While headlines about artificial intelligence project failures dominate the news, enterprises are seeing tangible success by honing AI in specific areas such as knowledge access. In that domain, search solutions such as Glean Technologies Inc. have become essential for democratizing enterprise AI across the workforce, embedding intelligent tools into daily workflows.
From an operations automation standpoint, where is the enterprise AI market headed? And how are companies such as Glean shaping the next generation of intelligent business systems?
“You build a product like Glean, give it to all of your employees and now you’re bringing AI in the day-to-day work of every individual,” said Arvind Jain (pictured), founder and chief executive officer of Glean. “That’s actually the first thing that enterprises are doing because what they’re thinking about is that, look, AI is happening and I need to actually bring AI tools to all of my employees and get that education going.”
Jain spoke with theCUBE’s John Furrier at theCUBE + NYSE Wired: AI Factories – Data Centers of the Future event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the need for enterprises to design systems that empower users to be their most productive selves.
The state of enterprise AI
The past year has seen explosive interest in AI agents — autonomous systems designed to perform business tasks. Yet unrealistic expectations have fueled disappointment. Agent deployment requires more than imagination; it demands guardrails, monitoring and secure integration with enterprise systems, Jain cautioned.
“The last year has been all about AI agents and expectations have been sky-high,” he said. “When you see these reports, that’s what’s coming out. People thought that I could actually bring an agent, I can take any business process that’s in my company and just automate that in one day.”
Glean’s approach: Make it simple for non-technical employees to build useful agents while providing the infrastructure for quality, compliance and security. With its extensive integrations and actions library spanning thousands of enterprise tasks, Glean is enabling organizations to create production-grade agents that don’t just “talk,” but actually do work, according to Jain.
“When you build an agent with Glean, we first make it really easy; we are democratizing access to agent building,” he said. “You could be a business owner, not a technologist, not an AI scientist, but you can still actually build something really cool with AI through our agent builders. It’s becoming very natural. We’re also bringing the rest of the infrastructure to help you evaluate, to test, to monitor, to put the right guardrails and make sure agents don’t go wild in the enterprise.”
One of Glean’s most important innovations is the enterprise graph — a connective layer serving as the “neural network” of the enterprise, Jain added. Agents don’t operate in isolation; they require data, context and human-like understanding of how work gets done.
“We do a good job of that because Glean comes with hundreds of these enterprise integrations to the most common enterprise systems,” he said. “If you build an agent and you need some data that you need to access, it’s very easy and seamless in Glean to do that because Glean’s already connected to all of the enterprise systems. The second thing is that we actually now allow you to take actions.”
Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of theCUBE + NYSE Wired: AI Factories – Data Centers of the Future event:
Photo: SiliconANGLE