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Premium Research Apr 2024
... Build or buy decisions for AI must consider a wider variety of factors and a more significant amount of uncertainty than similar decisions for traditional technologies. CFOs can use this research to set a starting point and determine exceptions based on organizational priorities and uncertainties. Overview ...

Analyst(s):   Finance Research Team
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Premium Research Jul 2024
... Increasing failure rates of enterprise AI deployments are derailing durable revenue growth for product leaders. This tool provides weighted criteria to identify prospects who are more likely to get to value faster, achieve higher value realization and present greater account expansion potential. When ...

Analyst(s):   Raymond Paquet   |   George Brocklehurst
Premium Research Aug 2024
... In the age of AI, no organization or employee will thrive unless learning keeps pace with accelerating disruption. This research shows executive leaders how to supercharge skills development through proven agile learning practices, fueling a virtuous cycle of enterprise and employee growth. Overview ...

Analyst(s):   Mary Mesaglio   |   Lee-Anne Vallée   |   Meaghan Kelly   |   Travis Wickesberg   |   Jose Ramirez   |   Lily Mok   |   Graham Waller   |   Peter Hyde   |   Helen Poitevin
Premium Research Oct 2024
... Enterprise scale adoption of GenAI is critical to provider success. Providers will make investments of more than $1 trillion in AI. Product leaders must build enterprise demand to earn a return on those investments. This research presents three scale adoption approaches product leaders can use. Overview ...

Analyst(s):   Mark McDonald
Research Feb 2025
... Access Research Already a Gartner client? CMOs are eager to deploy AI chatbots, but many fail to weigh the risks to reputation and customer experience properly. When implementing chatbots, consider appropriate use cases, limit inputs and outputs to avoid improper responses, and test thoroughly. Overview ...

Analyst(s):   Augie Ray
Premium Research Jan 2024
... The edge AI technology market is maturing, making benchmarking data important for competitive positioning. Product leaders should use these benchmark findings to assess how their pricing models, sales allocation, success measures and overall investment strategy compare to industry peers. Overview Strategic ...

Analyst(s):   Ethan Cai
Premium Research Jun 2023
... In a May 2023 survey, most healthcare payer organizations report that large language models powering ChatGPT-like generative AI tools will significantly impact the industry. These survey insights help CIOs detail use case priorities, timeframes to implement and actions taken with these technologies. ...

Analyst(s):   Mandi Bishop
Premium Research Oct 2023
... CIOs can use this interactive tool to identify executive leaders’ biggest concerns about generative AI (GenAI), like privacy issues or risk of misuse. Anticipate implementation challenges by understanding the views of peer leaders by industry, region or role. Data Insights Directions for Use About This ...

Analyst(s):   Industries Research Team
Premium Research Mar 2024
... is feasible when it comes to AI can be challenging, given the complexity and newness of the technology. Finance transformation leaders can take a disciplined approach by prioritizing high-impact feasibility criteria and understanding the feasibility requirements for the AI use cases. Overview Conclusion ...

Analyst(s):   Rajat Pandey   |   Marco Steecker
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