Marketing Automation Learning Lab - DataRobot

by Markus Riemer

The power of data is a secret no more. Companies have long been focused on maximizing the amount of internal data at their disposal. However, a growing problem many companies have is what to do once they have acquired the information. There is an abundance of platforms and software within clicks away that will leverage your data into actionable recommendations. Choosing a specific platform that will help you reach your organizational goals and objectives epitomizes the Paradox of Choice: more options readily available will only paralyze our decision-making processes.

This article will illustrate the power of DataRobot, an AI-driven software that uses machine learning to create hundreds of predictive models in a fraction of the time it would take traditional data science practices. Imagine your business has a renowned data scientist on retainer, then multiply the one scientist tenfold, then input the summation of their collective genius into a computer application that harnesses artificial intelligence to effectively and accurately create models and explore the many insights that compliment each model. This is the power of DataRobot.

However, the applications of Datarobot are not intended towards a single vertical or niche markets. Healthcare, manufacturing, and professional sports are just a few of the industries that have benefitted from the software’s models and analysis. Any company in position to benefit from predictive analytics could foreseeably enhance their understanding of their audience through this product. From optimized Google Adwords bidding to efficient fraud protection, DataRobot’s ability to provide insight is unique and invaluable.

The user interface is extremely advanced yet simple to navigate; spacing makes each dataset and model independent and uncluttered. Terms of creating models, the people at DataRobot have broken the process down to five easily digestible steps. It begins by simply inputting your data and selecting the desired target variables. Once what you hope to predict is chosen, models will begin to be built. From there, you can explore the best models and sift through accurate analysis, helping you make data-driven decisions based of predictive analytics

The DataRobot you will use today will be different than the one you will use in a year or two from know. Its ecosystem is constantly expanding with new models, different ways to analyze information, and updated algorithms. The engineers behind the software have mastered the balance of speed and accuracy by offering powerful models within a few minutes, and although the worlds of artificial intelligence and machine learning are always changing, the framework of DataRobot certainly seems like it is ready to adapt and grow with the times.