Machine Learning: Turn Data into Insights to Solve Complex, Dynamic Problems

Machine learning is a profound technology platform shift that is helping shape our next Industrial Revolution. Progressive business leaders are often called upon to find ways to unlock new value from machine learning.

What do these innovators need to know, and how can they get started?

 

What is Machine Learning?

Machine learning is a type of artificial intelligence (AI) that provides computer programs with the ability to learn without being explicitly programmed. Machine learning enables the development of intelligent computer systems that can teach themselves to grow and change when exposed to new data.

Typical Use Cases

Implemented correctly, machine learning can help industrial manufacturers turn data into insights. Typical use cases include:

  • Predictive Analytics: The ability to accurately forecast future events through deep analysis of historical data
  • Planning and Optimization: Automating complex decisions and trade-offs about limited resources
  • Perception and Situational Awareness: The ability to understand and respond to visual, physical and auditory stimulus using image recognition, speech recognition, and natural language processing

Getting Started

Finding the right starting point can be a challenge. Kalypso offers a suite of machine learning quick-start strategy and implementation services to rapidly create value with machine learning. Kalypso works with organizations to deliver digital innovation in the smart, connected world using leading IoT platforms like ThingWorx and predictive analytics solutions like ThingWorx Analytics. In a short period of time, companies can leverage these technologies through strategic experiments that connect their historical data to a predictive analytics engine.

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Contacts

Jordan Reynolds

Jordan Reynolds

Chad Markle

Chad Markle