• Data Malarkey - the podcast about using data smarter

  • Auteur(s): Sam Knowles
  • Podcast

Data Malarkey - the podcast about using data smarter

Auteur(s): Sam Knowles
  • Résumé

  • The Data Malarkey podcast – and it’s audio-visual twin, the Data Malarkey Show on YouTube – a must-listen, must-watch resource of brilliant data storytelling. If only there were more people in the world with the pragmatic approach taken by my guests, well, there’d be rather less data malarkey about.
    ©2024
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Épisodes
  • From CERN to Ad Regulation: How AI & Data Science Are Changing Advertising | Adam Davidson
    Feb 19 2025
    Check out our Data Storytelling scorecard: https://data-storytelling.scoreapp.com In this episode of the podcast, Master Data Storyteller Sam Knowles sits down with Adam Davidson, Head of Data Science at the Advertising Standards Authority (ASA). Adam shares his fascinating journey from CERN’s Large Hadron Collider, where he contributed to the search for the Higgs boson, to leading data-driven efforts in advertising regulation. 💡 What You'll Learn in This Episode: How Adam transitioned from physics to advertising regulation, with the constant drumbeat of data science The role of AI and machine learning in monitoring online ads Why data storytelling is critical for bridging the gap between data teams and leadership How the ASA is tackling fraudulent ads and influencer marketing transparency The future of real-time ad monitoring and automation Ethical concerns around the misuse of data in advertising If you've ever wondered how AI is shaping the future of digital advertising and how regulators are keeping up, this episode is for you! 🎧 Listen now and discover how AI, data science, and machine learning are transforming the ad industry! Episode Chapters & Timestamps 00:00 - Introduction: Meet Adam Davidson 01:27 - From CERN to Data Science in Advertising 04:32 - Bridging the Gap Between Data Science & Leadership 09:14 - The AI-Powered Ad Monitoring System 14:38 - Regulating the "Wild West" of Online Ads 18:12 - The Challenge of Influencer Marketing & Hidden Ads 25:30 - AI & Automation: Real-Time Ad Monitoring 32:02 - How AI in Advertising is Evolving 39:45 - Misuse of Data: The Dark Side of AI 45:36 - Final Thoughts & Where to Follow Adam Guest Bio: Adam Davidson Adam Davidson is the Head of Data Science at the Advertising Standards Authority (ASA), where he leads efforts to monitor and regulate digital advertising using AI and machine learning. His career started in particle physics at CERN, where he was involved in the discovery of the Higgs boson. Adam later transitioned to data science roles at Qubit and The Economist, before joining the ASA in 2021. Now, he’s using data and AI to bring accountability to online advertising, leading a seven-strong team of data scientists at the ASA who are ensuring that brands comply with regulations, legislation, and ethical marketing standards. 🔗 Follow Adam Davidson on LinkedIn https://www.linkedin.com/in/adam-davison-a5624815/ 🔗 The Advertising Standards Authority https://www.asa.org.uk Key Takeaways & Quotes from This Episode 🧠 On Data Storytelling: "Data science is useless if leaders don’t understand it. Storytelling bridges that gap.” – Adam Davidson 🤖 On AI in Advertising Regulation: "We built an AI system that actively monitors ads in real time – catching fraudulent content before it spreads.” ⚖️ On Ethical Advertising: "Influencer marketing needs more transparency. Consumers deserve to know when they’re being sold to.” 🚀 On the Future of AI & Automation: "Machine learning in advertising isn’t new. What’s new is the scale at which we can use it for good.” Resources & Links 🔗 Adam on BBC2’s Horizon, “The Hunt for the Higgs Boson” – www.dailymotion.com/video/x621wqk 🔗 Profile on Adam in Marketing | Beat – https://www.marketing-beat.co.uk/2024/04/11/asa-harnessing-ai-technology/ 🔗 “Using AI to monitor the promotion of prescription-only medicines” by Adam Davison, ASA blog, 09.11.23 – https://www.asa.org.uk/news/using-ai-to-monitor-the-promotion-of-prescription-only-medicines.html 🔗 “Our Active Ad Monitoring system” by Adam Davison, ASA blog, 14.07.23 – https://www.asa.org.uk/news/our-active-ad-monitoring-system.html 🔗 “How data science is changing ad regulation” by Adam Davison, ASA blog, 17.11.22 – https://www.asa.org.uk/news/how-data-science-is-changing-ad-regulation.html Support & Connect 💬 Enjoyed this episode? Let us know! Leave a review on Apple Podcasts or Spotify. 📢 Share this episode with colleagues in marketing, advertising, or data science. 🔔 Follow the podcast for more deep dives into AI, ethics, and advertising! 🎙 Subscribe on Apple Podcasts (https://bit.ly/3YIh7I7), Spotify (https://bit.ly/3JafOfg), and our YouTube channel https://youtube.com/@datamalarkey
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    48 min
  • How can we build an AI future which respects ethics and data privacy? With Professor Sylvie Delacroix, Centre for Data Futures, King’s College London
    Feb 5 2025

    In this thought-provoking episode of the Data Malarkey Podcast, master data storyteller Sam Knowles sits down with Sylvie Delacroix, the inaugural Jeff Price Chair in Digital Law in the Dickson Poon School of Law at King’s College London. Sylvie shares her insights into data ethics, the vulnerabilities we face in a data-driven world, and the transformative potential of generative AI. She also introduces the Centre for Data Futures, her initiative to build participatory data infrastructure that empowers individuals and communities. This is a conversation about ethics, identity, and the future of AI that you won’t want to miss.

