UPDATED 16:10 EDT / NOVEMBER 16 2021

AI

CognitiveScale enables explainable AI at enterprise scale for informed decision-making

Artificial intelligence has become embedded into everyone’s everyday processes. From social media feeds to automation in the workplace, data is continually being analyzed, decisions made and actions taken without human intervention.

When that process takes place in a “black box,” answers are presented without any way to gain understanding into how they were obtained and if they are based on flawed data and biased assumptions. This makes implementing AI a double-edged sword for highly regulated businesses such as healthcare and finance.

“The problem is very difficult for them,” said Robert Picciano (pictured, left), chief executive officer of Cognitive Scale Inc. “You’re working in a space where you have rules and regulations about when and how you need to engage with that client. So the bar for trust is very, very high.”

Picciano and Shay Sabhikhi (right), founder and chief operating officer of CognitiveScale, spoke with Dave Vellante, host of theCUBE, SiliconANGLE Media’s livestreaming studio, for a digital CUBE Conversation on how to make AI explainable and operationalize it at enterprise scale.

Operationalized AI for regulated industries

CognitiveScale is filling a gap by operationalizing AI at scale for regulated industries, including healthcare and financial services, with evidence and transparency, according to Sabhikhi.

“There are a lot of people thinking about data science and machine learning in isolation, building models, trying to come up with better ways to deliver some kind of a prediction,” he said. “But if you truly want to operationalize it, you need to think about scale that enterprises need.”

The company’s Cortex platform is built on the Cortex Fabric, which provides low-code tools for citizen developers to operationalize AI within their businesses, and Cortex Certifai, which provides process transparency for explainable AI.

One of the platform’s breakthroughs is a process known as “synthetic data and simulations.” This allows transformation officers to predict the outcomes of a model by driving simulations across “millions or billions of interactions,” Picciano explained. By answering if an AI model is going to be effective and meet its goal without the need to create hundreds of trial versions, synthetic data and simulations save time and money and speeds the transformation process.

“We’re able to drive from imagination of what could be the outcome to getting high confidence that this initiative is going to have a meaningful value for the enterprise. And then that stimulates the right kind of following and the right kind of endorsement throughout, really driving that change to the enterprise,” Picciano said.

‘Profile-of-One’ creates secure profile for key business entities

Another major ingredient to the Cortex Platform’s “secret sauce” is what is known as a Profile-of-One. This is an extremely intimate profile around declared data sources that relate to a key business entity, according to Picciano.

“In most cases, it’s a person: It’s a member, it’s a patient, it’s a client,” he said. “But it can be a product for some of our clients. It’s real estate. It’s a listing. It can be someone who’s enjoying a theme park. It can be someone who’s a shopper in a grocery store. It can be a region.”

This solves an ongoing issue an organization has in accessing data that has been stored within departmental silos. Even when a company has master data management and data warehouse capabilities, “they find that when they then go to apply AI across some of those curated data environments, it’s still not sufficient,” Picciano said.

By applying the Profile-of-One ability, customers can gain personalized and contextual insights based on individualized profiles.

In a healthcare setting, operationalized, trustworthy AI can evaluate a patient so that the clinician can make a decision – say on whether to discharge or not — understanding not just the clinical information, but the socioeconomic information, and then making sure that that decision has the appropriate evidence behind it, Sabhikhi explained.

Across all regulated industries, the Cortex Platform allows an enterprise to make “decisions based on the machine telling you, with a lot of detail behind it, whether this is the right decision to be made,” he said.

Here’s the complete video interview, one of many CUBE Conversations from SiliconANGLE and theCUBE:

Photo: SiliconANGLE

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