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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6 Lessons for Cybersecurity Leaders
The state of security is highly adrenalized these days — more so than usual. Years into the deadly and disruptive global pandemic, not only are we still seeing more attacks, we’re also seeing more breaches, as the way many of us work continues to evolve. New global research conducted by Splunk and the Enterprise Strategy […]
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Boost productivity on all levels with AI
Looking to empower your employees, streamline team workflows, and elevate leadership insights? Discover how RingCentral’s AI solutions can improve productivity across personal, team, and leadership levels. Download the datasheet to explore: • Common challenges faced by employees, teams, and leaders. • Practical examples of how AI-powered tools solve these challenges. • Success stories, such as […]
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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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