Auto Care ON AIR
A dashboard used to be a project. Now it can be a conversation. Host Mike Chung sits down with Arthur Lee, founder of Fyne and a longtime data and business intelligence practitioner, to show what modern AI analytics looks like when large language models and AI agents move from hype to real workflows. Arthur shares how companies are using LLMs to boost productivity, automate repeatable reporting, and turn unstructured text like sales call transcripts into usable marketing insights and follow-up documents that no one has to write by hand. Then they get concrete: Arthur walks through a demo mindset using public NHTSA recall data, explaining how an AI coding agent can pull large datasets, shape them into charts and summaries, and produce a clean, stakeholder-ready dashboard in under an hour. They also unpack the “progression path” from ad hoc ChatGPT questions on smaller files to standardized templates using projects or custom GPTs, complete with citations and exportable reports. If you’ve been wondering how to operationalize AI without becoming a programmer, this is the bridge. They also get honest about the hard parts: governance, privacy, security, and the trust problem. AI is powerful, but it is not a mind reader, and it does not arrive with your domain knowledge. Their best advice is simple and practical: treat AI like the smartest intern you’ve ever hired, give it context, and always verify outputs before you scale. If this sparked ideas for your team or your own life, subscribe, share the episode with a colleague, and leave a rating and review so more listeners can find the show. Send us Fan Mail [https://www.buzzsprout.com/2355351/fan_mail/new] To learn more about the Auto Care Association visit autocare.org. To learn more about our show and suggest future topics and guests, visit autocare.org/podcast
114 episodios
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