Khalifeh Al Jadda's guest appearances

Khalifeh Al Jadda

AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science

Data Science Perspectives

Tom Davenport

Ron Schmelzer

Kathleen Walch

Catherine Havasi

Data Futurology

Felipe Flores

Elliot Smith

Scott Taylor

Siraj Raval

Anne Robinson

Andrew Bastawrous

James Spencer

Mona Siddiqui

Naveen Rao

Eric Schmidt

OwlTail

A discussion with Khalifeh Al Jadda, the Director of Data Science at The Home Depot and founder of the Southern Data Science Conference #analytics #datascience #leadership #machinelearning #ai #artificialintelligence #TheHomeDepot #HomeDepot

A discussion with Khalifeh Al Jadda, the Director of Data Science at The Home Depot and founder of the Southern Data Science Conference <a href="https://www.youtube.com/hashtag/analytics" rel="nofollow" target="_blank">#analytics</a> <a href="https://www.youtube.com/hashtag/datascience" rel="nofollow" target="_blank">#datascience</a> <a href="https://www.youtube.com/hashtag/leadership" rel="nofollow" target="_blank">#leadership</a> <a href="https://www.youtube.com/hashtag/machinelearning" rel="nofollow" target="_blank">#machinelearning</a> <a href="https://www.youtube.com/hashtag/ai" rel="nofollow" target="_blank">#ai</a> <a href="https://www.youtube.com/hashtag/artificialintelligence" rel="nofollow" target="_blank">#artificialintelligence</a> <a href="https://www.youtube.com/hashtag/thehomedepot" rel="nofollow" target="_blank">#TheHomeDepot</a> <a href="https://www.youtube.com/hashtag/homedepot" rel="nofollow" target="_blank">#HomeDepot</a>

 Season 1, Episode 5 - Khalifeh Al Jadda, Director of Data Science, The Home Depot

Retailers are turning to artificial intelligence and data science to help solve challenging E-commerce problems. From product recommendation systems to logistics and supply management, AI is helping in a variety of ways. In this AI Today podcast episode we interview Khalifeh Al Jadda, Director of Core Data Science at The Home Depot. He shares with …   AI Today Podcast: How AI is Transforming E-Commerce: Interview with Khalifeh Al Jadda, Director of Core Data Science at The Home Depot Read More » The post AI Today Podcast: How AI is Transforming E-Commerce: Interview with Khalifeh Al Jadda, Director of Core Data Science at The Home Depot appeared first on AI &amp; Data Today.

Retailers are turning to artificial intelligence and data science to help solve challenging E-commerce problems. From product recommendation systems to logistics and supply management, AI is helping in a variety of ways. In this AI Today podcast episode we interview Khalifeh Al Jadda, Director of Core Data Science at The Home Depot. He shares with … <a href="https://www.aidatatoday.com/ai-today-podcast-how-ai-is-transforming-e-commerce-interview-with-khalifeh-al-jadda-director-of-core-data-science-at-the-home-depot/" rel="nofollow" target="_blank"> AI Today Podcast: How AI is Transforming E-Commerce: Interview with Khalifeh Al Jadda, Director of Core Data Science at The Home Depot Read More »</a> The post <a href="https://www.aidatatoday.com/ai-today-podcast-how-ai-is-transforming-e-commerce-interview-with-khalifeh-al-jadda-director-of-core-data-science-at-the-home-depot/" rel="nofollow" target="_blank">AI Today Podcast: How AI is Transforming E-Commerce: Interview with Khalifeh Al Jadda, Director of Core Data Science at The Home Depot</a> appeared first on <a href="https://www.aidatatoday.com" rel="nofollow" target="_blank">AI &amp; Data Today</a>.

AI Today Podcast: How AI is Transforming E-Commerce: Interview with Khalifeh Al Jadda, Director of Core Data Science at The Home Depot

We have Khalifeh Al Jadda, Director of Data Science at Home Depot. Khalifeh has solid knowledge in large scale machine learning and data mining techniques. He tells us how in retail some businesses are still running manually, without the use of automation tools, so the job of data science leaders is to educate business partners and show them by example and with data the value that data science and artificial intelligence can deliver to their organizations. Later on, he explains their workflow is managed by product managers and starts with the data scientist taking the responsibility of building the machine learning model, training the model, validating it and even going all the way towards testing it. Then, machine learning engineers take over and scale up the code, they clean it, perform unit testing and do everything needed for it to be ready for production. Quotes:  "I started my journey in the industry from that point, which was the first internship I got in 2015. That’s the first advice I give to anyone, if you are in graduate school, if you are a student, make sure to pursue an internship before graduation. It’ll make your life much easier after graduation."  "It’s been an interesting journey, a great journey. I hope that everyone actually goes through those challenges in their careers, because  it makes you a better and stronger data scientist."  "You cannot build a team with only computer vision people, or a team with just statistical people. You need to bring people from different backgrounds. That’s what my organization includes. It includes people from all backgrounds."  Read the full episode summary here: Episode #135 Enjoy the show!  ---   Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message

We have Khalifeh Al Jadda, Director of Data Science at Home Depot. Khalifeh has solid knowledge in large scale machine learning and data mining techniques. He tells us how in retail some businesses are still running manually, without the use of automation tools, so the job of data science leaders is to educate business partners and show them by example and with data the value that data science and artificial intelligence can deliver to their organizations. Later on, he explains their workflow is managed by product managers and starts with the data scientist taking the responsibility of building the machine learning model, training the model, validating it and even going all the way towards testing it. Then, machine learning engineers take over and scale up the code, they clean it, perform unit testing and do everything needed for it to be ready for production. Quotes: <ul> <li>"I started my journey in the industry from that point, which was the first internship I got in 2015. That’s the first advice I give to anyone, if you are in graduate school, if you are a student, make sure to pursue an internship before graduation. It’ll make your life much easier after graduation." </li> <li>"It’s been an interesting journey, a great journey. I hope that everyone actually goes through those challenges in their careers, because  it makes you a better and stronger data scientist." </li> <li>"You cannot build a team with only computer vision people, or a team with just statistical people. You need to bring people from different backgrounds. That’s what my organization includes. It includes people from all backgrounds."</li> </ul> Read the full episode summary here: <a href="//www.datafuturology.com/podcast/2020/9/15/135-how-ai-is-transforming-retail-with-khalifeh-al-jadda-director-of-data-science" rel="nofollow" target="_blank">Episode #135</a> Enjoy the show! --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/datafuturology/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/datafuturology/message</a>

#135 How AI is Transforming Retail  with Khalifeh Al Jadda - Director of Data Science