Scaling simplified, accessible data analytical tools with machine learning and artificial intelligence capabilities

Scaling simplified, accessible data analytical tools with machine learning and artificial intelligence capabilities

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With digital transformations occurring across businesses everywhere, data is accumulating en masse. But this data is useless without the proper analytical tools, which have grown too complex and expensive for enterprises managing multicloud architectures. Sisense Inc. looks to address the cloud chaos with artificial intelligence-powered capabilities at an accessible price point, scalable through its availability in the Amazon Web Services Marketplace.

“We’re taking the bricks out of the briefcase. We’re assembling it into something that users can deploy for their use cases,” said Scott Castle (pictured), chief strategy officer at Sisense. “For us, AWS is perfect because they focus on the hard bits of the underlying technologies, we assemble those to make them usable for customers, and we get the distribution.”

Castle spoke with theCUBE industry analysts John Furrier and Savannah Peterson at AWS re:Invent, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed Sisense’s relationship with AWS, how analytical tools have changed over tech generations, and the company’s approach to making its platform accessible. (* Disclosure below.)

Future of analytics

Sisense, Castle explained, is giving its users the building blocks they need to craft their own products to suit their needs. With Sisense, users have access to AI-boosted capabilities, with machine learning already built-in, with what the company calls “infused analytics.”

“The idea is you break this up into very small digestible pieces. You put those pieces into user experiences where they’re relevant and when you need them,” Castle said.

One of Sisense’s defining selling points is its ease of use for software developers. Users can input data points into algorithms with minimal coding, as Sisense does the heavy lifting.

“With Sisense, because our bread and butter has always been embedding, it’s all architected to be API-first,” Castle explained of the company’s use of application programming interfacing. “It’s integrated for software developers with graphical user interfaces (GUI) but it also has all those low-code and no-code capabilities for business users to do the Minority Report-style thing, and it assembles endless components into a workable, digital workspace application.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of AWS re:Invent:

(* Disclosure: Sisense Inc. sponsored this segment of theCUBE. Neither Sisense nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE

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