Tobias Macey
Tobias Macey
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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/)
Переглядів: 23

Відео

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The Evolution of DataOps: Insights from DataKitchen's CEO
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Summary In this episode of the Data Engineering Podcast, host Tobias Macey welcomes back Chris Berg, CEO of DataKitchen, to discuss his ongoing mission to simplify the lives of data engineers. Chris explains the challenges faced by data engineers, such as constant system failures, the need for rapid changes, and high customer demands. Chris delves into the concept of DataOps, its evolution, and...
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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Barking Up The Wrong GPTree: Building Better AI With A Cognitive Approach
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Build Your Second Brain One Piece At A Time
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Summary Generative AI promises to accelerate the productivity of human collaborators. Currently the primary way of working with these tools is through a conversational prompt, which is often cumbersome and unwieldy. In order to simplify the integration of AI capabilities into developer workflows Tsavo Knott helped create Pieces, a powerful collection of tools that complements the tools that dev...
How Generative AI Is Impacting Data Engineering Teams
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Summary Generative AI has rapidly gained adoption for numerous use cases. To support those applications, organizational data platforms need to add new features and data teams have increased responsibility. In this episode Lior Gavish, co-founder of Monte Carlo, discusses the various ways that data teams are evolving to support AI powered features and how they are incorporating AI into their wor...
The Role of Product Managers in Data-Centric Organizations
Переглядів 202Місяць тому
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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Improve Data Quality Through Engineering Rigor And Business Engagement With Synq
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Summary This episode features an insightful conversation with Petr Janda, the CEO and founder of Synq. Petr shares his journey from being an engineer to founding Synq, emphasizing the importance of treating data systems with the same rigor as engineering systems. He discusses the challenges and solutions in data reliability, including the need for transparency and ownership in data systems. Syn...
Stitching Together Enterprise Analytics With Microsoft Fabric
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Summary Data lakehouse architectures have been gaining significant adoption. To accelerate adoption in the enterprise Microsoft has created the Fabric platform, based on their OneLake architecture. In this episode Dipti Borkar shares her experiences working on the product team at Fabric and explains the various use cases for the Fabric service. Announcements • Hello and welcome to the Data Engi...
Being Data Driven At Stripe With Trino And Iceberg
Переглядів 1992 місяці тому
Summary Stripe is a company that relies on data to power their products and business. To support that functionality they have invested in Trino and Iceberg for their analytical workloads. In this episode Kevin Liu shares some of the interesting features that they have built by combining those technologies, as well as the challenges that they face in supporting the myriad workloads that are thro...
X-Ray Vision For Your Flink Stream Processing With Datorios
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Summary Streaming data processing enables new categories of data products and analytics. Unfortunately, reasoning about stream processing engines is complex and lacks sufficient tooling. To address this shortcoming Datorios created an observability platform for Flink that brings visibility to the internals of this popular stream processing system. In this episode Ronen Korman and Stav Elkayam d...
Practical First Steps In Data Governance For Long Term Success
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Data Migration Strategies For Large Scale Systems
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Reconciling The Data In Your Databases With Datafold
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КОМЕНТАРІ

  • @corycaserta748
    @corycaserta748 3 місяці тому

    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?"

  • @twoshrubs
    @twoshrubs 3 місяці тому

    Brilliant, thank you. I wish there was more content on Evennia on youtube.

  • @mirwox
    @mirwox 3 місяці тому

    Great episode! Great tool! Congrats on your great work. Appreciate it

  • @cyber778
    @cyber778 5 місяців тому

    always nice to learn new stuff, even 5 years later... FWIW - the datetime util is easy to use personally

  • @pratapanurag757
    @pratapanurag757 5 місяців тому

    Why is there no video?

  • @seanflynn6775
    @seanflynn6775 6 місяців тому

    🙄 *Promo sm*

  • @max-mw7lo
    @max-mw7lo 6 місяців тому

    How old is this interview ?

  • @max-mw7lo
    @max-mw7lo 6 місяців тому

    LOVE LBRY FREE SPEECH FOR EVERYONE !!!

  • @patrickjdarrow
    @patrickjdarrow 6 місяців тому

    Awesome tool and discussion!

  • @tobiaspucher9597
    @tobiaspucher9597 7 місяців тому

    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

  • @mgcmsn
    @mgcmsn 8 місяців тому

    Thanks for the pre-commit. It is convenient.

