Commercial trucking plays an important role in the economy. When hauling perishable goods and materials, it’s critical for buyers and suppliers to seek cost efficiencies and deliver in a timely manner. To help, Jeremy Singley collaborated with Bob Sliwa to create an ultra-aerodynamic tractor-trailer that could reduce draft and lower fuel consumption by up to 25 percent. This article discusses how these innovators used SOLIDWORKS design software to create a SuperTruck prototype.
How can you open your analytics program to all
types of programming languages and all levels of
users? And how can you ensure consistency across
your models and your resulting actions no matter
where they initiate in the company?
With today’s analytics technologies, the conversation
about open analytics and commerical analytics is no
longer an either/or discussion. You can now combine
the benefits of SAS and open source analytics
technology systems within your organization.
As we think about the entire analytics life cycle, it’s
important to consider data preparation, deployment,
performance, scalability and governance, in addition
to algorithms. Within that cycle, there’s a role for
open source and commercial analytics.
For example, machine learning algorithms can
be developed in SAS or Python, then deployed in
real-time data streams within SAS Event Stream
Processing, while also integrating with open systems
through Java and C APIs, RESTful web services,
Apache Kafka, HDFS and more.
Published By: Infacta
Published Date: Jan 22, 2007
The lines of permission marketing are not as grey as many would suggest. It’s pretty clear cut. You either have someone’s permission to send them commerical email or you don’t. Listen to this podcast to learn more.
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