... Access Insights Already a Gartner client? The early days of the AI build-out are over and organizations have learned valuable lessons about AI cost, value, governance and geopolitics. GC should use these seven trends to understand AI’s impact on the enterprise, inform risk management decisions and determine ...
Analyst(s): Chris Audet
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... sketching, in combination, a consolidated and highly autonomous enterprise. Those projections capture expectations, and possibly the instinct to rein in AI risk with central control, not destiny; Gartner’s scenario analysis points instead to distributed, ecosystem-based operating models. Heads of EA should ...
... Sales managers are force multipliers for team performance, but too much of their time is spent on noncore activities. CSOs must simplify the role through technology to offload or augment tasks, allowing sales managers to focus on high-impact, human-led activities that drive team performance. Insights ...
... of I&O may be attracted to the idea of using AI to accelerate FinOps efforts and achieve rapid cost savings. However, AI and tools alone will not create a mature FinOps practice. You must establish good foundational practices, build skills, and govern AI usage to achieve long-term success. Insights at ...
... difficult for CISOs to choose just one engine, leading to policy conflicts, gaps, and duplication. They must ensure alignment with business goals, regulations, and infrastructure. Insights at a Glance Impact Actions Cautions How to Execute Success Measures Gartner Recommended Reading Gartner Insights Abstract ...
... Smaller AI innovators are disrupting the IPSIS market by moving beyond traditional design thinking and “code-only” software engineering. They focus on augmenting personalized, human engagement, and bridging digital and physical product experiences. Insights at a Glance Issue Impact Implications Gartner ...
... scale trustworthy AI, D&A leaders need to mitigate vendor lock-in by ensuring machine-readable context remains accessible across platforms. Leaders should develop an open, interoperable active metadata layer that enables intelligence to flow across the data ecosystem and supports greater AI scalability. ...
... Access Insights Already a Gartner client? Despite heavy investment in AI training, playbooks, and access for employees, organizations are not seeing results from their AI investments. This is not because AI cannot produce value, but because employee adoption is fundamentally unable to generate ROI without ...