Person
1 episodes · 25 quoted claims
Google launched Gemini Enterprise, a single stack combining AI and agent creation, deployment and management.
“just yesterday, we launched something called Gemini Enterprise, which brings together all the different pieces of AI and agent creation and, uh, deployment and management into one singular, uh, stack and package.”
Gemini Enterprise consists of six core components, beginning with a chat interface.
“And it consists of six core components. So, first, the chat interface or the AI interface.”
The models behind Gemini Enterprise can include Gemini 2.5 Pro, Gemini Flash and multimodal models such as Veo.
“So this could be Gemini 2.5 pro, it can be Gemini flash, it could even be multimodal models such as Veo and Imagine.”
Gemini Enterprise includes out-of-the-box data science, deep research and coding agents.
“So we have data science agents, we have, um, deep research agents, um, we even have coding agents that are available to, um, get value from the platform out-of-the-box”
Gemini Enterprise offers connectors to third-party sources including ServiceNow, Oracle, Salesforce, Jira, Confluence and Google BigQuery.
“like your ServiceNow implementations, um, workflows, um, Oracle, s uh, Salesforce, uh, as well as even, uh, Jira, Confluence, and and databases like Google BigQuery.”
Roughly 60,000 users at Highmark Health interact with agents to get answers about internal processes, according to Will Grannis.
“today, I think roughly 60,000 users at Highmark Health are interacting with agents to get the knowledge that they need”
Will Grannis says regulated industries have long documented processes, giving them a head start with agents.
“in, uh, regulated industries such as financial services, healthcare, public sector, those organizations for many years have been highly documented, uh, in terms of their business process and workflow”
A UK telecom company is working with Google on a multimodal support experience for diagnosing Wi-Fi outages.
“there's a telco in, um, the UK that's doing this right now, uh, that we're working with.”
In the UK telecom app, customers point their phone camera at home equipment so agents can guide troubleshooting.
“They will have the individual, um, point their camera at the equipment that they have in the house.”
In a home-design visualization project, early AI outputs sometimes placed couches on their sides, requiring explicit physics instructions for the evaluating agent.
“A funny little quirk is one thing that we found when we were first starting to do this is that, you know, manipulating objects in three-dimensional space. Sometimes we'd have like a couch sitting on its side”
The home-design agent pipeline added a second evaluation that checks whether a suggested item is in the retailer's inventory.
“is this item actually, you know, an item that's in our inventory, you know, a very specific item. And so that was a second evaluation and critique.”
Harvey AI, a legal AI company, uses role-based AI that works like a paralegal, according to Will Grannis.
“at Harvey AI, it's a legal, um, AI company right now, they have AIs, there's kind of they they have like a role-based AI.”
Google released Gemini CLI, built by a small team, and it saw rapid uptake.
“So Gemini CLI, you know, it was this thing that we just released. It was a small team that worked on it, and, you know, it exploded immediately.”
Google BigQuery includes native AI integrations and inference within the data system.
“today in BigQuery in Google Cloud, we have native AI integrations and native AI inference in the data system itself.”
Will Grannis founded Google Public Sector and still serves on its board.
“as, uh, you know, the founder of Google Public Sector and, uh, a board member still, uh, which I'm very proud of,”
According to Grannis, AI helped states such as Wisconsin cut unemployment claim processing from weeks to hours or days.
“AI has enabled interactions and the processing of claims, for example, to go from, you know, weeks to, uh, hours or days”
Will Grannis says AI models can generate ad hoc 'ephemeral' user interfaces, making fixed application interfaces less important.
“we call them like ephemeral apps or ephemeral UI, and that means that the AI becomes the UI and that the application UI is less important.”
A bank working with Google sped up its research function using agents, cutting turnaround from days to hours or minutes.
“we're working with a bank right now that has seen the ab- that has sped up, uh, their research function.”
Google CEO Sundar Pichai said when asked about his AI use that he was vibe coding, according to Will Grannis.
“our CEO Sundar was asked, you know, hey, you know, what are you doing with AI? And he's like, I'm vibe coding”
Nano Banana is Google's latest image generation model, which accepts images and prompts as input.
“So, NanoBanana is our image generation model, uh, latest image generation model.”
Veo is Google's video creation model.
“Veo is a video creation model that we have under the hood, a multimodal model.”
Google offers a Gemini Live API enabling live camera-based interaction with AI.
“We have a Gemini Live API, and I mentioned that that use case earlier of being able to take your phone, flip it around, show it something”
Google released the Agent Payment Protocol (AP2), joining MCP and the agent-to-agent protocol A2A in the agent standards stack.
“we just released the agent payment protocol, AP2, as part of this kind of standardization stack. So MCP A2A, which is the agent to agent protocol, and now the agent payment protocol.”
Will Grannis cites spreadsheet formulas as an early form of task automation preceding agents.
“We have been running formulas for many years to try to automate the calculation of certain numbers and to automate a task of calculation.”
Computer-use capabilities let AI interact with a screen directly, reducing the need to build APIs in front of data, per Will Grannis.
“We even now have computer use, which can bypass some of the, you know, need to construct APIs in front of data.”