Google Cloud Launches Gemini Enterprise to Transform Workflows
Gemini Enterprise is designed as a comprehensive AI hub that unifies a company’s data, tools, and teams within one secure environment.
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[Image source: Krishna Prasad/MITSMR Middle East]
Google Cloud recently introduced Gemini Enterprise, an AI-powered conversational platform that serves as the “new front door for AI in the workplace.”
The announcement comes at a milestone moment for Google Cloud, which has crossed a $50 billion annual revenue run rate in Q2, with 13 product lines generating over $1 billion each. Notably, 65% of its Cloud customers, including nine of the world’s top ten AI labs and nearly all AI unicorns, already use Google’s AI offerings.
Gemini Enterprise is designed as a comprehensive AI hub that unifies a company’s data, tools, and teams within one secure environment. Built on Google’s most advanced Gemini models, the platform allows employees to converse with company documents, data, and applications, while also offering tools to build and deploy AI agents, both custom and pre-built.
Real-World Impact
Several enterprises are already testing Gemini Enterprise in transformative ways. HCA Healthcare has introduced a Gemini-powered Nurse Handoff tool that automates patient information transfer during shift changes. Developed in collaboration with nurses, the solution could save millions of hours annually while ensuring accuracy through nurse reviews.
Best Buy has adapted Gemini to enhance customer service, reporting a 200% increase in self-service delivery rescheduling and a 30% improvement in query resolution on topics such as price matching and recycling.
Even within Google, AI is reshaping operations, with nearly half of all new code now generated by AI, reviewed and approved by engineers.
Gemini Enterprise represents Google’s full-stack approach to AI, seamlessly integrating infrastructure, research, models, and products into one unified ecosystem.
At its core, Google’s AI infrastructure is powered by Nvidia GPUs and its proprietary Tensor Processing Units (TPUs). The upcoming Ironwood TPUs are set to deliver a tenfold performance boost over previous generations, strengthening the backbone that supports products like Search and YouTube.
On the research front, Google Research and DeepMind continue to push the boundaries of AI and scientific discovery. Michel Devoret, chief scientist of Google’s quantum team, was recently awarded the Nobel Prize in Physics for his pioneering work that paved the way for Google’s quantum computing efforts. His achievement follows last year’s Nobel Prize in Chemistry for Demis Hassabis and John Jumper, who were recognized for their groundbreaking AlphaFold project.
At the model layer, the Gemini 2.5 Pro model has held the top spot on LMArena for more than six months, leading both text and vision leaderboards. Google’s model portfolio, including Veo, Imagen, and Nano Banana for image editing, has drawn over 13 million developers worldwide.
Finally, this innovation comes to life through Google’s products and platforms, with AI now powering everything from Workspace tools to AI Overviews in Search, used by more than 2 billion people globally. Together, these systems process 1.3 quadrillion tokens per month, up from 980 trillion just a few months ago, underscoring the massive scale and reach of Google’s AI ecosystem.
