Sumo Logic has positioned itself at the forefront of the Internet of Things with a cloud-based machine data analytics solution that empowers organizations to tame the rapid growth in information without a hefty upfront capital investment. Bruno Kurtic, the firm’s founding vice president of product and strategy, dropped by theCUBE at re:Invent 2013 to go over the underlying value proposition.

What sets Sumo Logic apart from Splunk, a competing provider of machine data analysis software, are the advanced machine learning techniques baked into its offering. According to Kurtic, the technology filters data to let customers easily identify patterns and focus on driving business value. The company is not looking to cut the human out of the loop, Vellante observes, but rather accelerate the time-to-insight for users.

Algorithms are a dime a dozen, Kurtic elaborates, it’s the application that matters. Sumo Logic harnesses the elasticity of AWS to deliver seamless scalability, enabling companies to scale their deployments up and down as needed. This functionality can come in particularly handy  for retailers that have to accommodate significantly increased loads during the holiday shopping season.

Elaborating on his firm’s solution, Kurtic says that it’s designed to enable users as opposed to simply addressing problems.

“We obviously start with those core use cases that every customer of ours wants to satisfy, we start with availability and performance, making sure that they reduce downtime [and] they reduce the amount of time that it takes to repair issues, moving to detect security issues and all that,” he says. “But it doesn’t stop there. Part of the whole SaaS offering aspect of our product is that not only we free up IT time to chasing the right issues, but we also reduce the requirement for them to manage the underlying infrastructure.”

Watch the full interview below for more on how Sumo Logic differentiates from Splunk.