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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2026 outlook for global Artificial Intelligence regulation

Governments are tightening rules on high risk Artificial Intelligence while courts and public figures test traditional legal tools against deepfakes and data misuse. New Zealand businesses face growing extraterritorial obligations and governance pressures as global Artificial Intelligence norms solidify.

Researchers build low power artificial intelligence that learns like the human brain

A research team has developed a brain inspired artificial intelligence system that learns continuously, reacts only to meaningful changes, and runs on specialized low power chips, bringing advanced machine learning to edge devices. The approach challenges energy hungry data center models and points toward a more ecological, widely accessible future for artificial intelligence.

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