UPDATED 14:10 EDT / MAY 21 2024

Discussing the trusted AI imperative for enterprises and unpacking Wipro's comprehensive bluepring using its WeGA framework. AI

The scope, urgency and challenges of responsible, trusted AI adoption

If artificial intelligence use were a two-sided coin, one side would hold its promise and breakthrough features. On the other side is its ethical, trust and privacy concerns.

From bias to hallucinations and privacy violations, what care must companies take to ensure responsible, trusted AI adoption?

Discussing the trusted AI imperative for enterprises and unpacking Wipro's comprehensive bluepring using its WeGA framework.

Discussing trusted AI with Wipro’s Narayan Kamat.

“We use a lot of AI to bring relevance into how can we get data trustworthy to our businesses,” said Narayan Kamat (pictured), global head of strategic initiatives and partnerships — data and analytics — at Wipro Ltd. “There are two components to it. The first component is what we call the Digital Data Trust, wherein we are trying to create matrices around the quality of the data that is coming in. And the tenets of that would be data control, data governance, security and quality.”

Kamat spoke with theCUBE Research’s Rebecca Knight and Rob Strechay at Informatica World, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed Wipro’s blueprint for businesses seeking to leverage AI effectively, focusing on data quality, robust governance, continuous monitoring and ethical practices. (* Disclosure below.)

Building trusted AI with WeGA

Trusted AI is about more than data quality; it involves creating AI models that are unbiased, traceable, auditable and secure. The Wipro Enterprise Generative AI framework, or WeGA, is designed to embed these principles into AI development, according to Kamat.

“We use gen AI, trusted gen AI, fed by what Informatica and Wipro do today to propel trusted data for our enterprise and our business,” he said. “That’s how we build confidence across the business, because your buyer at the end of the day is a business. They need to trust your data and your AI models. This scenario is called trusted AI, driven by a data digital repository of trusted data, driven by Informatica components of governance, lineage, data security … all of those.”

By leveraging partnerships with companies such as Informatica Inc., Wipro integrates comprehensive governance and security layers into its AI solutions, ensuring that AI models are as robust and reliable as the data they are built upon, Kamat added.

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of Informatica World

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

Photo: SiliconANGLE

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