... In uncertain times, the wrong priorities will endanger your revenue, cash, and company value. Focus on the three mission-critical AI priorities of today’s tech CEOs to shape early achievements and accelerate business impact. Action Name Gartner Insights Abstract ...
Analyst(s): Sabine Zimmerhansl
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... Insights Already a Gartner client? The traditional service talent model is a rigid, bottom-heavy pyramid with limited career mobility. Leaders using AI are shifting to a diamond-shaped model, creating a more connected talent ecosystem that values collaboration and improves customer experience. Insights ...
... Access Insights Already a Gartner client? Leaders responsible for AI must manage the cost of turning enterprise data into insights and actions. Use this checklist to control token spend, eliminate waste, and align AI consumption with business value by shifting from data availability to context economics ...
Analyst(s): Soyeb Barot | Yogesh Bhatt | Deepak Seth | Ray Collins | Adam Ronthal | Antonia Roesler
... response quality and relevance. It allows infrastructure flexibility and cost-effectiveness through cloud-neutral or on-premises deployments for sovereign AI. ...
... Memory chip demand (DRAM and NAND) has surged driven by major AI cloud data centers, resulting in significant price increases for PCs in early 2026 and likely disruptions in product availability. Heads of I&O must review and adjust PC purchasing plans and budgets to navigate price increases. Insights ...
... insights on emerging trends CIOs should not wait for AI audits to be mandatory before benefiting from an independent level of assurance. California’s SB 813 and 18 September 2026 executive order have laid a foundation for a market of independent AI auditors, but CIOs can act today to align third-party ...
... Insights Already a Gartner client? Cybersecurity teams cannot scale AI adoption if every use case receives the same level of review. Use a two-phase cybersecurity assessment process: a quick risk screen to identify elevated-risk AI use cases, and a targeted risk assessment to evaluate only the risks ...
... management not only by automating data management tasks but also by prioritizing machine-oriented design for broader AI workloads. D&A leaders must modernize strategies, upskill teams and invest inAI-optimized solutions to manage this disruption. Insights at a Glance Strategic Planning Assumption Issue Impact ...