we’re making it easy for organizations to extend the power of their data and custom AI models by using Vertex AI with Workspace as a platform, enabling next-generation workflows that are built right into Docs, Gmail, and other Workspace apps
Google Cloud Next ’24 has just started but already a number of exciting product updates have been announced, including the indications of a possible deeper integration of Vertex AI into Google Workspace.
In one of our recent Pulse updates we highlighted Dialogflow CX and Google Chat API integration is now in Developer Preview. The reason I feel this is an important development is Dialogflow CX lies at the heart of Vertex AI Agent Builder (formerly Vertex AI Search and Conversation … formerly Gen App Builder).
Vertex AI Agent Builder lets developers easily build and deploy enterprise-ready gen AI experiences via a range of tools for different developer needs and levels of expertise — from a no-code console for building AI agents using natural language
This integration is significant because it addresses a key challenge I’ve experienced as a Vertex AI Agent Builder trusted tester. Previously, using Google Workspace data in your agents required moving it to a Cloud Storage bucket. The new integration potentially streamlines this process, allowing seamless access to your Workspace data.
This aligns with a broader trend I’m seeing at Google Cloud Next: the emphasis on custom Generative AI-powered agents. Gabe Weiss’s demo in this morning’s keynote showcased the potential of such agents to intelligently support users. Though details about the underlying technology were limited to Vertex AI Agent, the UI does hint at a gemini.google.com integration. You can see for yourself at the queued clip (this may change if Google trims the video).
As the way we work continues to change, the need for no-code and low-code tools that enable hybrid work and empower the workforce across all industries is on the rise. The democratization of software creation is also gaining ground within organizations, and by 2024 more than 65% of applications will be developed by low-code tools.
I was late to AppSheet, my journey only really starting in May 2022. Like all platforms, even no/low-code, there is a bit of a learning curve to get your head around how it works, but once you do there is a world of opportunities for a wide range of users. Even for seasoned developers features like the Apps Script integration and AppSheet API mean there is plenty of scope to extend the capabilities of AppSheet.
This post from Google provides some useful reference cases, evidencing the impact the platform has had on a range of customers as well has highlighting some recently developments in the AppSheet platform including the opportunity to deploy AppSheet powered Google Chat apps.
At CTS, where I work, we have a range of services to support AppSheet adoption ranging from hackathons, training and development. Feel free to get in touch if you would like to find out more.