    What you'll learn in this episode:

    • The hidden vulnerabilities of our daily data leaks.

    • How AI can both limit and empower personal reinvention.

    • Why participatory infrastructure is essential for ethical AI development.

    • The concept of ‘humility markers’ in AI and their potential to transform conversations.

    • How Sylvie’s work bridges the gap between theory and practice in digital law and data ethics.

    Chapters:
    00:00 - Introduction
    01:27 - Sylvie Delacroix’s journey and research focus
    07:43 - The vulnerability of self in the data-driven age
    13:53 - Building participatory data infrastructures
    20:02 - Rethinking AI and conversational models
    30:36 - The importance of humility markers in AI
    39:07 - The future of ethical AI: aspirations and hopes

    About our guest:
    Sylvie Delacroix is a leading expert in digital law and ethics. As the Jeff Price Chair in Digital Law at King’s College London, Professor Delacroix directs the Centre for Data Futures, focusing on participatory data infrastructure and ethical governance of AI. Her work on data trusts and habitual ethics has shaped policy initiatives worldwide. To learn more about her work, visit https://delacroix.uk

    Resources mentioned:

    • Sylvie Delacroix’s home page https://delacroix.uk

    • The Center for Data Futures https://www.kcl.ac.uk/research/centre-for-data-futures

    • The Dickson Poon School of Law at King’s College, London https://www.kcl.ac.uk/law

    • Sylvie’s book, Habitual Ethics?, available via Bloomsbury (open-access) https://www.bloomsburycollections.com/monograph?docid=b-9781509920440

    • Sam Knowles’ book, Asking Smarter Questions: How to be an Agent of Insight https://asksmarterqs.com

    • Find Out What Kind of Data Storyteller you are: https://data-storytelling.scoreapp.com/

    Join the conversation:

    • Take the Data Storytelling Scorecard: https://data-storytelling.scoreapp.com

    • Follow the podcast for more insightful conversations on data and AI

    Connect with us:

    • Sylvie Delacroix: King’s College London Profile, LinkedIn profile

    • Sam Knowles: https://www.linkedin.com/in/samknowlesdatastory

    Rate, review, follow, and share!
    If you enjoyed this episode, please take a moment to rate and review us on Apple Podcasts or Spotify. Don’t forget to follow the show so you never miss an update!

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    53 min
  • The Smartest Data Moments from Season 6
    Dec 18 2024

    In this special wrap-up episode of Data Malarkey, host and Master Data Storyteller, Sam Knowles, takes us through the standout moments from Season 6 of the podcast. From neuroscience-driven storytelling to data privacy law, this compilation showcases some of the smartest and most impactful ways people are using data to improve communication, branding, and societal outcomes. Featuring insights from a diverse lineup of experts, this episode is packed with lessons and strategies for anyone curious about making data work smarter.

    Key Highlights:

    • The Neuroscience of Marketing (00:02:10): Cristina de Balanzo discusses how to avoid the pitfalls of “neurobollocks” in neuroscience-driven market research.

    • Data-Backed Simplicity in Storytelling (00:07:02): Natalia Talkowska explains how neuroscience and behavioural science enhance storytelling effectiveness in data-heavy communication.

    • Breaking the Curse of Knowledge (00:12:26): Mike Ellicock shares tips for simplifying data communication, especially in utilities and financial services.

    • GDPR: A Force for Good (00:18:09): Alice Wallbank defends the GDPR and unpacks its hidden benefits and costs.

    • Levelling the Playing Field for Women Scientists (00:27:22): Ylann Schemm highlights how Elsevier uses data to advance inclusive research and health.

    • The Science Behind Accurate Exit Polls (00:34:05): Professor Sir John Curtice reveals how academic methods have transformed election night predictions.

    • Barbarians Rugby’s Data-Driven Rebrand (00:42:00): Branding guru Bill Wallsgrove showcases how data informed a fresh, digital-first identity for the iconic club.

    External Links:

    • Using Data Smarter guest application form: Submit a Guest

    • Follow Sam Knowles on LinkedIn: Sam Knowles

    • Catch full episodes and video content on YouTube: Data Malarkey YouTube Channel

    Subscribe and Stay Connected:
    New episodes drop every other Wednesday on Apple Podcasts, Spotify, and YouTube Music. Don’t forget to subscribe and leave a review!

    To find out what kind of data storyteller you are, complete our data storytelling scorecard at https://data-storytelling.scoreapp.com. It takes just two minutes, and we’ll send you your own personalised scorecard.

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    51 min

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