Based on a survey of 3,466 senior leaders of global enterprises, this report unpacks the stats to give you an up-to-the-minute snapshot of how gen AI and agentic AI are helping organizations deliver highly engaging, personalized, and human-like customer experiences at scale.
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By 2026, more than 80% of enterprises will use GenAI to improve ways of working. In this ebook, discover how GenAI can boost IT teams’ productivity by enabling faster issue resolution, automating repetitive tasks, and improving self-service experiences, all while reducing costs on a single AI-driven platform.
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Shift From Growth-at-All-Costs to Long-Term Profitability Today’s tech CFOs face tighter funding, lower valuations and higher pressure to stretch every dollar. In a volatile market, here’s how you can make the critical pivot from a growth-first mindset to a more long-term outlook. What’s at Stake?Investors prioritize companies with strong financial fundamentals. If you fail to […]
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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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College athletics has entered a new era of athlete compensation, tighter budgets, and around-the-clock demands from student-athletes, families, fans, and donors. This whitepaper explores how RingCentral’s agentic AI – AI Receptionist, AI Virtual Assistant, and AI Conversation Expert – helps athletic departments automate routine communications, support staff in real time, and turn every conversation into […]
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Discover how to transform client interactions and gain a competitive edge with AI-powered communication solutions. This infographic showcases key insights and stats to help financial services organizations enhance efficiency and improve satisfaction. • Key statistics on how AI improves communication efficiency and response times.• Data on client satisfaction increases driven by AI-powered solutions.• Metrics showcasing […]
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