... As AI handles more routine technical tasks, it frees up engineers to focus on complex problem solving and innovation. Gartner predicts that software engineering teams will become tiny teams — decreasing in size and increasing in number to efficiently leverage human and AI strengths and deliver high-value ...
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... Insights Already a Gartner client? Increasing AI adoption is exposing gaps in how cybersecurity teams manage cyber risk. This note outlines key actions across methodology, people and technology to help cybersecurity leaders adapt cyber GRC practices for embedding AI cyber-risk management, avoiding the creation ...
Analyst(s): Lampis Alevizos | Pedro Pablo Perea de Duenas | Deepti Gopal
... Access Insights Already a Gartner client? Traditional HR-IT silos hinder successful AI transformations. To enable AI at scale, CHROs must reinvent their HRIT operating model by driving operational fusion, incubating techno-functional talent and establishing skills-based career paths across HR and IT. ...
... Enterprises are adopting generative AI for data and analytics, but many struggle to scale AI without increasing cost, inconsistency and decision risk. This explainer examines why improving prompts or adopting stronger models is insufficient and how AI agent skills provide a more scalable foundation for ...
... To harness the value of AI-augmented EA effectively, heads of enterprise architecture must evolve team governance to create the structures, oversight, and processes to enable effective human-AI collaboration. This research highlights four key aspects to ensure AI-augmented EA delivers maximum value to ...
... emerging trends Huge investments in “sovereign compute,” data centers and AI announced at India AI Impact Summit 2026 could redefine the global compute economy and position India as a potential global powerhouse in enterprise AI. Heads of I&O in India should reassess their cloud strategy and architectures ...
... A successful AI strategy demands trust from employees and stakeholders, and confidence in the technology itself. Digital workplace and application leaders should guide without referring to AI as a colleague, easing job fears, and ensuring transparency and clear communication about your AI direction to ...
Analyst(s): Dan Wilson | Rachel O'Farrell | Erin Pierre | Max Goss
... Podcast | Mastering the Hype Cycle: How Cybersecurity Leaders Win With AIAI hype isn’t slowing down, and for cybersecurity leaders, that’s exactly the point. As organizations race to inject generative AI and AI agents into every corner of the business, CISOs face a new challenge: cutting through inflated ...
... Access Insights Already a Gartner client? To deliver AI-driven productivity, software engineering leaders must adapt their governance approaches for AI-native workflows. Redesign governance processes with AI-powered risk management, adaptive context-based controls, and guardrails embedded in platforms ...