... losing up to 25% market share by 2030. Businesses that meet customer expectations for real-time adaptability will gain an edge — especially in industries like healthcare, manufacturing and logistics — where precision and reliability matter most. 4. Machine customers: Nonhuman buyers changing the marketplace ...
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... organizations to navigate disruption and efficiently deliver capabilities. Software engineering leaders must use this foresight to accelerate innovation with AI-driven automation and implement efficient, future-ready engineering practices. Overview What You Need to Know Gartner Recommended Reading Gartner Research ...
... Already a Gartner client? AI code assistants now span broader SDLC tasks and enable developers to focus on high-value, creative problems, boosting incremental productivity and developer experience. Software engineering leaders should use this research to evaluate the capabilities of AI code assistants against ...
Analyst(s): Philip Walsh | Matt Brasier | Arun Batchu | Haritha Khandabattu
... AI data retrieval allows users to access financial and nonfinancial data from multiple sources in real time, enabling quicker and more accurate analysis. CFOs should reference this implementation guide to support leaders and teams as they assess, pilot and operationalize this AI use case. Contributors ...
... Built-in intelligence is decentralized and extends outward to edge devices and the end user.
To become a more agile organization, the following technologies should be tracked: composable enterprise, packaged business capabilities, data fabric, private 5G, embedded artificial intelligence (AI) and low-cost ...
... AI will have a significant impact on CPS security, introducing risks and technical challenges, but also opportunities. This research provides product leaders with insights to focus on specialized skills and resources and leverage AI-based capabilities to enhance CPS security features. Overview Analysis ...
... Tech services leaders are bullishly investing inAI and need a way to quantify the impact of these investments. Tech services leaders should stop relying on isolated productivity measures to justify AI investments and instead use a balanced set of value metrics tied to growth, efficiency, talent, governance ...
... AI slop — unverified outputs that appear trustworthy but mislead decisions and erode customer trust — has become a defining risk for products. To compete in today’s agentic AI race, providers must deliver verifiable intelligence: AI that can prove what it knows, how it acts and why it’s right. Insights ...
... client? CIOs responsible for smart cities must lead the shift to integrated, AI-driven, sovereign ecosystems. Super apps and agentic AI will redefine urban services, boost trust, and unlock scalable value for citizens and businesses in a transparent, resilient future. Overview Strategic Planning Assumptions ...
Analyst(s): Milly Xiang | Daniel Nieto | Bettina Tratz-Ryan