... Gartner client? Chief sales officers struggle to quantify the ROI of AI investments as seller time saved is often not utilized for high-impact, revenue-generating activities. This research guides CSOs in establishing a playbook to redeploy AI-driven time gains into measurable revenue growth. Insights at a ...
Analyst(s): Muskan Gujral
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... Gartner client? AI data centers’ higher requirements for power, cooling, and overall infrastructure efficiency is increasing the importance of DCIM tools. Using them, heads of I&O enable real-time analytics, energy optimization, and predictive insights, for resilient, sustainable, and AI-capable infrastructure ...
... Gartner client? CISOs face mounting pressure to secure AI use while enabling business innovation at pace. This research provides essential components for an adaptive AI security roadmap that accounts for legacy risks, current AI security challenges and the AI-driven future without becoming a business blocker ...
... Insights Already a Gartner client? To support enterprise objectives, AI policies must evolve at the pace of AI adoption. AI leaders should create balanced, flexible policies that ensure effective and scalable governance to achieve enterprise AI ambitions. Insights at a Glance Impact Brief Actions Actions and ...
... Access Insights Already a Gartner client? AI-driven analytics increasingly influences decisions and automation, yet technical accuracy alone does not ensure business results. Data and analytics leaders should use AI evaluation to build trusted analytics, align outputs with business outcomes, and ensure ...
... As the adoption of generative and agentic AI increases, ensuring the secure usage of these technologies is essential for safeguarding data privacy and meeting regulatory compliance requirements. CIOs must monitor and learn from emerging use cases of confidential computing, to avoid incidents and manage ...
Analyst(s): Owen Chen | Bart Willemsen | Daniel Sun
... Access Insights Already a Gartner client? Over the next two to five years, agentic AI will consume many traditional L&D workflows. To remain valuable to the organization, CHROs will need to rebuild their L&D teams as fusion teams that create new value with outcome-based learning products. CHROs should ...
... AI agent development platforms offer a compelling vision of multiagent systems, but fall significantly short of vendor promises. This research provides software engineering leaders with five critical pitfalls of the technology. Gartner Research ...
... Agentic AI introduces dynamic, autonomous workflows that traditional data governance cannot manage. Bank CIOs must actively transform data governance from periodic data validation and quality monitoring to real-time, adaptive controls. Gartner Research ...
Analyst(s): Jonathan Jackson | Sudarshana Bhattacharya