Business