Topic: organizational readiness

  • 82% of Marketers Struggle With AI - Here’s the Solution

    82% of Marketers Struggle With AI - Here’s the Solution

    82% of marketers struggle with AI implementation due to organizational structures that hinder its full potential for targeting and personalization, despite the availability of powerful tools. Automation without human oversight can lead to failures, as illustrated by a chocolate manufacturer's AI-...

    Read More »
  • Higher Ed Data Reveals SEO & AI Search Insights

    Higher Ed Data Reveals SEO & AI Search Insights

    AI-driven search summaries have not replaced SEO but added a critical new layer, requiring brands to win visibility both in organic rankings and within AI-generated answers, which now shape user trust and decision-making early in the journey. Research shows a strategic gap where most organization...

    Read More »
  • Unlock a Successful DXP Migration with AI

    Unlock a Successful DXP Migration with AI

    Digital experience platform migrations often fail due to execution challenges like scope creep, technical debt, and integration complexities, leading to budget overruns and project delays. AI and automation can streamline migration by converting templates, mapping content, and preserving SEO effi...

    Read More »
  • Metrics Don't Lie, But They Can Mislead Without Business Context

    Metrics Don't Lie, But They Can Mislead Without Business Context

    Aligning IT with business outcomes requires shared metrics and joint forums where technology and business priorities are reviewed together to ensure accountability for both IT performance and commercial results. As companies shift to managing cloud and multi-vendor environments, essential skills ...

    Read More »
  • Avoid These 6 Common Agentic AI Mistakes

    Avoid These 6 Common Agentic AI Mistakes

    Organizations face challenges with agentic AI due to common pitfalls like vendor rebranding of basic automation as AI, which can be identified by demanding evidence of adaptive, goal-oriented decision-making during testing. Key risks include data-set creep, where AI accesses unauthorized informat...

    Read More »