Nonprofits are the unsung heroes of communities around the world—and they deserve access to technology that helps them make the most impact. This research paper will be invaluable for nonprofit leaders looking for tech strategies with the most potential to help them advance their missions with limited resources. Learn best practices of AI “Pacesetters” already […]
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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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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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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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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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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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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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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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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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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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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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