Topic: marketing ai

  • From Data Chaos to AI Success: A Practical Framework

    From Data Chaos to AI Success: A Practical Framework

    The effectiveness of AI in marketing is entirely dependent on high-quality data, as poor data leads to underperformance and lost revenue opportunities. Marketing leaders must treat data quality as a shared, cross-functional responsibility, not just an IT issue, to ensure AI credibility and succes...

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  • AI in Advertising: Plans Abound, Action Lags

    AI in Advertising: Plans Abound, Action Lags

    The advertising industry is largely in early exploratory or planning phases with AI, as only about 16% of organizations have fully integrated AI tools across all teams. A major barrier to adoption is a persistent tooling gap, where over half of agencies lack licensed, specialized AI platforms for...

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  • Build AI Skills Now: 4 Steps Without Leadership Approval

    Build AI Skills Now: 4 Steps Without Leadership Approval

    Leadership often encourages AI adoption without providing clear guidance, requiring professionals to take a self-directed, hands-on approach to learning and building skills through practical, incremental steps. Effective AI skill development involves understanding discipline-specific applications...

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  • Salesforce Unveils Trustworthy AI Engine for Enterprises

    Salesforce Unveils Trustworthy AI Engine for Enterprises

    Salesforce has launched a unified data engine integrating Data 360, Informatica, and MuleSoft to provide AI with a reliable, contextual foundation, aiming to move beyond inaccurate outputs toward accurate, reasoned decisions. The platform addresses the widespread issue of AI hallucinations by gro...

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