Jar(gone)

A podcast bringing clarity to commonly misunderstood business jargon.

Jar(gone) is a business podcast hosted by Trenegy, with 51 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Trenegy hosts Jar(gone), a business show with 51 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Jar(gone)

  Do You Need Clean Data Before AI?

  Sep 1, 202618 min

  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).

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  Jar(gone)

  The AI Shake Up: Reviving the Trades, Rethinking Education, and the Future of Work

  Jul 14, 202625 min

  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 what people can do to stay ahead.

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  Jar(gone)

  The Missing ROI of AI (and How to Fix It)

  May 28, 202619 min

  Millions in, and most companies are still running exactly the way they did before AI showed up. Why aren’t they seeing return? AI's efficiency gains are being swallowed up by three big problems: endless meetings, too many management layers, and lengthy approvals. AI isn't delivering ROI at big companies because the organizations themselves haven't changed to take advantage of it. In this episode, Bill Aimone and Katy Wyrick talk about how leaders can redesign how work gets done to really capture value from AI and see returns.

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  Jar(gone)

  The Fastest Way to Get Value From AI Right Now

  Mar 23, 202615 min

  Feeling the pressure to "do something with AI" before the competition gets ahead? A lot of business leaders are in this boat. Getting started doesn't require a massive AI transformation project, a big budget, or months of approvals. In this episode, we break down how starting small with the tools you already have access to is often the smartest move, and practical ways you can begin adding real value with AI right now, in whatever project or task you're working on.

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  Jar(gone)

  When Is An Organization Really Ready for AI?

  Aug 8, 202516 minS0

  <p>In this episode, Todd Boutte and Landon Guyton share how we help organizations evaluate if and when they’re ready for AI at an organizational or enterprise level. This includes technology readiness, foundational resources, people/culture, and budgeting resources for AI. They also discuss common pitfalls around AI, handling skepticism, and why strategy must come first.</p>

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