Machine Learning Is Powerful, But Only As Effective As The Underlying Data Quality

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Machine Learning Is Powerful, But Only As
Effective As The Underlying Data Quality

• Everyone seems to be talking about Artificial
  Intelligence (AI) and Machine Learning (ML). Our
  clients often ask What exactly do these terms
  mean? and How can I take advantage of these
  capabilities to improve my business? Artificial
  Intelligence is the overarching term used to
  describe machines executing tasks that typically
  require human intervention.
• Although the terms are often used
  interchangeably, Machine Learning is actually a
  type of artificial intelligence that enables
  computers to get into a mode of active
  self-learning beyond what is initially
  programmed. When exposed to new data, these
  computer programs learn, grow, change, and
  develop themselves to become more effective and
  efficient at achieving desired outcomes.

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For example, if you want your website to suggest
products to customers based on their buying or
browsing patterns on your website, you could use
machine learning to recommend products in
real-time while they are on your site. Of
course, the recommendations would be based on
past site visits and conversion data. Sounds
simple, right? Well, before any of the magic of
machine learning happens, you need to ensure
that the underlying data fueling your program is
complete, reliable, consistent, and predictive.
If not, it will fail to produce the desired
results. Most companies are sitting on vast
amounts of underutilized data and content assets
that are scattered and in incompatible
formats. As a result, taking advantage of
artificial intelligence and machine learning may
seem too hard or even impossible. At EnFuse
Solutions, we can quickly access your current
data and content and then design a data-quality
- artificial intelligence - machine learning
roadmap specifically tailored to your desired
business outcomes. To learn more, contact us at
enfuse_at_enfuse-solutions.com Read more here Data
Labeling - The Foundation Of Machine Learning
Initiatives