
Practical AI

Overview
Practical AI is a podcast dedicated to demystifying artificial intelligence, machine learning, and related advanced technologies for a broad audience, including tech professionals, business leaders, and enthusiasts. Hosts Chris Benson and Daniel Whitenack, along with expert guests, engage in lively discussions that bridge the gap between theoretical AI concepts and their real-world, productive applications. The show consistently explores cutting-edge topics like document understanding, autonomous swarming, robotics, and high-performance edge computing with Rust, always emphasizing practical implementation and accessibility. It stands out by focusing on how AI can be applied in tangible scenarios, from enterprise solutions to home automation, often highlighting open-source tools and small AI models. This podcast is ideal for listeners seeking to understand the latest AI advancements and their practical implications, fostering a hands-on, grounded perspective on a rapidly evolving field.
Show Impressions
Estimates only, not verified by show
Est. Podcast Downloads
3,960
Demographics
Location
Fans by country:
Age Distribution
18-24
12.0%
25-34
28.0%
35-44
26.0%
45-54
18.0%
55-64
11.0%
65-99
5.0%
Income Brackets
$50k-60k
13.0%
$60k-70k
12.0%
$40k-50k
11.0%
$70k-80k
11.0%
$80k-90k
10.0%
$30k-40k
9.0%
$90k-100k
9.0%
$100k-150k
8.0%
$20k-30k
7.0%
$10k-20k
4.0%
$150k-200k
4.0%
$200k-1000k
2.0%
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Top Advertisers
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Recent Episodes
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