The Emerging Podcast

Dicey Tech
The Emerging Podcast

As the world innovates faster, The Emerging Podcast exists to guide emerging people into emerging careers. We cover emerging technologies, jobs, companies, industries, and the people that drive all of this innovation. Think of us as your personal career compass - dropping inspiration and insight nuggets to help navigate your early career. We speak with people doing interesting things in data and tech to: - learn about their career journeys - explore impactful past, present and future projects - demystify careers and how to break into the space Click 'Follow' and drop us a review 🙌

  1. E18: From Warfare to Software: A Physicist's Guide To Startups | Sean Gourley @Primer

    15/09/2023

    E18: From Warfare to Software: A Physicist's Guide To Startups | Sean Gourley @Primer

    Sean Gourley is the founder of Primer, an AI company enabling better decision making in the world’s most critical organisations. Sean is a physicist by training and data scientist by passion. This curiosity and skillset enables him to study the mathematical patterns of war and terrorism, the algorithmic ecosystem of high frequency trading, and the rise of augmented intelligence through big data - just to name a few. In this episode, we explore the factors that led Sean down the research and entrepreneurship pathway, and dive into key lessons about hiring, timing, and mindset. Follow us Sean Gourley - https://www.linkedin.com/in/sgourley/ Alex Alexandrescu - https://www.linkedin.com/in/alex-alex Sofiane Bébert - https://www.linkedin.com/in/sofiane-b References from episode Ted Talk about The Mathematics of War - https://www.ted.com/talks/sean_gourley_the_mathematics_of_war?language=en ‘Mapping Ideas Worth Spreading’ Ted Talk with Eric Berlow - https://www.ted.com/talks/eric_berlow_and_sean_gourley_mapping_ideas_worth_spreading?language=en ‘Big Data and the Rise of Augmented Intelligence’ Tedx Talk - https://www.youtube.com/watch?v=mKZCa_ejbfg Timestamps [00:00 – 13:23] What is the mathematics of war? [13:23 – 26:56] Why you should leave your comfort zone. [26:56 – 41:47] How founders should think about building startup teams. [41:47 – 1:02:30] The importance of timing when building a startup. [1:02:30 – 1:07:46] What to do after building a successful venture.

    1 h y 8 min
  2. E14: Blending Engineering & Data Science in Autonomous Vehicles | Tim Cordingley @Wayve

    04/07/2023

    E14: Blending Engineering & Data Science in Autonomous Vehicles | Tim Cordingley @Wayve

    Tim Cordingley is a data scientist currently working for Wayve Technologies, an exciting startup developing embodied intelligence for autonomous vehicles.. After completing his engineering studies at Durham University, Tim gained valuable experience through an internship at Jaguar Land Rover. He embarked on his professional journey as an Associate Consultant at KPMG before making a successful transition into the field of data science, where he contributed his skills at Deliveroo. Currently, Tim has returned to the automotive domain, bringing his expertise to Wayve. Join us as we explore transitioning from engineering to data science and learn how to effectively pitch yourself to prospective employers. Uncover Wayve's cutting-edge work in autonomous driving and gain insights into their recruitment process. Follow us: Tim Cordingley - https://www.linkedin.com/in/timothy-cordingley-03a256132/?originalSubdomain=uk Alex Alexandrescu - https://www.linkedin.com/in/alex-alex Sofiane Bébert - https://www.linkedin.com/in/sofiane-b References from episode: Our talk with Andy McMahon – Episode 8 – https://youtu.be/Gpax79mDjR0 Wayve AI Driver – https://wayve.ai/technology/wayve-ai-driver/ Timestamps: [00:00 – 06:37] Transitioning from engineering to DS, KPMG to Deliveroo. [06:37 – 11:42] Working in DS at Deliveroo. [11:42 – 15:32] How to pitch yourself to prospective employers. [15:32 – 32:16] What does Wayve do? [32:16 – 36:00] Recruitment and hiring process at Wayve. [36:00 – 42:36] Useful interview skills for getting into DS and closing thoughts.

    41 min
  3. E13: Building Influence in Data Science | Fabian Werkmeister @FUNKE

    19/05/2023

    E13: Building Influence in Data Science | Fabian Werkmeister @FUNKE

    Fabian Werkmeister is a data scientist at FUNKE, a media company based out of Germany, and a thought leader dedicated to helping people become fluent in data and discover the exciting intersection between business and tech. Passionate about data, Fabian transitioned from studying economics and an early career in marketing to data science through a bootcamp he undertook during the pandemic. Now, he seeks to inspire others and ignite their passion for data science. Join us as we discuss the ins and outs of of data science and how to effectively transition into this growing space. We also discuss building an online following and tips for breaking out on LinkedIn. Follow us: Fabian Werkmeister - https://www.linkedin.com/in/fabian-werkmeister-3008681a3/?originalSubdomain=de Alex Alexandrescu - https://www.linkedin.com/in/alex-alex Sofiane Bébert - https://www.linkedin.com/in/sofiane-b References from episode: Fabian’s Data Notion space - https://fabianwerkmeister.notion.site/Data-Launch-Pad-8a977137f6a246bc9a791b63b9f8cdc2 Midwit Meme – Know Your Meme – https://knowyourmeme.com/memes/iq-bell-curve-midwit Timestamps: [00:00 – 07:55] The ins and outs of doing a business degree. [07:55 – 23:55] Transitioning into data science via online bootcamps. [23:55 – 34:33] The reality of data science while working at FUNKE. [34:33 – 45:32] Building an online following on LinkedIn. [45:32 – 53:09] ChatGPT and its uses across writing articles and data science. [53:09 – 58:14] Advice on breaking into data.

