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cover of episode Bonus Episode: Generative AI Trends for 2024 With Tom Davenport

Bonus Episode: Generative AI Trends for 2024 With Tom Davenport

2024/2/6
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Me, Myself, and AI
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Sam Ransbotham
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Shervin Khodabandeh
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Tom Davenport
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Tom Davenport：许多公司对生成式AI的兴趣过于浓厚，而忽视了传统AI的价值，传统AI在许多公司中仍然具有同等甚至更高的相关性。生成式AI的应用仍处于早期实验阶段，即使是先进的公司，其生成式AI应用也大多未投入生产。生成式AI可能会分散公司对传统AI的注意力，而传统AI在很多情况下可能更有价值。生成式AI将使更多非专业人士能够参与到AI系统开发和自动化中。在AI领域，快速跟随者很难赶上领先者，因为积累数据和招聘人才需要很长时间。企业难以快速采用AI技术的部分原因在于管理层缺乏对AI机会和技术的理解，以及对AI的恐惧或无知。大型企业拥有大量数据，这在AI应用中具有优势，但对于初创企业来说，获取所需数据可能是一个挑战。需要探索最佳的人机协作方式，并非简单地依赖AI工具生成最终结果。公众对生成式AI的认知度仍然较低，尤其是在少数族裔群体中，学校需要承担起教育大众如何有效利用AI技术的责任。在AI课程中，让学生展示他们的工作过程、提示词和编辑过程，可以帮助他们更好地理解和使用AI工具。 Sam Ransbotham：公司对AI的采用存在三种模式：持续投资AI的领先者；采取小步快跑策略的追赶者；以及误以为生成式AI可以取代所有AI的落后者。生成式AI能够通过编写代码来执行高级数据分析任务，其能力令人惊叹。要大规模获得AI的价值，70%取决于在组织内部的嵌入、采用和流程变更，而生成式AI能够简化这一过程。生成式AI可能导致人们忽视安全协议和质量保证等重要环节，从而增加风险。与其禁止AI工具，不如调整教学内容和难度，引导学生更具创造性地使用AI工具。积极学习和应用AI技术至关重要，被动等待可能会导致企业落后于竞争对手。AI技术供应商主要集中在大型科技公司手中，这可能会加剧技术巨头的垄断地位。年轻人对生成式AI技术的接受程度远高于老年人，学校和教师需要适应这一变化，并积极引导学生有效利用AI技术。 Shervin Khodabandeh：生成式AI能够更好地理解和处理文本数据，例如识别讽刺等复杂语言现象，这在传统方法中是难以实现的。生成式AI的出现增加了AI实施和采用的复杂性，企业需要谨慎应对，避免因犹豫不决而落后于竞争对手。禁止AI工具如同禁止互联网一样不切实际，应该积极探索如何利用AI工具促进学习和工作。应该探索如何将人类能力与AI工具结合起来，以实现更优的结果。

Deep Dive

Chapters
The episode discusses the excitement around generative AI and its impact on different types of companies, from early adopters to those lagging behind.

Shownotes Transcript

While Me, Myself, and AI is on winter break, we hope you enjoy this episode. Tom Davenport, President’s Distinguished Professor of Information Technology and Management at Babson College, joins Sam and Shervin to talk about their predictions for AI trends in 2024.

 Find the additional studies and resources mentioned in the episode below:

Tom Davenport’s articles with MIT SMR)

2024 CDO Insights: Data & Generative AI(form required for download via AWS))

Why Companies That Wait to Adopt AI May Never Catch Up)

What the data says about Americans’ Use of Artificial Intelligence (Pew Research))

What do AI chatbots really mean for students and cheating? (Stanford Graduate School of Education))

Randy Bean’s 2024 Executive Survey)

 Guest Bio

Thomas H. Davenport is the President’s Distinguished Professor of Information Technology and Management at Babson College, a visiting professor at Oxford’s Saïd Business School, and a fellow of the MIT Initiative on the Digital Economy. He is coauthor of Working With AI: Real Stories of Human-Machine Collaboration (MIT Press, 2022).

Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger.

Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders) or by following Me, Myself, and AI) on LinkedIn. 

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