In a comprehensive blog post, Google Cloud has highlighted the diverse and practical applications of generative AI across industries, showcasing how top companies, governments, researchers, and startups are utilising Google's AI technologies to transform their operations. The list, which has grown from 101 use cases in April to 185 in September, underscores the rapid adoption and integration of AI in enterprise settings.
The use cases are categorised into six key areas: customer service, employee empowerment, code creation, data analysis, cybersecurity, and creative ideation and production. This categorisation reflects the broad spectrum of AI applications in modern business environments.
Thomas Kurian, CEO of Google Cloud, emphasised the significance of this development, stating, "The rapid adoption of generative AI by organisations worldwide demonstrates its transformative potential across industries. These 185 use cases are just the beginning of what's possible when cutting-edge AI meets real-world business challenges."
Among the notable implementations, Alaska Airlines is developing a natural language search powered by AI, offering travellers a conversational experience similar to interacting with a knowledgeable travel agent. This innovation aims to streamline travel booking and enhance customer experience.
In the realm of employee empowerment, Mark Cuban's Cost Plus Drugs reports that employees are saving an average of five hours per week using Gemini for Google Workspace, particularly in automating time-consuming processes like transcribing and formatting pharmaceutical lab results.
Wayfair's pilot of Code Assist has shown promising results in code creation, with developers setting up their environments 55% faster and experiencing a 48% increase in code performance during unit testing.
In the field of data analysis, Mayo Clinic has provided thousands of its scientific researchers access to 50 petabytes of clinical data through Vertex AI search, significantly accelerating information retrieval across multiple languages.
Addressing cybersecurity concerns, Palo Alto Networks is using Gemini to create a grounded AI assistant for 24/7 security platform support, improving agent efficiency and response time.
In creative production, Puma is using Imagen to customise product photos on its website, resulting in a 10% increase in click-through rates in the Indian market.
The blog post also highlights the evolution of AI applications, noting a shift from question-answering and prediction to the development of AI agents capable of taking actions to achieve specific goals. This progression is evident in applications ranging from guiding shoppers to assisting employees with health benefits inquiries.
Google Cloud's AI infrastructure, including Gemini models, Vertex AI platform, Google Workspace, and Google Distributed Cloud, forms the technological backbone for these innovations. The company states that many customers are already seeing tangible returns on investment from their AI implementations.
The rapid increase in real-world applications over just a few months indicates a growing trend of AI adoption across industries, promising further innovations and efficiencies in the near future.