Workday's new product head hopes he can make you like Workday

Key takeaways

There is a significant disconnect between users and executives in enterprise software, leading to frustration.
AI has the potential to significantly improve the user experience of enterprise software by automating repetitive tasks.
Understanding user needs and real-life interactions with software is crucial for improving user satisfaction.
There are ethical challenges in incorporating AI, especially regarding bias in hiring practices and data handling.
Investment in AI is becoming essential for enterprise software companies to adapt and innovate in a rapidly changing tech landscape.

Summary

Rediscovering Moral Ambition in Enterprise Software

The episode opens with a reflective discussion about how fresh graduates enter the workforce with dreams of improving systems like tax and corporate structures only to find themselves jaded by real-world enterprise software like Workday. The hosts highlight the loss of moral ambition among professionals and consider how to reclaim it as they navigate the frustrations associated with enterprise systems.

The Role of AI in Transforming Workday

As Garrett Kazmaier, the president of product and technology at Workday, joins the conversation, there's a significant focus on how AI can reshape the user experience and operational efficiency of the software. Garrett explains the current perception of Workday as frustrating, noting how the complexity of enterprise software leads to difficulties for users. He shares insights on the potential of AI to alleviate some of these challenges by streamlining user interactions and automating common tasks, thus enhancing overall productivity.

Understanding User Experience in Enterprise Software

The discussion dives into the user experience of Workday, emphasizing the disconnect between executive decisions and user frustrations. Garrett acknowledges that enterprise software often reflects the bureaucracy within organizations, leading to complicated user interfaces. He stresses the necessity of understanding users' real experiences and needs to eliminate the cumbersome aspects of software design, thereby improving interaction and satisfaction.

Bias and Ethical Considerations with AI

The episode raises important ethical questions surrounding the use of AI within Workday, particularly regarding bias in hiring practices. Garrett discusses how AI can inadvertently inherit biases from its training data, which poses serious risks in sensitive applications like HR. He stresses the importance of implementing comprehensive checks and understanding the context to design AI systems that minimize bias and provide fair outcomes.

Innovating in the Face of Industry Challenges

Garrett talks about the recent layoffs at Workday and how these serve as a pivot toward investing more in AI technology. Amid industry trends, he reinforces the importance of building a strong foundation in AI for effective outcomes. The conversation covers the balance of rapidly evolving technology versus maintaining human oversight and ethical standards in enterprise environments.

Show notes

Today, I’m talking with Gerrit Kazmaier, the brand-new president of product and technology at Workday. Gerrit’s new on the job, maybe a little bit braver than most, and to his credit he came on the show and took the heat. We spent a lot of time talking about what enterprise software really is, what it does and why it has a reputation of being so deeply frustrating for so many people.

Links:

Workday names Gerrit Kazmaier president of product and technology | Workday

AI Index Report | Stanford HAI

IBM AI Study | IBM

How generative AI will impact the future of work | Workday

Workday launches platform for companies to manage all of their AI agents | TechCrunch

Everyone hates Workday | Business Insider

Judge: Workday must face novel AI bias lawsuit | Reuters

Workday lays off 1,750, 8.5% of employees, in AI push | Associated Press

Why Workday's CEO made a layoff decision to invest in AI | FastCompany

Transcript: https://www.theverge.com/e/667538

Credits:

Decoder is a production of The Verge and part of the Vox Media Podcast Network.

Our producers are Kate Cox and Nick Statt. Our editor is Ursa Wright.

The Decoder music is by Breakmaster Cylinder.
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