A key goal for many enterprises in the AI era is to empower their employees to uncover actionable data insights on their own. To help, we are evolving Looker Explore with a streamlined interface and integrated AI, so every usey can confidently turn data into a clear path to action. A team of AI assistants […]
Introducing new Explores and Merge Queries in Looker Read More »
Next-generation artificial intelligence (AI) and high-performance computing (HPC) chips routinely exceed 1000 W Thermal Design Power (TDP). Simply put, standard air cooling cannot manage these extreme heat loads. The alternative — retrofitting entire data center facilities with chilled water loops — requires extensive amounts of capital and time. To solve this problem, Google developed Brazos,
Introducing Brazos: Bringing liquid cooling to air-cooled data centers Read More »
For technology companies like Siemens, software is the nervous system of factories, energy grids, and transportation networks worldwide. As a global leader in industrial AI, industrial software, and industrial automation, Siemens brings decades of domain expertise across factory and process automation, energy infrastructure, and intelligent transportation — expertise that no off-the-shelf AI solution can replicate.
Recorded live at the AI Agent Conference, Ryan sits down with Apollo GraphQL CEO Matt DeBerglis to discuss how enterprises can leverage GraphQL and MCP as a structured semantic architecture to feed clean data to autonomous agents, safeguard internal microservices against unprecedented “east-west” data exfiltration risks, and rein in skyrocketing token spend by explicitly querying
At Google Cloud, we believe that the best products are built in partnership with our customers. Their feedback and real-world experiences are invaluable in helping refine our services and deliver solutions that truly meet our customers’ needs. In January 2026, our Google Cloud Developer Advocacy team participated in a high-velocity technical sprint with a major
How customer collaboration is shaping the future of GenAI security with Model Armor Read More »
The rise of AI agents is fundamentally disrupting applications and analytical systems. Generic AI platforms don’t usually have access to the context stored within enterprise databases. This is because traditional data architectures often lack context for agents across the data estate, which can lead to agents being inaccurate. They’re also prone to security gaps due
What’s new in data agents: Supercharging your AI workflows Read More »
The rise of AI agents is fundamentally disrupting applications and analytical systems. Generic AI platforms don’t usually have access to the context stored within enterprise databases. This is because traditional data architectures often lack context for agents across the data estate, which can lead to agents being inaccurate. They’re also prone to security gaps due
What’s new in data agents: Supercharging your AI workflows Read More »
Welcome to the first Cloud CISO Perspectives for June 2026. Today, we introduce Chris Betz as the new CISO of Google Cloud. For his first Cloud CISO Perspectives, Chris shares four key lessons we learned about using AI to the defender’s advantage while building AI Threat Defense. As with all Cloud CISO Perspectives, the contents
Cloud CISO Perspectives: The 4 lessons that guided AI Threat Defense Read More »
As enterprises adopt agentic AI, they need to shift from reactive systems of intelligence to proactive systems of action to equip the agents they’re building with the context and performance they need, plus regulator-grade accountability, where every decision is explainable and auditable. At Google Cloud Next ‘26, we discuss how our Agentic Data Cloud enables
Architecting a trusted agentic platform with graph technologies: A Yahoo case study Read More »
