Today, generative AI is giving organizations new ways to process and analyze data, discover hidden insights, increase productivity and build new applications. However, data sovereignty, regulatory compliance, and low-latency requirements can be a challenge. The need to keep sensitive data in certain locations, adhere to strict regulations, and respond …
With the rapid advancement and adoption of AI, organizations face increasing pressure to ensure their AI systems are developed and used responsibly. This includes considerations around bias, fairness, transparency, privacy, and security. A comprehensive framework for managing the risks and opportunities associated with AI can help by offering a …
At Google, we understand that new technology applications such as artificial intelligence driven innovation can introduce new questions about data privacy. We are committed to helping our customers meet their data protection obligations while using AI offerings integrated in Google Cloud services (which includes Google Workspace services.) Some customers …
Conventional fraud detection methods have a hard time keeping up with increasingly sophisticated criminal tactics. Existing systems often rely on the limited data of individual institutions, and this hinders the detection of intricate schemes that span multiple banks and jurisdictions. To better combat fraud in cross-border payments, Swift, the …
In today's fast-paced digital world, businesses are constantly seeking innovative ways to leverage cutting-edge technologies to gain a competitive edge. AI has emerged as a transformative force, empowering organizations to automate complex processes, gain valuable insights from data, and deliver exceptional customer experiences. However, with the rapid adoption of …
Unpatched software vulnerabilities can have serious consequences. At Google Cloud, we want developers to reduce the risks they face by focusing on developing code that is secure by design and secure by default. While secure development can be time-consuming, generative AI can be used responsibly to help make that …
Generative AI agents introduce immense potential to transform enterprise workspaces. Enterprises from almost every industry are exploring the possibilities of generative AI, adopting AI agents for purposes ranging from internal productivity to customer-facing support. However, while these AI agents can efficiently interact with data already in your databases to …
At Google Cloud, we've long demonstrated our commitment to responsible AI development and transparency in our work to support safer and more accountable products, earn and keep our customers’ trust, and foster a culture of responsible innovation. We understand that AI comes with complexities and risks, and to ensure …
Google Cloud is on a mission to help everyone build the skills they need for in-demand cloud jobs. Today, we're excited to announce new learning opportunities that will help you gain these in-demand skills through new courses and certificates in AI, data analytics, and cybersecurity. Even better, we’re …
With more than a decade of experience building AI and machine learning models, Google Cloud understands both the benefits and challenges that await those looking to take advantage of these new technologies. Organizations around the world are now looking to AI solutions to solve some of their thornier problems …
We are excited to share with you that Gemini for Google Cloud is here. Generative AI’s capabilities have grown tremendously over the last year, and we have infused it throughout our product portfolio. Gemini for Google Cloud is a new generation of AI assistants for developers, Google Cloud …