Google Cloud Generative AI Ops Drives Enterprise AI Adoption

Generative AI (Gen AI) has emerged as a game-changing technology, promising to revolutionise how businesses operate and engage with customers. However, moving these cutting-edge AI workloads from proof-of-concept to production-ready solutions has been a significant challenge for many organisations. Recognising this obstacle, Google Cloud has unveiled a new service offering called Generative AI Ops, designed to help enterprises unlock the full business value of Gen AI – gaining access to Google’s expertise in deploying AI models and applications at scale.

According to Lee Moore, Vice President at Global Google Cloud Consulting, Google Cloud customers are increasingly moving their Gen AI workloads from proof-of-concept into production – with many of these organisations now seeing real-world business impact from their AI investments. 

“Many of these customers have worked with Google Cloud Consulting to apply AI in important and helpful ways,” Moore explains. “For example, Bristol Myers Squibb developed a new AI-powered interface to help its clinical study teams more easily find important information and generate documents, and Palo Alto Networks launched several new AI tools that utilise Gemini to streamline and enhance user experience in its copilots, improving the productivity of security practitioners.”

Google Cloud: Moving AI models from proof-of-concept to production

Generative AI Ops provides a comprehensive suite of services to guide organisations through the critical steps required to make their AI applications production-ready. As Moore explains: “Moving these workloads into production requires a deep understanding of Gen AI systems design, large language model architectures, prompt engineering, evaluation, and much more. Now, we’re bringing Google’s expertise in these areas to our customers at scale, with the launch of a new service offering: Generative AI Ops. This new offering, delivered by either Google Cloud Consulting or via our comprehensive partner ecosystem, will help organisations mature their Gen AI prototypes into production-grade solutions and provide support in important areas like security, model tuning and feedback, and optimisation.”