![Tobias Macey](/img/default-banner.jpg)
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Tobias Macey
United States
Приєднався 22 тра 2014
Harnessing Generative AI for Effective Digital Advertising Campaigns
Summary
In this episode of the AI Engineering podcast Praveen Gujar, Director of Product at LinkedIn, talks about the applications of generative AI in digital advertising. He highlights the key areas of digital advertising, including audience targeting, content creation, and ROI measurement, and delves into how generative AI is revolutionizing these aspects. Praveen shares successful case studies of generative AI in digital advertising, including campaigns by Heinz, the Barbie movie, and Maggi, and discusses the potential pitfalls and risks associated with AI-powered tools. He concludes with insights into the future of generative AI in digital advertising, highlighting the importance of cultural transformation and the synergy between human creativity and AI.
Announcements
• Hello and welcome to the AI Engineering Podcast, your guide to the fast-moving world of building scalable and maintainable AI systems
• Your host is Tobias Macey and today I'm interviewing Praveen Gujar about the applications of generative AI in digital advertisingInterview
• Introduction
• How did you get involved in machine learning?
• Can you start by defining "digital advertising" for the scope of this conversation?
• What are the key elements/characteristics/goals of digital avertising?
• In the world before generative AI, what did a typical end-to-end advertising campaign workflow look like?
• What are the stages of that workflow where generative AI are proving to be most useful?
• How do the current limitations of generative AI (e.g. hallucinations, non-determinism) impact the ways in which they can be used?
• What are the technological and organizational systems that need to be implemented to effectively apply generative AI in public-facing applications that are so closely tied to brand/company image?
• What are the elements of user education/expectation setting that are necessary when working with marketing/advertising personnel to help avoid damage to the brands?
• What are some examples of applications for generative AI in digital advertising that have gone well?
• Any that have gone wrong?
• What are the most interesting, innovative, or unexpected ways that you have seen generative AI used in digital advertising?
• What are the most interesting, unexpected, or challenging lessons that you have learned while working on digital advertising applications of generative AI?
• When is generative AI the wrong choice?
• What are your future predictions for the use of generative AI in dgital advertising?Contact Info
• Website (www.praveengujar.com/)
• LinkedIn (www.linkedin.com/in/praveengujar/) Parting Question
• From your perspective, what is the biggest barrier to adoption of machine learning today?Closing Announcements
• Thank you for listening! Don't forget to check out our other shows. The Data Engineering Podcast (www.dataengineeringpodcast.com) covers the latest on modern data management. Podcast.__init__ (www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used.
• Visit the site (www.aiengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes.
• If you've learned something or tried out a project from the show then tell us about it! Email hosts@aiengineeringpodcast.com with your story.
• To help other people find the show please leave a review on iTunes (podcasts.apple.com/us/podcast/the-machine-learning-podcast/id1626358243) and tell your friends and co-workers.Links
• Generative AI (generativeai.net/)
• LLM == Large Language Model (en.wikipedia.org/wiki/Large_language_model)
• Dall-E (openai.com/index/dall-e/) )
• RLHF == Reinforcement Learning fHuman Feedback (en.wikipedia.org/wiki/Reinforcement_learning_from_human_feedback) The intro and outro music is from Hitman's Lovesong feat. Paola Graziano (freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Tales_Of_A_Dead_Fish/Hitmans_Lovesong/) by The Freak Fandango Orchestra (freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) /CC BY-SA 3.0 (creativecommons.org/licenses/by-sa/3.0/)
In this episode of the AI Engineering podcast Praveen Gujar, Director of Product at LinkedIn, talks about the applications of generative AI in digital advertising. He highlights the key areas of digital advertising, including audience targeting, content creation, and ROI measurement, and delves into how generative AI is revolutionizing these aspects. Praveen shares successful case studies of generative AI in digital advertising, including campaigns by Heinz, the Barbie movie, and Maggi, and discusses the potential pitfalls and risks associated with AI-powered tools. He concludes with insights into the future of generative AI in digital advertising, highlighting the importance of cultural transformation and the synergy between human creativity and AI.
Announcements
• Hello and welcome to the AI Engineering Podcast, your guide to the fast-moving world of building scalable and maintainable AI systems
• Your host is Tobias Macey and today I'm interviewing Praveen Gujar about the applications of generative AI in digital advertisingInterview
• Introduction
• How did you get involved in machine learning?
• Can you start by defining "digital advertising" for the scope of this conversation?
• What are the key elements/characteristics/goals of digital avertising?
• In the world before generative AI, what did a typical end-to-end advertising campaign workflow look like?
• What are the stages of that workflow where generative AI are proving to be most useful?
• How do the current limitations of generative AI (e.g. hallucinations, non-determinism) impact the ways in which they can be used?
• What are the technological and organizational systems that need to be implemented to effectively apply generative AI in public-facing applications that are so closely tied to brand/company image?
• What are the elements of user education/expectation setting that are necessary when working with marketing/advertising personnel to help avoid damage to the brands?
• What are some examples of applications for generative AI in digital advertising that have gone well?
• Any that have gone wrong?
• What are the most interesting, innovative, or unexpected ways that you have seen generative AI used in digital advertising?
• What are the most interesting, unexpected, or challenging lessons that you have learned while working on digital advertising applications of generative AI?
• When is generative AI the wrong choice?
• What are your future predictions for the use of generative AI in dgital advertising?Contact Info
• Website (www.praveengujar.com/)
• LinkedIn (www.linkedin.com/in/praveengujar/) Parting Question
• From your perspective, what is the biggest barrier to adoption of machine learning today?Closing Announcements
• Thank you for listening! Don't forget to check out our other shows. The Data Engineering Podcast (www.dataengineeringpodcast.com) covers the latest on modern data management. Podcast.__init__ (www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used.
