Since the early 2010s, enterprise technology has undergone significant transformation, moving beyond the era of big data into the realm of artificial intelligence. This evolution was initially highlighted by the emergence of Hadoop, followed by further advancements, such as Spark and Databricks.

Today, the fusion of AI with vast datasets has propelled the enterprise into a groundbreaking period of innovation: the hyperautomation era.

“I think we’ve entered the era now where we can do software-based decisioning,” said Andrew Joiner (pictured), chief executive officer of Hyperscience (Hyper Labs Inc.). “We can actually drive benefit and drive automation off of that data. The OpenAI revolution that sort of happened [at the] beginning of this past year was the best demo that we never created at Hyperscience, we like to say, because it really introduced this notion that AI is real and it can be a benefit to the enterprise.”

Joiner spoke with theCUBE Research executive analyst John Furrier at the “Supercloud 6: AI Innovators” event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the pivotal role of AI in driving hyperautomation and the emergence of sovereign models tailored to enterprise needs.

Hyperautomation is redefining efficiency

At the heart of Hyperscience’s approach is the ability to process “human-friendly information,” unstructured data that defies conventional database storage, according to Joiner. Unlike conventional optical character recognition methods, the company employs computer vision and machine learning to interpret data in such a way that mixes human-like ingenuity and flexibility with AI’s accuracy. That, in a nutshell, is hyperautomation.

“We have all these humans back there, back-office workers who are still having to annotate, label and approve,” Joiner said. “Now, we have a paradigm that we can read that information with accuracy and go ahead and start making decisions. Traditionally, the best we’ve been able to automate backend systems is about 60%, [but] with hyperautomation, we’re getting 99.5% accuracy and 98% automation rates for the back office.”

Additionally, the company distinguishes itself by offering sovereign models – AI frameworks tailored to individual enterprises, ensuring data privacy, security and control. While frontier models by tech giants excel at the periphery, deploying AI at the core of enterprise operations demands a more nuanced approach, according to Joiner. Sovereign models empower organizations to harness the full potential of their proprietary data without compromising confidentiality or integrity.

“We have gotten to the point where we have core models that understand the basics of people,” he said. “We can read handwriting, for instance; we can read if a page has been rotated or skewed, and we can know if it’s got a smudge or something’s been scribbled out. We’ve trained models on big data sets, but now what you can do is train it from scratch on your business language, what’s unique to your business. Then about five to 20 documents [later], you can now teach it just kind of like a new employee.”

The impact of this technology is tangible, as evidenced by Hyperscience’s collaboration with the United States Department of Veteran Affairs. By automating document processing, Hyperscience has reduced turnaround times from months to hours, liberating thousands of personnel from menial tasks and redirecting resources toward higher-value endeavors.

“It used to take [them] months, as much as three months, for any submission to work its way through,” Joiner said. “It’s prescription information, it’s medical information, it’s from all different types of hospitals and doctors — very complex. They put Hyperscience at the core, [and now] we’re reading over a billion documents a year now for Veteran Affairs.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of the “Supercloud 6: AI Innovators” event: 

Photo: SiliconANGLE