Google Gemini stories
Enterprises may soon design data systems for AI agents rather than staff, as Google Cloud adds real-time context, automation and cross-cloud access.
The rollout aims to help businesses run autonomous AI agents more securely, while easing data, networking and sovereignty constraints.
The new tools could let firms’ AI agents act on live data more securely across clouds, while cutting rebooking from hours to minutes.
Compliance-heavy finance teams could cut manual pricing disputes as KPMG and Google Cloud roll out Gemini Enterprise tools at Cardinal Health.
Enterprises are under pressure to prove AI returns as Google pushes reusable, sector-specific playbooks into production across 19 industries.
Retailers are using Google’s new AI suite to speed up shopping and support, with Bunnings already live and UCP adoption starting to grow.
Businesses facing faster AI-driven cyberattacks will get new Google Cloud tools to spot threats, block fraud and secure agents across workloads.
Businesses can now let Gemini agents run for hours or days, while new controls aim to keep AI workflows traceable and secure.
Customers will build and manage AI agents in one place as Google Cloud folds Vertex AI services into Gemini Enterprise Agent Platform.
Businesses gain a single control plane for AI agents as Google Cloud folds developer tools, employee apps and partner software into Gemini Enterprise.
The rollout aims to cut time lost switching between apps by letting Gemini draw on emails, files and chats in one workwide context.
The launch aims to let firms and software agents use Salesforce data and workflows inside coding tools and collaboration apps, cutting build times by up to 40%.
Demand for AI agents is driving Google Cloud to broaden its stack with new security tools and eighth-generation Tensor Processing Units.
Enterprise users can now query Oracle databases in natural language through Gemini, without moving data or writing SQL, as the partners expand their cloud tie-up.
Marketing teams can now link Adobe tools with outside AI services under a governed system aimed at auditable customer experience workflows.
Production AI is straining as 5% of model requests fail and almost 60% of those errors stem from capacity limits.
Organisations can now block unsanctioned AI tools and limit agent movement across networks as security teams face rising shadow AI and compliance pressure.
The recognition reflects tighter integration with Google Cloud as customers seek cleaner recovery, stronger backup security and AI-ready protected data.
Capacity limits are now behind nearly 60 per cent of AI production failures, risking outages and higher costs as usage scales.
Brands could gain a single governed layer for AI customer work, as Adobe links agents with partner tools across the full lifecycle.
