... a Gartner client? AI is changing traditional workplace operating models by democratizing access to technology, generating insights and changing the relationship between people and technology. To manage AI-driven change, application and software engineering leaders must measure AI’s impact on systems ...
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... productivity continue to challenge supply chain leaders and threaten to limit the expected benefits from their investments in areas such as artificial intelligence (AI) and smart infrastructure. Gartner experts said that supply chain leaders need to invest in leading people differently to better extract ...
... AI is changing how software engineering teams design, build and test applications. Amid growing business demand, this video shows how IT leaders can drive the adoption of AI-augmented development tools and practices that enhance software engineers’ capabilities to deliver high-quality applications. ...
... through how guardian agents are emerging as a critical tool for organizations deploying AI agents. As agentic AI systems become more commonplace, guardian agents will monitor, oversee and even protect against rogue AI behavior, ensuring quality and control. Gartner Research ...
... 57 nominations for Eye on Innovation for CSPs awards. Almost half of these nominations included AI and data and analytics as focus areas. This research will help CSP CIOs see how some CSPs have been using AI technologies and what outcomes they have achieved. Data Snapshot Data Insights Gartner Recommended ...
... Access Research Already a Gartner client? AI engineering tools enable enterprises to operationalize AI faster, balancing both governance and time to market. We highlight innovative vendors that enable IT leaders to robustly operationalize their AI projects. Overview Analysis Gartner Recommended Reading ...
Analyst(s): Manjunath Bhat | George Brocklehurst | Arun Chandrasekaran | Arup Roy
... Takes Fresh insights on emerging trends Generative AI has disrupted the conversational AI space. Due to the dynamically evolving nature of this space, applications and software engineering leaders should revisit or reevaluate their conversational AI initiatives to discern the best approach to adoption ...
Analyst(s): Bern Elliot | Arup Roy | Stephen Emmott | Adrian Lee | Gabriele Rigon | Justin Tung
... client? As organizations evolve from AI pilots to operationalized AI, governance will become crucial to continuing success. CIOs and executives must blend IT, risk, and data and analytics governance domains to make appropriate decisions on the responsible use of AI across the enterprise. Overview Introduction ...
... Access Research Already a Gartner client? AI Leaders can use this tool to estimate their current readiness across several fundamental maturity pillars: AI strategy, AI use-case and product portfolio, AI governance, AI engineering, AI data, AI ecosystems and operating models, and people and culture. ...
Analyst(s): Leinar Ramos | Anthony Mullen | Alex Lowe Welch | Pieter den Hamer