• Visit the site (www.aiengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes.
• If you've learned something or tried out a project from the show then tell us about it! Email hosts@aiengineeringpodcast.com with your story.
• To help other people find the show please leave a review on iTunes (podcasts.apple.com/us/podcast/the-machine-learning-podcast/id1626358243) and tell your friends and co-workers.Links
• Generative AI (generativeai.net/)
• LLM == Large Language Model (en.wikipedia.org/wiki/Large_language_model)
• Dall-E (openai.com/index/dall-e/) )
• RLHF == Reinforcement Learning fHuman Feedback (en.wikipedia.org/wiki/Reinforcement_learning_from_human_feedback) The intro and outro music is from Hitman's Lovesong feat. Paola Graziano (freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Tales_Of_A_Dead_Fish/Hitmans_Lovesong/) by The Freak Fandango Orchestra (freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) /CC BY-SA 3.0 (creativecommons.org/licenses/by-sa/3.0/)
Переглядів: 23
Відео
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The Evolution of DataOps: Insights from DataKitchen's CEO
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Achieving Data Reliability: The Role of Data Contracts in Modern Data Management
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Expert Insights On Retrieval Augmented Generation And How To Build It
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The Role of Product Managers in Data-Centric Organizations
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Summary In this episode Praveen Gujar, Director of Product at LinkedIn, talks about the intricacies of product management for data and analytical platforms. Praveen shares his journey from Amazon to Twitter and now LinkedIn, highlighting his extensive experience in building data products and platforms, digital advertising, AI, and cloud services. He discusses the evolving role of product manage...
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Why X[Z]onch when the actual creator and the C[K]onsh-shell logo indicate X[K]onsh, and "zeeesh" instead of "Zee-shell" or "Zee-ess-eich?"
Brilliant, thank you. I wish there was more content on Evennia on youtube.
Great episode! Great tool! Congrats on your great work. Appreciate it
always nice to learn new stuff, even 5 years later... FWIW - the datetime util is easy to use personally
Why is there no video?
🙄 *Promo sm*
How old is this interview ?
LOVE LBRY FREE SPEECH FOR EVERYONE !!!
Awesome tool and discussion!
Thank you please continue this series!! awesome stuff, just finished the software lang engineering book by ralf laemmeland i love the use of python here
Thanks for the pre-commit. It is convenient.
🙈 *PromoSM*
This is old! Adam hasn't worked at IBM for years.
Neat.innit?
Believe in yourself and your dreams. With a positive mindset and determination, you can achieve anything you set your mind to.
why he sound like that guy telling horror stories?
It’s really aggravating the way he exaggerates and extends the way he says words. It’s unnatural. He talks like thissss. Always extending the last wordddd. It almost sounds whinnnnyyy.
Maybe I’ll come back to this after I learn more python. Really cool.
Wow, crazy this only has 24 views considering its the leading technology :o Great video, I'm excited to use these tools.
Totally underrated project!
Cool, I just found out about this language after going down the Erlang rabbit hole. It's great that there is so much choice to develop on top of OTP. This guy has done a great job with the language and docs, so I will look forward to playing with it. Since he mentioned Om Next, I would recommend Elm, as it looks like it does something very similar, but is more widely adopted.
Very enlightening for an audio-only presentation. Love the history discussion and excellent questions about Anvil's architecture.
Well done Bogdan Popa, excellant design and piece of software!
probably not a bad podcast, but if you are here for code examples or a walkthrough this is not for you
Kovid Goyal, I find your creation of Calibre very interesting, I am going to use it for creating my first eBook, Taking the clue from your project of Calibre, I am also going to issue a book free & asking the community to add their blog about various sections in the book to enrich the eBook. I am working on a problem about how I can update ebooks frequently & pass notifications to the user regarding the new addition or amendment in the book
Could you please upload another video which has screen share with it. How can we make out what the person is saying when we don't have anything on the screen? Thanks
Very awesome talk. We use pydantic to validate our models. Our project is super complex and uses DDD it helps different developers communicate better because we can validate method output with models. Also, we use it to validate mutation data for our graphql webapi. I love Pydantic and starlette. It makes python modern.
Is there a Python driver/API to interact against Red Panda?
It uses the Kafka API so any Kafka client will work with Red Panda.
Shauar video....... Gua mara kha
just started with fastapi. It's pretty awesome :)
Keep up the podcasts! They are wonderful. Wishing you the best.
pozdro
pozdro
pozdro
Sorry to say but this is youtube not spotify
Nice Interview, covery most aspect for pipelinedb
Waste of time
at 30:00, he mentions an xkcd comic about to identify a species of bird the programmer requires 20 million dollars and team of 5 scientists. Well it has been 2 years and its kind of a miracle that it is now possible to identify species of birds using deep learning and a mid-tier home GPU.
Ty for doing your podcast!
whooa what an amazing idea. A podcast where we talk about code in a tin can with no visuals to accompany anything. It's so useful! /S
awesome content
Top
Thank you. It was an interesting interview
Keep up the great work!!! You need more views. Do you know of zmsocial[.]com? Use it to promote your videos, it will help you grow your channel!!!
Just audio?
Imagine 3 people talking :)
* principles
this was awesome, thanks for this.
it's a podcast, innit mate?
I see what you did there, you sly bastard
What is the name of the intro track? its amazing!
It's called Requiem For A Fish by the Freak Fandango Orchestra. Glad you like it!
Nice , good job guys