ServiceNow’s generative AI solutions are taking advantage of the data on its own platform
What is Chris Bedi's view on the practicality of AI models?
Chris Bedi, the Chief Customer Officer at ServiceNow, emphasizes the practicality of AI models, stating that a model is only as good as the platform it's attached to1. He believes that for AI to be truly effective, it must be integrated into workflows and experiences, enabling people to work more efficiently.
What areas does ServiceNow's generative AI focus on?
ServiceNow's generative AI focuses on three broad areas: systematically handling requests, improving agent performance across various fields, and accelerating innovation through automation and multimodal capabilities16. This approach aims to enhance productivity and streamline workflows in a practical, business-centric manner.
What challenges do ServiceNow's varying customer AI readiness levels pose?
ServiceNow's varying customer AI readiness levels pose challenges such as providing a range of solutions that cater to different capabilities and helping customers combine their own solutions with assistance from ISVs and MSPs to get up to speed with AI. Additionally, the company needs to balance its diverse AI strategy of building, buying, and partnering to meet customer expectations and leverage their existing AI partnerships.