    58 min
  4. E12: Math, Markets, and ML: A Story of Adaptation and Reinvention | Erik Mathiesen-Dreyfus @Infer

    28/04/2023

    E12: Math, Markets, and ML: A Story of Adaptation and Reinvention | Erik Mathiesen-Dreyfus @Infer

    Erik Mathiesen-Dreyfus is co-founder of Infer, a platform supercharging data analysts with data exploration & research tools, and co-organiser of MancML, one of the original AI/ML communities in Manchester. After a few years in academia, Erik started his career at Bear Stearns, right before the 2008 Global Financial Crisis. He quickly progressed as a quant for some of the big names out there, before becoming an entrepreneur. Since then, he has started his own financial services firm, a ML startup in recruitment, built and scaled data teams for companies like Streetbees & Attest, and now he is back in the startup world again as a founder with Infer. Join us as we discuss education in different countries, navigating career pathways, and how we need to adapt our view and measure skills and competencies in a rapidly changing world. Follow us: Erik Mathiesen-Dreyfus - ⁠https://www.linkedin.com/in/erikarne⁠ / ⁠http://arnovich.com⁠ Infer - https://www.getinfer.io/ Alex Alexandrescu - ⁠https://www.linkedin.com/in/alex-alex ⁠Sofiane Bébert - ⁠https://www.linkedin.com/in/sofiane-b⁠ Dicey Tech - https://www.diceytech.co.uk Timestamps: [00:00 – 04:56] Study maths at university or go to the army? [04:56 – 06:05] What is Elliptic Curve Cryptography? [06:05 – 12:28] Exams in Denmark & Romania. [12:28 – 15:41] Competition and investment banking. [15:41 – 21:04] Working at Bear Stearns in the eye of the storm. [21:04 – 26:54] Starting your first business, what could go wrong? [26:54 – 32:14] The truth about CVs. [32:14 – 34:30] Lessons learnt while hiring your first team. [34:30 – 37:28] When to shut down a start-up. [37:28 – 45:28] Building data science teams and hiring at Streetbees. [45:28 – 1:00:08] Learning from mistakes with Infer.

    1 h
  5. E11: AI Unleashed - Battling Infinite Misinformation & Bias | Guillaume Bouchard @Checkstep

    19/04/2023

    E11: AI Unleashed - Battling Infinite Misinformation & Bias | Guillaume Bouchard @Checkstep

    Guillaume Bouchard is the Co-Founder and CEO of Checkstep. He is also a ML researcher and trust and safety expert. He previously co-founded Bloomsbury AI to reduce the prevalence of misinformation using AI, which he sold to Facebook in 2018. Now he spends his time building content moderation systems to reduce harm and hate online. Join us today as we cover a range of fascinating topics like doing ML research inside a French castle, building and selling AI start-ups, relocating with a wife and 3 kids from France to London, the distribution of human genes through dating apps, and the opportunities and risks that come with the explosion of generative AI. Follow us: Guillaume Bouchard - https://www.linkedin.com/in/guillaume-bouchard-2494882/ Alex Alexandrescu - https://www.linkedin.com/in/alex-alex Sofiane Bébert - https://www.linkedin.com/in/sofiane-b References from episode: Andrew Ng’s Paper about Discriminative vs. Generative models – https://ai.stanford.edu/~ang/papers/nips01-discriminativegenerative.pdf Ilya Sutskever’s Paper ‘Sequence to Sequence Learning with Neural Networks – https://arxiv.org/pdf/1409.3215.pdf What is federated learning? – [https://www.v7labs.com/blog/federated-learning-guide#:~:text=Federated learning (often referred to,model locally%2C increasing data privacy](https://www.v7labs.com/blog/federated-learning-guide#:~:text=Federated learning (often referred to,model locally%2C increasing data privacy). ‘The Age of Infinite Misinformation Has Arrived’, Gary Marcus –https://www.theatlantic.com/technology/archive/2023/03/ai-chatbots-large-language-model-misinformation/673376/ Timestamps: [00:00 – 08:21] Early years of generative AI - ChatGPT’s brother from another mother. [08:21 – 14:08] Building generative AI for knowledge bases. [14:08 – 23:58] Growing and recruiting at Bloomsbury AI. [23:58 – 31:22] Fundraising and building a content moderation system at CheckStep. [31:22 – 33:13] Is scale all we need to further develop generative AI? [33:13 – 35:07] Using AI to improve research output. [35:07 – 40:40] How to fight against ‘The Age of Infinite Misinformation’. [40:40 – 45:10] Can we remove bias? What are the implications? [45:10 – 47:04] The role of content distribution platforms and how they should be managed. [47:04 – 49:30] Breaking into Data Science.

    50 min

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As the world innovates faster, The Emerging Podcast exists to guide emerging people into emerging careers. We cover emerging technologies, jobs, companies, industries, and the people that drive all of this innovation. Think of us as your personal career compass - dropping inspiration and insight nuggets to help navigate your early career. We speak with people doing interesting things in data and tech to: - learn about their career journeys - explore impactful past, present and future projects - demystify careers and how to break into the space Click 'Follow' and drop us a review 🙌

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