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cover of episode 887: Multi-Agent Teams, Quantum Computing and the Future of Work, with Dell’s Global CTO John Roese

887: Multi-Agent Teams, Quantum Computing and the Future of Work, with Dell’s Global CTO John Roese

2025/5/13
logo of podcast Super Data Science: ML & AI Podcast with Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

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John Roese: 在人工智能项目启动之前,投资回报率(ROI)是首要考虑因素。在商业环境中,技术的应用应直接服务于业务目标,如提高利润、增加收入、降低成本和控制风险。衡量人工智能活动与实际业务成果之间的联系至关重要。例如,如果人工智能能使销售团队花更多时间与客户互动,这将是一个有意义的应用。然而,仅仅提高销售团队的满意度而无法衡量其对业务的实际影响则意义不大。因此,将人工智能活动与可衡量的投资回报率紧密结合,对于确保人工智能战略的有效性和商业价值至关重要。我坚信,技术只有在对所属实体有实际意义时才真正有用,而这种意义通常体现在对业务流程的改进上,从而带来可量化的商业效益。

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Jon Krohn speaks to John Roese about the promise of multi-agent teams for business, the benefits of agentic AI systems that can identify and complete tasks independently, and how these systems demand new authentication, authorization, security and knowledge-sharing standards. They also discuss how to use AI to refine project ideas down to a core business need, as well as the new and emerging careers in the tech industry and beyond, all thanks to AI.

Additional materials: ⁠⁠www.superdatascience.com/887)

This episode is brought to you by ⁠__Adverity, the conversational analytics platform__⁠) and by the ⁠__Dell AI Factory with NVIDIA__⁠).

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

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(03:54) Why ROI is the most important aspect of an AI-driven project 

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(14:06) Why high-impact AI projects trigger a flywheel of success

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(23:32) The future of agentic systems 

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(30:28) How to manage agentic systems at scale

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(46:36) The disruptive nature of quantum computing