by Dan Woods
The supply chain of data in the modern world has evolved beyond careful curation in controlled data warehouses. A fundamental change to the analytic workflow is needed in order to make advanced analytics available to a mass audience.
Attaining the golden age of analytics requires the democratization of advanced analytics. We need systems that separate the ability to create data science analysis from the ability to consume it, allowing anyone to intuitively interact with the results. In this golden age, users shouldn’t need to know the difference between a decision tree and logistic regression, or debate the benefits of R^2 over MAE, in order to create personalized action plans for thousands or millions of products. The growing need for predictive models to uncover these hidden, data-driven business solutions will continue to outstrip the limited numbers of data scientists who can create them.
Nutonian’s machine intelligence leads the way to the golden age of analytics. Companies who adopt machine intelligence can automate the discovery of analytic models, bringing predictive modeling out of the shadows and into the light. Creating complex, non-linear models is no longer a virtuoso activity with machine intelligence, but something the average business user can accomplish on his own to quickly generate viable business actions. As a data science productivity tool, machine intelligence also empowers already proficient data scientists to automate menial data tasks and extend their existing abilities.
How is this possible? Instead of simple, incremental improvements over existing, decades-old data science processes, machine intelligence combines the virtually unlimited computational power available today with a proprietary evolutionary search process to take a fresh approach to analytics. Hand in hand with machine intelligence, anyone can: 1) sift big data down to the right data, 2) generate completely new models to describe previously unknown systems, 3) optimize the complexity and application of a solution for the exact situation at hand, and 4) incorporate human expertise and creativity into the machine through interactive iteration – all within one user-friendly system.
Machine intelligence is key to unlocking the golden age of analytics, as it transforms predictive modeling into a company-wide application for developing optimal strategies and driving sustainable competitive advantages.
ABOUT THE AUTHOR
Dan Woods is CTO and founder of CITO Research. He has written more than 20 books about the strategic intersection of business and technology. Dan writes about data science, cloud computing, mobility, and IT management in articles, books, and blogs, as well as in his popular column on Forbes.com.