Machine learning powers Splunk’s rise | #BigDataNYC
While the Big Data world is always changing, the people involved know what they like, and Splunk, Inc. is near the top of that list. Customers have warmed to Splunk’s Big Data approach, and now the company’s technology is powering an impressive share of the analytics market.
To get an idea about what Splunk has learned and where it’s heading, John Furrier and Dave Vellante, cohosts of theCUBE, from the SiliconANGLE Media team, invited Theresa Vu, director of product marketing, Big Data at Splunk, to speak with them at BigDataNYC 2015.
Opening the conversation, Vu said that customers love Splunk because the company brings solutions that make life easier for their users. The goal of Splunk is to make machine data accessible, usable, and valuable.
Machine learning and the Cloud
One of the technologies powering Splunk’s rise is machine learning. This allows the company’s tools to uncover insights in data quickly and efficiently. Machine learning is also proving itself useful in markets outside the data analytics space. Splunk has also seen many customers moving into the cloud, Vu said, and so Splunk has followed them with hybrid cloud offerings and solutions.
Splunk has an advantage in such operations because it has been around for quite a while and has the hard-earned experience to manage scaled, secure projects, Vu added.
Whispers in the hallway
At events like BigDataNYC 2015, people talk a lot, and they don’t hold back their opinions. Vu mentioned how she was excited to see so many new and different solutions entering the market. Also, she was happy about how discussion had matured from talking about the technology to exploring real solutions.
As for the talk in the hallways of the conference, she confirmed that it was all about what solutions are being built, real-world use cases and driving business with Big Data.
Watch the full video interview below, and be sure to check out more of SiliconANGLE and theCUBE’s coverage of BigDataNYC 2015.
Photo by SiliconANGLE
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