Machine learning in action today

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What's that productivity related quote by Charles Dickens?

"My advice is never do tomorrow what you can do today."

For years, machine learning has been written about and discussed widely with a focus on the benefits it will bring in the near future. But guess what? The future for machine learning is now.

The ability run a model tournament across a wide variety of analytical models, to provide hundreds or even thousands of the best predictive models for each segment of your choice and then take action is available to you today. The fusion of machine learning with data mining has made this possible today.

Plus, this new approach to machine learning is NOT a black box approach, it is a white box approach that gives your analysts the power to understand what underlying factors are the most important. As a result, it provides a deeper understanding of the relationships that underpin business processes. Exploring your data and models in this way leads to a better understanding of your business issues, your organization, and most importantly your customers (both internally and externally).

SAS Factory Miner projects

SAS Factory Miner generates champion models for every segment in your data.

SAS Factory Miner is the new technology that provides all these benefits.  This solution uses a easy web-based, front-end that can run in the environment that best fits the processing for your business questions. The best part is that it's big data ready, so you don't have to let processing/scaling issues limit the questions you choose to tackle. It's easy to scale out when your data grows (and it always does).  

Don't believe me? See what SmartDataCollective had to say about running automated machine learning with a push of a button in their article: "First Look: SAS Factory Miner." Further press coverage on SAS Factory Miner is available from Computerworld, CIO, InfoWorld, Datanami.

If you're interested in seeing more analytics in action, register for one of our upcoming global road shows, powered by SAS + Hadoop.

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About Author

David Pope

Technical Leader, Senior Manager US Energy

David leads the pre-sales technical team for SAS US Energy which solves business problems in the Oil & Gas and Utilities industries using advanced analytics. He is a lifetime learner who enjoys sharing information and helping others to grow their careers. He earned a BS in Industry Engineering and a Computer Programming Certificate from North Carolina State University. Furthermore, he has over 29 years of business experience working with SAS across R&D, IT, Sales and Marketing in the Americas and Europe. He is an expert in working with data and producing insights through the use of analytics. David has presented at SAS Global Forum, the 2012 SAS Government Leadership Summit, IBM’s Information on Demand(IOD), EMC World, CTO Summit Conferences, is the author of the book: "Big Data Analytics with SAS", and he currently holds 14 patents for SAS in several countries: US, CA, Norway, UK, China, Mexico, and Hong Kong.

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