Skip to content

Machine Learning: What Is It Really Good For?

Share on twitter
Share on facebook
Share on linkedin

Ingo Mierswa, the Founder of RapidMiner, spoke with Forbes about the challenges that arise when implementing machine learning into an organization.

Regardless of what path you take, there needs to be a clear-cut business case for machine learning. It should not be used just because it is trendy. There also needs to be sufficient change management within the organization. Ingo Mierswa explains:

“One of the greatest challenges in implementing machine learning and other data science initiatives is navigating institutional change—getting a buy-in, dealing with new processes, the changing job duties, and more.”

In this article, you’ll learn about:

  • Key steps and considerations when it comes to machine learning
  • Why machine learning is so important
  • Common challenges that arise when implementing an ML strategy, and how to best combat them
  • And much more