Data Faces Podcast
Data Faces Podcast
Podcast Description
Data Faces is a podcast that brings the human stories behind data, analytics, and AI to the forefront. Join us for engaging interviews and discussions with the industry’s leading voices—the leaders, practitioners, and tech innovators who are shaping the future of data-driven decision-making. In each episode, we explore the culture, challenges, and real-life experiences of the people behind the numbers. Whether you're a tech executive, data professional, or just curious about the impact of data on our world, Data Faces offers a refreshing look at the individuals and ideas driving the next wave
Podcast Insights
Content Themes
The podcast covers themes such as the impact of AI on business, data integrity, historical lessons on technology, and ethical considerations in AI. Episodes include discussions on why 90% of Gen AI projects might fail, the role of trusted data in successful AI initiatives, and how historical revolutions inform our understanding of AI's future potential.
Data Faces is a podcast that brings the human stories behind data, analytics, and AI to the forefront. Join us for engaging interviews and discussions with the industry’s leading voices—the leaders, practitioners, and tech innovators who are shaping the future of data-driven decision-making. In each episode, we explore the culture, challenges, and real-life experiences of the people behind the numbers. Whether you’re a tech executive, data professional, or just curious about the impact of data on our world, Data Faces offers a refreshing look at the individuals and ideas driving the next wave
📢 What happens when AI agents take on real tasks in marketing, sales, and operations? In this episode, Chelsea Wise of Relevance AI shares practical insights on how AI agents are transforming the future of work.
Chelsea draws on her startup experience, academic background in consumer behavior, and role at Relevance AI to explain what leaders often underestimate about AI agents—and how to prepare teams for change.
🔍 Key Takeaways:
1- Why AI agents will shift work at the task level rather than replacing entire jobs.
2- The overlooked role of peer-to-peer learning in building trust in AI.
3- Practical, “unsexy” use cases where AI agents deliver real business value.
4- How hackathons and hands-on learning can unlock organizational buy-in.
5- Why critical thinking and ethics must guide AI adoption.
⏳ Timestamps for Easy Navigation:
00:00 – Introduction & Chelsea Wise background
04:15 – The underestimated impact of AI agents in the workplace
07:12 – Learning, trust, and human-to-human collaboration
12:00 – What AI agents do well vs. where humans remain essential
18:00 – Rethinking the marketing playbook with AI
20:42 – Lessons from internal hackathons
25:29 – Misconceptions about AI in enterprise marketing
28:36 – Real-world “spreadsheet” use cases for AI agents
32:21 – Preparing teams and leaders for AI agents
34:17 – Teaching AI ethics and critical thinking
38:11 – Final thoughts & resources
📩 More insights & resources:
👉 Blog recap: https://prompts.tinytechguides.com
🔗 Connect with Chelsea Wise:
💼 LinkedIn: https://www.linkedin.com/in/chelseawise/
🌎 Website: https://relevance.ai
💬 What do you think—are AI agents ready for your team? Drop your thoughts in the comments!
👍 If you enjoyed this video, like, share & subscribe for more conversations on AI, data, and leadership.
#AIAgents #FutureOfWork #DataFacesPodcast
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