Recent advances in artificial intelligence and cloud computing will revolutionize enterprise content management.
The future of enterprise technology depends on the effective fusion of AI and cloud technologies. This integration has enormous potential to increase efficiency and enable more sophisticated data analysis in the corporate world.
“At Box we deal with unstructured content. “Every time you see these model announcements, like Gemini 1.5, we get excited,” said Ben Kus (pictured), chief technology officer of Box Inc. “Especially the token.” Window size – millions of tokens – and the multimodal Aspects of this are super exciting for us.”
Kus spoke with theCUBE Research analysts John Furrier, Rebecca Knight and Savannah Peterson at Google Cloud Next 2024 during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the transformative impact of Google’s latest advances on Box, as well as the importance of new AI models and their potential to revolutionize the way companies manage unstructured content. (*Disclosure below.)
Content Management: Using AI for unstructured content
The conversation with Kus highlighted the growing role of AI in tackling the vast amounts of unstructured content that modern businesses navigate. With the emergence of models capable of understanding content like humans, the possibilities for data management and analysis have expanded dramatically.
“Now you can actually start to have AI understand things the way humans would, and then that really changes what humans can do with their content overall,” Kus said. “We have a hundred thousand corporate customers. We store hundreds of billions of these files. And now AI is a big part of it.”
This advancement in AI technology allows companies to perform more complex analysis, such as comparing contracts or identifying differences in tone in marketing materials, improving decision-making and operational efficiency. According to Kus, these advances are not only theoretical, but also have practical implications for companies.
“With the new larger token window sizes, it can go through and detect things – this clause seems riskier than this, or this marketing material… has a different tone than this,” he explained.
Such capabilities represent a significant advance over previous limitations where AI models could only process content in fragmented views. With the ability to understand and analyze content in its entirety, AI can now provide more nuanced and comprehensive insights.
Navigate the future with AI and cloud integration
The broader impact of AI advances on the cloud ecosystem and business strategies was also a key topic of discussion at Google Cloud Next. Kus says choosing platforms that companies can trust to deliver AI capabilities now and in the future is critical.
“One of the things that many customers are doing and should be doing now is choosing their platforms. “Who will they trust to give them AI capabilities not just now but in the future?” Kus said, emphasizing the strategic considerations that companies must take into account when adopting AI technologies.
The integration of AI into the structure of cloud services and its role in improving data security were also important topics of discussion. Managing permissions and security around AI is essential to prevent unauthorized access to sensitive information, Kus emphasized.
“This idea of security and permissions around AI is really crucial. And that stopped a lot of customers from even accepting it,” he said. “Certainly it was a challenge when they tried to build things themselves. That’s why at Box we offer this type of functionality and can then help customers understand how to use it in a secure way.”
Here’s the full video interview, part of SiliconANGLE and theCUBE Research’s coverage of Google Cloud Next 2024:
(*Disclosure: TheCUBE is a paid media partner for Google Cloud Next 2024. Neither Google, the primary sponsor for theCUBE’s event coverage, nor any other sponsors has editorial control over theCUBE or SiliconANGLE content.)