Machine Learning Algorithms

Every Business is on a Path to Continuous Improvement—Machine Learning Puts this Process in Overdrive.

In an age where data science and machine learning are considered to be buzzwords, be the company that sets the industry standard for powerful predictive analytics.

One of the most powerful tools for a business is predictive analytics.  You, as a business, need to be ahead of your competition when it comes to business strategy and operations.  To do this, you need reliable predictors for buyer and competitor behaviors.  This allows you to position yourself to be proactive, rather than reactive.

Machine learning applications help bridge that gap between what you know and what you want to know.  They help a business assess risk, analyze individual customer data to offer individualized services, react to real-time news, etc. Fundamentally, this sort of Machine learning applications looks like a target function that maps input variables to an output variable.

Y = f(X)

Use them to predict what will happen (Y) for every new (X).  For example: an e-commerce company can collect a customer’s search and purchase information and use that to recommend items that the customer will be more likely to purchase.

Why is Machine Learning Taking Over?

A machine learning algorithm allows a computer to continually learn by itself.  It is efficient, cost-effective modeling.  We feed the algorithm a set of data, teach it how to analyze that data, and teach it how to learn from there.  It can be incredibly powerful, when considering a computer’s optimal 24 working hours.  Companies that employ data analytics mapping tools like this see a notable increase in productivity.  Algorithms like this can also shrink the opportunity for human error.  It is sophisticated error identification that enables a business to scale up capacity when needed.  That’s what Numtra can provide.

With that said, the computer isn’t totally learning by itself.  People are still writing code and setting up a pipeline to train the model.  Only through data ingestion will you be able to feed that algorithm.  You want a company that has the experience to deliver on that.  If the rest of the world is automating part of their systems with machine learning, shouldn’t you?

Contact Numtra for an assessment and conversation on business data science. Find out what more your data can do to drive your business.

Contact Numtra for an assessment and conversation on business data science.

Find out what more your data can do to drive your business.