Sam Dean

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3 Emerging Open Source Data Analytics Tools Beyond Apache Spark

On the data analytics front, profound change is in the air, and open source tools are leading many of the changes. Sure, you are probably familiar with some of the open source stars in this space, such as Hadoop and Apache Spark, but there is now a strong need for new tools that can holistically round out the data analytics ecosystem. Notably, many of these tools are customized to process streaming data...Streaming data analytics are needed for improved drug discovery...While Apache Spark grabs many of the headlines in the data analytics space, given billions of development dollars thrown at it by IBM and other companies, several unsung open source projects are also on the rise. Here are three emerging data analytics tools worth exploring:

Open Source is Helping to Drive the Artificial Intelligence Renaissance

Sam Dean | Ostatic Blog | January 4, 2017

We're only a few days into 2017, and it's already clear that one of the biggest tech categories of this year will be artificial intelligence. The good news is that open source AI tools are proliferating and making it easy for organizations to leverage them. AI is also driving acquisitions. As Computerworld is reporting, in the past year, at least 20 artificial intelligence companies have been acquired, according to CB Insights, a market analysis firm. MIT Technology Review is out with its five big predictions for AI this year. Here is a bit on what they expect, and some of the open source AI tools that you should know about...

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Open Source Projects Are Transforming Machine Learning and AI

Machine learning and artificial intelligence have quickly gained traction with the public through applications such as Apple’s Siri and Microsoft’s Cortana. The true promise of these disciplines, though, extends far beyond simple speech recognition performed on our smartphones.  New, open source tools are arriving that can run on affordable hardware and allow individuals and small organizations to perform prodigious data crunching and predictive tasks.

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