... Relying on AI to expand test coverage leads to missed defects, as AI-generated tests often lack depth and precision. To mitigate this risk, software engineers should use AI mutation testing, an emerging technique, to strengthen unit test effectiveness and deliver robust, reliable software. Overview ...
Analyst(s): Sushant Singhal | Erin Khoo
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... Agentic AI is the key to business transformation as innovative insurers reengineer digital and customer experiences and deploy a hybrid workforce model that leverages AI agents with human-centric design. Insurance CIOs must optimize agentic AI use to prepare for organizational transformation. Insights ...
... growing amount of data available to organizations with the intense and increasing expectations of their colleagues to deliver insight in support of critical use cases. AI is only accentuating both challenges by opening new categories of data and placing new burdens of expectation on the use cases for that ...
... control-centric function into a system that actively enables trusted AI at scale. With more GenAI and autonomous agents, legacy governance models are becoming a primary constraint, slowing deployment, increasing risk exposure, and limiting AI value. Insights at a Glance Strategic Planning Assumption Issue ...
Analyst(s): Cameron Roche | Dalia Naguib | Ray Collins
... programs rely on manual processes that are resource-intensive and provide limited risk insight. AI improves disclosure quality, automates workflows, and enables continuous risk monitoring. However, human oversight of AI remains essential. Insights at a Glance Impact Actions Cautions How to Execute Success Measures ...
... Agentic AI’s continuous, multiturn execution loops demand a fundamental rethink of infrastructure. By modernizing existing on-premises data centers, enterprises can eliminate unpredictable token-burn rates and data gravity risks from agentic AI to achieve superior performance and absolute compliance, ...
... AI is fundamentally fracturing the traditional T-shaped I&O talent model, rendering it obsolete. Heads of I&O must immediately mandate the shift to comb-shaped profiles — a non-negotiable requirement to mitigate automation risk and secure operational control over AI-driven environments. Insights at a ...
... Access Insights Already a Gartner client? Technical cloud metrics fail to answer the strategic questions executives care about. Heads of infrastructure and operations can use these insights to translate cloud performance into business-driven KPIs, enabling confident executive decisions, sustained funding ...