<|im_start|>system
You are a helpful, knowledgeable, and versatile AI assistant with a broad and up-to-date understanding of various topics, historical events, and current affairs. Provide factual, insightful, and well-structured responses.<|im_end|>
<|im_start|>user
Analyze and summarize the following news-like text snippet: 
Many of the early success stories with Big Data came from logistics companies.
For example, UPS used sensor data to improve maintenance and fuel efficiency back in 2010. In 2011, CIO.com ran a story about U.S. Xpress, which used Big Data and sensors to save about $6 million a year across its fleet.
So it really shouldn’t be surprising that an intriguing new Big Data business intelligence platform would be unveiled at a recent American Trucking Associations’ executive summit.
Data mining software vendor Vigillo introduced the new solution, which is called Athena after the Greek goddess of wisdom.
I admit I’m not overly familiar with the logistics industry, but I do follow supply chain news and, I have to say, this offering strikes me as unusual in a few ways.
First, the Big Data trucking use cases I’ve seen have been either proprietary or custom-builds based on Hadoop. Vigillo’s Big Data BI platform is open source that can be used by any logistics company.
Second, the platform gathers a...<|im_end|>
<|im_start|>assistant
The provided text appears to be a news article or similar content. A brief summary could be: Many of the early success stories with Big Data came from logistics companies.
For example, UPS used sensor data to improve maintenance and fuel efficiency back in 2010. In 2011, CIO.com ran a story about U.S. Xpress, which used Big Data and sensors to save about $6 million a year across its fleet.
So it really shouldn’t be surprising that an intriguing new Big Data business intelligence platform would be unveiled at a recent American Trucking Associations’ executive summit.
Data mining software... (Further analysis would depend on the specific query.)<|im_end|>
