Skip to content
Decoding AI: Exploring it's Everyday Applications episode artwork

EPISODE · Sep 5, 2023 · 29 MIN

Decoding AI: Exploring it's Everyday Applications

from Signals Podcast Network · host Scott Logan, James Gilbert

Scott Logan, CMO at Kroologic, and James Gilbert, CMO at Flip, recognize that there is so much AI that surrounds us in our everyday lives. These speakers from the AI Revenue Summit breaks out machine learning tools, differences between ai and generative ai, LLM's and ML's. To stay current on our latest events, follow us on Linkedin. Useful Timestamps: 2:35 - Alexa and Siri are forms of AI 4:45 - Alexa sends reminders automatically 5:31 - There are more forms of generative AI. Examples given 10:01 - LLM is a large language model; ChatGPT 13:03 - A lot of new AI tools you have to figure new things out. 18:31 - ChatGPT makes us more efficient 22:30 - Bias: Whatever you train AI on, that is what it's going to learn 22:55 - Privacy: use of PII data may be governed a lot more than it has in the past 23:41 - Accountability: who’s responsible when AI makes a mistake 24:12 - Transparency: ai decision can be understood by humans 28:24 - Concluding Remarks

Episode metadata supplied by the publisher feed · Published Sep 5, 2023

Embed this episode

Join Scott and James as they address questions like: What are some everyday machine learning tools that we use? Is there a difference between AI and generative AI? Are there specific areas that we should be addressing regarding challenges of AI? And more!

Distinct summary based on available episode metadata or transcript content.

Ready to play

Decoding AI: Exploring it's Everyday Applications

0:00 29:20

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

Frequently Asked Questions

How long is this episode of Signals Podcast Network?

This episode is 29 minutes long.

When was this Signals Podcast Network episode published?

This episode was published on September 5, 2023.

Can I download this Signals Podcast Network episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!