... Gartner client? C-suite leaders, influenced by vendor promises, media hype, and market expectations, are pressuring customer service leaders to “do AI.” However, AI is not a strategy. This four-step approach will give leaders a data-driven analysis that resets expectations and surfaces credible cost-saving ...
Analyst(s): Patrick Quinlan | Emily Potosky
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... Redesigning HR processes is crucial to realize AI ROI, yet many HR teams treat AI as just a technology upgrade, missing the opportunity to truly transform how work happens. CHROs can use this tool as a starting point to reimagine key HR workflows for AI and accelerate HR AI transformation success. When to Use ...
... AI innovations are a top agenda item for many data and analytics leaders in China. Use this comprehensive guide, which covers the most important themes required for a successful AI journey, to navigate AI adoption. When to Use Gartner Recommended Reading Gartner Research ...
... Strengthen resilience in the face of techno-social fragility Technology is essential for economic and societal stability, but it cannot always be relied upon to function flawlessly — especially in a world defined by volatility. Growing geopolitical tensions and the rise of generative AI have introduced new ...
... Access Insights Already a Gartner client? AI is transforming data management systems, knowledge management and knowledge engineering. Data and analytics leaders will gain productivity and agility in the short term, and in the long term the enablement of next generation data architectures, data fabrics ...
Analyst(s): Stephen Emmott | Henry Cook | Roxane Edjlali | Michael Gonzales | Prasad Pore
... World models are gaining attention for their potential to enhance AI agents, which demand adaptive simulation capabilities to more efficiently interact with complex, dynamic environments. Our insights will help AI leaders understand the technical landscape, top use cases and risks associated with this ...
... Microsoft’s market dominance with M365 gives it a significant advantage over other AI competitors for rapid market proliferation of enterprise AI assistants and agents. AI leaders must understand its strengths and weaknesses to align resources, mitigate risks and ensure responsible competitive innovation ...
... Gartner client? AI network fabrics have emerged as a unique market, distinct from general-purpose data center switches. While adoption of AI network fabrics has been limited to technology companies, Heads of I&O deploying AI infrastructure on-premises can use this guide to optimize AI infrastructure investments ...
Analyst(s): Andrew Lerner | Simon Richard | Naresh Singh