Podcast

LLMs & AI + Meet the Surprising Influencers Shaping the Products You Love! 💡Data Science Findings with Bob Rapp from Envorso

Chad Kaleky
July 29, 2023
35
MIN
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Podcast
July 29, 2023
35
MIN

LLMs & AI + Meet the Surprising Influencers Shaping the Products You Love! 💡Data Science Findings with Bob Rapp from Envorso

In this episode 136 of "Failing to Success", Bob Rapp, principal AI architect at Envorso, discusses his experiences in data science and customer experience. He shares insights from his time at Microsoft, where he worked on addressing customer dissatisfaction with products and reducing the high return rate of mobile devices. Through data analysis, they identified the five key features customers desired in a phone. Bob emphasizes the surprising influence of professionals like plumbers and doctors in recommending products within their micro-communities. He also discusses the capabilities and limitations of large language models like GPT, which predict the next word but lack deeper insights and creativity. Bob concludes by highlighting his current work at Envorso, where he collaborates with software and automotive experts to enhance user experiences and transform auto companies into software-driven entities.

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💡 Customers were unhappy with products, leading to the establishment of the Customer and Partner Experience Team to address issues and gather data.

💡 Analyzing data helped reduce the return rate of mobile devices from 80% to 20% by understanding customer needs and making practical changes.

💡 Data science revealed the five key things customers wanted in a phone: making calls, stability, battery life, email access, and calendar management.

💡 Influencers for product recommendations are not limited to famous individuals but can include professionals in specific micro-communities, like plumbers and doctors.

💡 Large language models, such as GPT, predict the next word or pattern of words, providing convenience but lacking insight and creativity.


In this episode 136 of "Failing to Success", Bob Rapp, principal AI architect at Envorso, discusses his experiences in data science and customer experience. He shares insights from his time at Microsoft, where he worked on addressing customer dissatisfaction with products and reducing the high return rate of mobile devices. Through data analysis, they identified the five key features customers desired in a phone. Bob emphasizes the surprising influence of professionals like plumbers and doctors in recommending products within their micro-communities. He also discusses the capabilities and limitations of large language models like GPT, which predict the next word but lack deeper insights and creativity. Bob concludes by highlighting his current work at Envorso, where he collaborates with software and automotive experts to enhance user experiences and transform auto companies into software-driven entities.

Website links:

Bob Rapp from Envorso: https://envorso.com/

Chad Kaleky from Cosmic Design: https://www.cosmicdesign.io/

Timestamps:

00:00:00 Intro

00:00:04 When Microsoft Came Calling

00:02:28 Building the First Android Phones with Samsung

00:05:00 Redefining "Influencer"

00:06:40 LLMs (Large Language Models)

00:10:19 Favorite AI Tools

00:15:00 What is Envorso?

00:16:51 Tesla and the Ford F150 Lightning

00:19:12 Contact Bob

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Episode Transcript

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

Chad Kaleky
Co-Founder @ Cosmic Design & Development

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LLMs & AI + Meet the Surprising Influencers Shaping the Products You Love! 💡Data Science Findings with Bob Rapp from Envorso

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In this episode 136 of "Failing to Success", Bob Rapp, principal AI architect at Envorso, discusses his experiences in data science and customer experience. He shares insights from his time at Microsoft, where he worked on addressing customer dissatisfaction with products and reducing the high return rate of mobile devices. Through data analysis, they identified the five key features customers desired in a phone. Bob emphasizes the surprising influence of professionals like plumbers and doctors in recommending products within their micro-communities. He also discusses the capabilities and limitations of large language models like GPT, which predict the next word but lack deeper insights and creativity. Bob concludes by highlighting his current work at Envorso, where he collaborates with software and automotive experts to enhance user experiences and transform auto companies into software-driven entities.

Chad Kaleky
Chad Kaleky
Facebook logoLinkedIn logoTwitter logoEmail link

LLMs & AI + Meet the Surprising Influencers Shaping the Products You Love! 💡Data Science Findings with Bob Rapp from Envorso

💡 Customers were unhappy with products, leading to the establishment of the Customer and Partner Experience Team to address issues and gather data.

💡 Analyzing data helped reduce the return rate of mobile devices from 80% to 20% by understanding customer needs and making practical changes.

💡 Data science revealed the five key things customers wanted in a phone: making calls, stability, battery life, email access, and calendar management.

💡 Influencers for product recommendations are not limited to famous individuals but can include professionals in specific micro-communities, like plumbers and doctors.

💡 Large language models, such as GPT, predict the next word or pattern of words, providing convenience but lacking insight and creativity.


In this episode 136 of "Failing to Success", Bob Rapp, principal AI architect at Envorso, discusses his experiences in data science and customer experience. He shares insights from his time at Microsoft, where he worked on addressing customer dissatisfaction with products and reducing the high return rate of mobile devices. Through data analysis, they identified the five key features customers desired in a phone. Bob emphasizes the surprising influence of professionals like plumbers and doctors in recommending products within their micro-communities. He also discusses the capabilities and limitations of large language models like GPT, which predict the next word but lack deeper insights and creativity. Bob concludes by highlighting his current work at Envorso, where he collaborates with software and automotive experts to enhance user experiences and transform auto companies into software-driven entities.

Website links:

Bob Rapp from Envorso: https://envorso.com/

Chad Kaleky from Cosmic Design: https://www.cosmicdesign.io/

Timestamps:

00:00:00 Intro

00:00:04 When Microsoft Came Calling

00:02:28 Building the First Android Phones with Samsung

00:05:00 Redefining "Influencer"

00:06:40 LLMs (Large Language Models)

00:10:19 Favorite AI Tools

00:15:00 What is Envorso?

00:16:51 Tesla and the Ford F150 Lightning

00:19:12 Contact Bob

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