• Data Malarkey - the podcast about using data smarter

  • 著者: Sam Knowles
  • ポッドキャスト

Data Malarkey - the podcast about using data smarter

著者: Sam Knowles
  • サマリー

  • 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
    続きを読む 一部表示

あらすじ・解説

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
エピソード
  • Trust, AI, and the Future of Human Connection with Cecilia Dones
    2025/03/05

    In this engaging episode of the Data Malarkey Podcast, Master Data Storyteller and host Sam Knowles welcomes Cecilia Dones, a thought leader in data, AI, and human connection. Ceci explores how technology shapes the way we interact, trust, and build relationships—both online and offline. She shares insights into AI ethics, uncertainty in machine learning, and why trust is the cornerstone of all our digital futures.

    From her work in AI ethics to her philosophy on leadership and adaptability, Ceci provides fresh perspectives on the best ways to navigate the ever-evolving world of artificial intelligence. Tune in for a thought-provoking discussion on data, trust, and what it means to be human in the age of AI.

    What you'll learn in this episode:

    • Why trust in digital interactions is becoming harder to establish

    • The role of AI in shaping human relationships and decision-making

    • How uncertainty in AI responses from LLMs may be an advantage not a weakness

    • The power of adaptability and why labels limit creativity

    • Why leaders need to embrace ambiguity in the AI era

    Chapters:

    00:00 - Introduction
    01:27 - Cecilia Dones on connections and human-centred technology
    07:43 - Why trust in digital spaces is complicated
    13:53 - How AI influences our relationships and decision-making
    20:02 - The challenge of uncertainty in AI models
    30:36 - Leadership, adaptability, and embracing ambiguity
    39:07 - No Labels: Why Ceci avoids definitions and fixed roles
    45:00 - The ethical dilemmas of AI, privacy, and consent
    50:30 - Where Cecilia Dones is sharing her work and insights

    About our guest:

    Cecilia Dones is a data and analytics practitioner-academic, founder of 3 Standard Deviations, with expertise spanning Fortune 500 companies and academia. She specialises in AI applications, technology's impact on human interactions, and bridging data insights across sectors. Currently, she is completing her doctoral studies on interpersonal trust in digital environments. She holds degrees from NYU Stern and Columbia University. She has taught at top business schools and authors the "Authentic Interactions" newsletter on Substack exploring technology, data, authenticity, and trust.

    Resources mentioned:

    • Cecilia Dones’ Substack: Authentic Interactions

    • Ceci’s LinkedIn newsletter “What is a CMO to do with AI?”

    • Data Storytelling Scorecard: data-storytelling.scoreapp.com

    Join the conversation:

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

    • Follow the podcast for more insights on AI, data, and leadership

    Connect with us:

    • Cecilia Dones: LinkedIn | Substack blog – https://authenticinteractions.substack.com

    • Sam Knowles: LinkedIn

    Rate, review, and follow!

    Enjoyed the episode? Please take a moment to rate and review us on Apple Podcasts or Spotify. Your support helps us bring more thought-provoking discussions to you.

    続きを読む 一部表示
    51 分
  • From CERN to Ad Regulation: How AI & Data Science Are Changing Advertising | Adam Davidson
    2025/02/19
    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
    続きを読む 一部表示
    48 分
  • 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
    2025/02/05

    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!

    続きを読む 一部表示
    53 分

Data Malarkey - the podcast about using data smarterに寄せられたリスナーの声

カスタマーレビュー:以下のタブを選択することで、他のサイトのレビューをご覧になれます。