Thomas Kurian: 5 Big Remarks On Google’s Generative AI Future

The Best AI For Data Control And Security

Kurian said Google Cloud has the best offerings to protect proprietary customer information so it doesn’t get exposed beyond the organization.

“When you use our enterprise search product to access and retrieve information from your corporate repositories—they could be a database or a private corpus of research that a financial institution has put together—and you want to synthesize and make that easily retrievable for the employees within that company, those corpuses of data and all of the search information associated with them, including data and metadata, are maintained in private repositories that you can encrypt as a customer and manage with your keys,” Kurian said. “As Google, we do not have access to it.”

Google is providing the technology to make all the data discoverable, while not being co-mingled with the broader Google Search corpus in any way, he said.

The same goes for Google’s Vertex AI platform that lets users train and deploy machine learning models and AI applications.

“Our capabilities in Vertex AI, when you build applications and are building prompts and fine-tuning, you have the ability to maintain your data, the reinforcement learning feedback, any metadata, and any both input and output completely private—not accessible at all by Google,” said Kurian. “So that isolation is what’s giving customers confidence that they can use this technology while maintaining control over their data.”