Jar(gone)
A podcast bringing clarity to commonly misunderstood business jargon.
- Indexed episodes, last 90 days
- 2
- Latest publication
- Sep 1, 2026
- Audience
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- Earliest in this view
- Jul 14, 2026
Latest episodes
Do You Need Clean Data Before AI? (opens the original)
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There's a misconception that companies need to have perfect data before implementing AI. It’s simply not true. In reality, employees are going to use AI regardless. And doing nothing will cost companies. So how can organizations use AI when data isn’t perfectly clean? How can AI be used to clean data? What about ERP data and AI? Bill Aimone and Peter Purcell discuss data challenges and approaches to using AI even when data is messy (hint: AI might actually make handling “dirty data” even easier)
The AI Shake Up: Reviving the Trades, Rethinking Education, and the Future of Work (opens the original)
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AI can do a lot of the work now… so what makes people stand out? In this episode, we chat about the future of work: AI may take over entry-level tasks, but companies still need people to grow into future leaders. One thing is clear: people who use AI will have an advantage over those who don't. We also dig into why the trades may boom as AI maxes out what white-collar work needs and demand increases for trades. We cover how AI is reshaping education, why universities will be slow to adapt, and w
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