Highlights from Google Cloud Next ´25: Transformative Announcements and Innovations

Recapping Google Cloud Next ´25 with over 200 exciting announcements revolutionizing the cloud landscape.

Google Cloud Next ´25 showcased a staggering array of over 200 announcements across numerous domains, setting a transformative precedent in cloud technology. Among the key highlights was the unveiling of new products and innovations tailored to accelerate digital transformation. These announcements spanned across infrastructures, platforms, and various applications aimed at improving efficiency and enhancing user experience.

In the Artificial Intelligence domain, Google introduced new features under its Vertex AI platform, focusing on the development and management of multi-agent systems. Further, Google Cloud´s Agentspace was highlighted as a tool meant to scale up enterprise search and facilitate significant adoption of agent-driven enterprises. These advancements underscore Google´s commitment to AI-driven solutions that enhance operational capabilities across industries.

Additionally, the company announced pivotal enhancements in their compute and networking offerings, characterized by the introduction of Ironwood TPUs and a novel AI Hypercomputer, designed to meet the surging demands of computational power. Major strides were also made in data analytics and databases with innovations that capitalize on autonomous and AI-driven technologies. Google also emphasized secure operations with its unified security innovations and sustainable practices with updated geospatial datasets in BigQuery.

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Crescent library brings privacy to digital identity systems

Crescent is a cryptographic library that adds unlinkability to common digital identity formats, preventing tracking across credential uses while preserving selective disclosure. It supports JSON Web Tokens and mobile driver’s licenses without requiring issuers to change their systems.

Artificial Intelligence-powered remote drug testing removes barriers to recovery

Q2i and King’s College London are collaborating to evaluate an Artificial Intelligence-powered at-home drug testing system aimed at people recovering from opioid use disorder. The solution delivers digitally observed, clinically reliable results and pairs testing with contingency management and telehealth to reduce logistical barriers to care.

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