  • @fredrickgardner1369
    @fredrickgardner1369 8 місяців тому

    🙈 *PromoSM*

  • @smyrnian_
    @smyrnian_ 8 місяців тому

    This is old! Adam hasn't worked at IBM for years.

  • @Sumdumdad
    @Sumdumdad 9 місяців тому

    Neat.innit?

  • @BUY_YOUTUBE_VIEWS_d084
    @BUY_YOUTUBE_VIEWS_d084 9 місяців тому

    Believe in yourself and your dreams. With a positive mindset and determination, you can achieve anything you set your mind to.

  • @godrexy4471
    @godrexy4471 Рік тому

    why he sound like that guy telling horror stories?

  • @_______6398
    @_______6398 Рік тому

    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.

  • @pazsion
    @pazsion Рік тому

    Maybe I’ll come back to this after I learn more python. Really cool.

  • @danraine9009
    @danraine9009 Рік тому

    Wow, crazy this only has 24 views considering its the leading technology :o Great video, I'm excited to use these tools.

  • @Andreas-gh6is
    @Andreas-gh6is Рік тому

    Totally underrated project!

  • @leonf.7893
    @leonf.7893 Рік тому

    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.

  • @paulbrugger9610
    @paulbrugger9610 2 роки тому

    Very enlightening for an audio-only presentation. Love the history discussion and excellent questions about Anvil's architecture.

  • @mangelozzi
    @mangelozzi 2 роки тому

    Well done Bogdan Popa, excellant design and piece of software!

  • @mitchelldiehl6770
    @mitchelldiehl6770 2 роки тому

    probably not a bad podcast, but if you are here for code examples or a walkthrough this is not for you

  • @mohanvarde1810
    @mohanvarde1810 3 роки тому

    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

  • @ayushiyadav3991
    @ayushiyadav3991 3 роки тому

    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

  • @sortof3337
    @sortof3337 3 роки тому

    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.

  • @Marcos-tl2vy
    @Marcos-tl2vy 3 роки тому

    Is there a Python driver/API to interact against Red Panda?

    • @tobiasmacey3574
      @tobiasmacey3574 3 роки тому

      It uses the Kafka API so any Kafka client will work with Red Panda.

  • @powerman3067
    @powerman3067 4 роки тому

    Shauar video....... Gua mara kha

  • @climentea
    @climentea 4 роки тому

    just started with fastapi. It's pretty awesome :)

  • @keithcampbell6352
    @keithcampbell6352 4 роки тому

    Keep up the podcasts! They are wonderful. Wishing you the best.

  • @pandemonium7617
    @pandemonium7617 4 роки тому

    pozdro

  • @pandemonium7617
    @pandemonium7617 4 роки тому

    pozdro

  • @pandemonium7617
    @pandemonium7617 4 роки тому

    pozdro

  • @yashvarshney6761
    @yashvarshney6761 4 роки тому

    Sorry to say but this is youtube not spotify

  • @alexezio3352
    @alexezio3352 4 роки тому

    Nice Interview, covery most aspect for pipelinedb

  • @rakumainvestment6756
    @rakumainvestment6756 4 роки тому

    Waste of time

  • @prabhanshurajpoot7419
    @prabhanshurajpoot7419 4 роки тому

    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.

  • @FineFlu
    @FineFlu 4 роки тому

    Ty for doing your podcast!

  • @flipndip5122
    @flipndip5122 4 роки тому

    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

  • @Tracks777
    @Tracks777 4 роки тому

    awesome content

  • @fatihfajral
    @fatihfajral 4 роки тому

    Top

  • @sanazafshari395
    @sanazafshari395 4 роки тому

    Thank you. It was an interesting interview

  • @lilianblack3953
    @lilianblack3953 4 роки тому

    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!!!

  • @sheikhg1900w
    @sheikhg1900w 4 роки тому

    Just audio?

    • @climentea
      @climentea 4 роки тому

      Imagine 3 people talking :)

  • @driziiD
    @driziiD 4 роки тому

    * principles

  • @christophereberhart7487
    @christophereberhart7487 4 роки тому

    this was awesome, thanks for this.

  • @colepearson1882
    @colepearson1882 4 роки тому

    it's a podcast, innit mate?

  • @crisuar1989
    @crisuar1989 5 років тому

    What is the name of the intro track? its amazing!

    • @tobiasmacey3574
      @tobiasmacey3574 5 років тому

      It's called Requiem For A Fish by the Freak Fandango Orchestra. Glad you like it!

  • @XchemicleX
    @XchemicleX 5 років тому

    Nice , good job guys