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    Latest TechTarget resources
    • AI & Emerging Tech
    • Cybersecurity
    • Data Technologies
    • IT Infrastructure
    • IT Strategy
    AI & Emerging Tech
    • Zuckerberg's manifesto: Do Meta's promises and actions align?

      Mark Zuckerberg's manifesto on the future of AI sounds promising, with democratized AI and superintelligent personal agents for ...

    • Power-hungry AI data centers weigh viable energy sources

      AI data centers are encountering political resistance in some communities, but they'll be built elsewhere. Survival depends on ...

    • AI sycophancy: When leaders are told what they want to hear

      Agreeable AI can reinforce executives' bias in strategic, personnel and investment decisions. Leaders must build decision ...

    Cybersecurity
    • CISO's guide to RAG data security risks and protection strategies

      Retrieval-augmented generation enhances AI security, but expands the attack surface. Organizations need to aggressively manage ...

    • AI attacks lack stealth -- nation-state actors are changing that

      Today's AI attacks are still hard to miss and easy to stop, but nation-state threat actors are quietly pioneering low-and-slow ...

    • Unifying FinOps and SecOps: The case for FinSecOps

      The financial and operational aspects of security don't need to be separate disciplines. Is it time to consider a FinSecOps ...

    Data Technologies
    • AWS emphasizing database security as AI powers new threats

      While the tech giant has always focused intently on protecting proprietary data, its database security capabilities are taking on...

    • Data contracts gain urgency as AI tests data foundations

      Unreliable data can undercut AI efforts before they deliver meaningful returns. Data contracts help clarify accountability and ...

    • How CDOs can show the business impact of data

      CDOs can defend the spend on data programs by tying outcomes to saved time, lower risk, revenue gains and AI projects that reach ...

    IT Infrastructure
    • How AI workloads affect enterprise network design

      Distributed AI workloads reshape the architectures and strategies that enterprises traditionally relied on to plan network work ...

    • Why multi-cloud should be your default deployment model

      With a single-cloud strategy, organizations risk vendor lock-in, financial exposure and regulatory hurdles. A multi-cloud ...

    • How distributed computing drives revenue and resilience in cloud

      Now is the time to align infrastructure decisions with the speed and expectations of your customers. See how distributed ...

    IT Strategy
    • AI botsitting: Why your productivity gains aren't what they seem

      AI promised productivity gains, but workers now spend hours correcting its errors with AI botsitting -- a hidden cost draining ...

    • AI model incidents highlight security concerns

      In this Q&A, Seth Johnson, CTO at Cyara, discusses how enterprises need to sharpen their security policies and infrastructure in ...

    • Continuous IT learning in the age of AI, cloud and automation

      Continuous learning is essential in IT to bridge skill gaps, drive innovation and keep teams resilient against evolving ...

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