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S3 E2 — How AI + automation unleash leasing superpowers

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Manage episode 398457396 series 3458421
Content provided by Multifamily Unpacked. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Multifamily Unpacked or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Leverage AI for good. The good of your teams, your management, and your renters.

See how recent advancements in AI, like Chat-GPT, can create optimal renter experiences, give teams a hand, and equitably help renters find their next home from the people who actually build AI every day, and with it, multifamily’s future.

Tune in to hear Jess Groff VP of Product, Mallory Sheibley Product Manager, and James Chryssanthacopoulos Data Scientist share the behind-the-scenes look at how not all products are created equally, how AI models are trained, and how AI will change multifamily.

“The difference in AI and Automation can be seen in the market today in certain chatbots, for example. If you’ve ever interacted with a chatbot where you have to choose and click buttons for predefined options, you’re going down a rule-based click path that falls under the automation umbrella versus actually using an AI model to understand what the input is saying.”

— Mallory Sheibley, AI Product Manager, on what AI isn’t

“Garbage in, garbage out. If you feed the training algorithm garbage it’s going to return to your garbage, and I think if you want to adapt that to this instance it’s bias in, bias out. If your data set is biased, you’re going to get a model that is also biased.”

— James Chryssanthacopoulos Data Scientist, on how bias is perpetuated with AI

If you enjoyed learning more about AI, please join us at The Forum an exclusive multifamily event for believers in a better operating model.

To stay up-to-date follow Funnel on Linkedin and connect with Tyler there, too.

  continue reading

47 episodes

Artwork
iconShare
 
Manage episode 398457396 series 3458421
Content provided by Multifamily Unpacked. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Multifamily Unpacked or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Leverage AI for good. The good of your teams, your management, and your renters.

See how recent advancements in AI, like Chat-GPT, can create optimal renter experiences, give teams a hand, and equitably help renters find their next home from the people who actually build AI every day, and with it, multifamily’s future.

Tune in to hear Jess Groff VP of Product, Mallory Sheibley Product Manager, and James Chryssanthacopoulos Data Scientist share the behind-the-scenes look at how not all products are created equally, how AI models are trained, and how AI will change multifamily.

“The difference in AI and Automation can be seen in the market today in certain chatbots, for example. If you’ve ever interacted with a chatbot where you have to choose and click buttons for predefined options, you’re going down a rule-based click path that falls under the automation umbrella versus actually using an AI model to understand what the input is saying.”

— Mallory Sheibley, AI Product Manager, on what AI isn’t

“Garbage in, garbage out. If you feed the training algorithm garbage it’s going to return to your garbage, and I think if you want to adapt that to this instance it’s bias in, bias out. If your data set is biased, you’re going to get a model that is also biased.”

— James Chryssanthacopoulos Data Scientist, on how bias is perpetuated with AI

If you enjoyed learning more about AI, please join us at The Forum an exclusive multifamily event for believers in a better operating model.

To stay up-to-date follow Funnel on Linkedin and connect with Tyler there, too.

  continue reading

47 episodes

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