... Already a Gartner client? As AI advances in logistics, some organizations struggle to move from pilots to scalable results. This research explains how to enable decision-ready logistics data, embed AI into execution workflows, and redesign logistics workflows and decisions to scale AI. Insights at a Glance ...
Analyst(s): Jose Reyes
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... The AI job apocalypse narrative claims that AI will wipe out jobs, crater wages, and dry up spending. However, economic history and enterprises’ activities right now indicate that AI is triggering a transformation — not an end. CIOs must prepare effectively, approaching it like shockwave realists. Insights ...
Analyst(s): Jeff Cribbs | Helen Poitevin | Brook Selassie
... AI applications and AI agents rely on a complex set of third-party models, vector databases, and orchestrators. This research defines five steps to help CISOs secure the life cycle of AI assets from development to autonomous execution to ensure supply chain security. Insights at a Glance Strategic Planning ...
... AI will touch most finance work, but its impact is uneven and more human-involved than many anticipate. This research maps the task-level AI automation potential across finance to give CFOs granular insight into the work AI will change and the effort necessary to make that possible. Insights at a Glance ...
... Access Insights Already a Gartner client? CFOs play a critical role in shaping enterprise AI strategy as C-suites grapple with fragmented and fast-evolving AI efforts. CFOs must articulate a coherent enterprise view of AI, including the strategy’s purpose and principles, to align leadership decisions and investments ...
... Insights Already a Gartner client? AI is now a key part of mainstream software, but the adoption of leading-edge software quality tools and practices for testing AI-powered applications is still lagging. This guide shows software engineering leaders how to adopt and scale AI application and agent testing ...
... role in achieving their organization’s AI value ambition. Through 2030, the D&A leader’s mandate is to deliver new trusted data, context foundations and proactive intelligence. Making these AI-augmented capabilities accessible to teams of broad-skilled humans and AI agents is an imperative. Analysis Research ...
Analyst(s): Sumit Agarwal | Afraz Jaffri | Lauren Kornutick | Sarah James | Ehtisham Zaidi | Carlie Idoine | Rita Sallam | Soyeb Barot | Sarah Turkaly | Anurag Raj | Christopher Long
... Despite rising expectations, AI is not yet delivering across-the-board productivity gains for recruiters. Recruiting leaders must reset expectations that AI’s near-term benefit is quality, not efficiency. Real productivity gains are possible but require process redesign to capture them. Insights at a ...