... compete in an AI-driven world. Furthermore, NED optimism over AI may not account for potential negative impacts of the technology, which few organizations have tackled. For example, only 7% of heads of enterprise risk management (ERM) have fully accounted for risk interdependencies from AI. Non-AI technologies ...
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... Access Research Already a Gartner client? Agile development practices, cloud-native architectures and the increased usage of open-source software amplify the need for continuous security and compliance. This research helps software engineering leaders guide their teams to integrate developer-friendly ...
... Access Research Already a Gartner client? Legacy application platforms limit development team performance. Software engineering leaders should use this research to proactively select the optimal combination of SaaS, low-code, and cloud-native application platforms to accelerate application development ...
... Traditional, linear workforce planning can no longer keep up with today’s rapid change. Executive leaders who integrate scenario planning can help their organizations better anticipate talent risks and build effective workforce plans for a range of plausible futures. Gartner Research ...
... Client Story How World Bank Group Modernized HR Technology Strategy Learn how Romain Bresson, Manager of the Shared Services Department at World Bank Group, leveraged Gartner to develop an HR Technology roadmap and strategy for the HR function. Mission-critical priority Romain Bresson needed to quickly ...
... Colorado’s new AI regulations eliminate onerous risk management and monitoring obligations, opting instead for narrower regulations on automated decision-making technologies. Despite the rollback, GC must maintain robust AI governance to manage the law’s notice and documentation obligations. Insights ...
Analyst(s): Stuart Strome | Laura Cohn | Nader Henein | Lydia Clougherty Jones | Allysa Johnson
... toward unified enterprise AI. For customers, Otto enables users to initiate and manage end-to-end agentic workflows, but they should pilot its features, assess fit with current systems, and plan governance before scaling adoption. Gartner Recommended Reading Note 1: ServiceNow AI-Driven Acquisitions Gartner ...
Analyst(s): Alastair Woolcock | Jan Cook | Christopher Dixon | Chris Laske | Mike Gotta
... client? AI agents product management is different from traditional SaaS or software. It requires strong focus on ethics, trust and continuous adaptation. This research note outlines five essential AI agents product management principles that help product leaders adapt their mindset, and design AI agents ...
... Insights Already a Gartner client? Current AI governance solutions fail to support decision provenance, creating an untapped differentiation opportunity. This research outlines eight required infrastructure layers that capture, explain, govern, and audit AI decisions end to end. Product leaders who enable ...
Analyst(s): Gareth Herschel | Jim Hare | Kevin Quinn