ROI of AI 2026
Enterprise AI rapidly went from pilot to production to value. Now organizations are measuring AI’s value against its costs. The question is where does AI deliver the greatest financial returns?
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2025 trends in cloud communications: The CIO guide
Stay ahead of the curve with 2025 trends in cloud communications: the CIO guide. Explore emerging technologies like artificial intelligence (AI), unified communications as a service (UCaaS), and 5G that are transforming business communications. Learn actionable steps to future-proof your organization. What you’ll learn: • How AI and UCaaS improve team collaboration and customer engagement […]
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Leveraging AI KPIs
New technology brings new opportunities. It also brings hype,”fear of missing out,” and disappointment. AI is proving to be no exception to this rule. So the questions that many of us are currently considering include “What is AI really?”, “Can it help us succeed?” and “Are we missing out?” Download this guide from author and […]
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Autonomous agents: Your data’s next evolution
Transform your data and AI workflows with AI. This guidebook explores architecture of goal-oriented data agents, Google Cloud’s pre-built solutions and tools to build custom data agents, all powered by Google’s leading AI and integrated cloud ecosystem.
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The token cost reckoning arrives in the CFO’s office.
As enterprise AI evolves, autonomous agents are driving token volumes far beyond early chatbot deployments. Yet, while budgets expand, barely 15% of decision-makers track tokens efficiency.
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Build AI apps and agents with AlloyDB for PostgreSQL
As enterprises build AI apps and agents, they need access to live operational data—but that data can become fragmented across specialized databases, copies, and pipelines. AlloyDB for PostgreSQL brings AI capabilities like high-performance vector search directly to your operational database, helping you build on live PostgreSQL data without adding unnecessary complexity. With 100% PostgreSQL compatibility, […]
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A practitioner’s guide to Apache Spark
Modernize and scale your data platform with Google Cloud’s Managed Service for Apache Spark. Written specifically for data engineers, scientists, and architects, this guide delivers low-level architectures, step-by-step blueprints, and runnable code templates to build cost-effective pipelines using serverless execution, managed clusters, and vectorized native C++ processing.
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Scaling AI agents with trustworthy data
The new MIT Technology Review Insights report, in partnership with Google Cloud, reveals how data leaders are building trustworthy, scalable foundations for agentic AI.
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Secure AI starts with secure data
As AI shifts from passive analysis to autonomous action, your security surface expands. Traditional security perimeters weren’t built for an agentic future. This guide details how Google Cloud built one that moves with your data, wherever it lives, so you can deploy and scale AI with confidence.
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Safeguarding your data in the cloud, on your terms
For governments and regulated industries, the path to the cloud has often required a difficult choice: sacrifice innovation for strict sovereignty, or compromise on control to access modern capabilities. Google Cloud eliminates this trade-off. This white paper details how Google Cloud Data Boundary empowers you to maintain control over your data while leveraging the full […]
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Unlocking AI’s full potential: 2025 DORA AI Capabilities Model report
Discover insights from nearly 5,000 technology professionals on how to successfully implement AI in your software development lifecycle. Learn about the seven foundational capabilities that are proven to maximize the value and success of AI adoption.
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