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David Yakobovitch에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 David Yakobovitch 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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How Data Scientists Transform the Financial Industry with Geoffrey Horrell from London Stock Exchange Group

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Manage episode 290293033 series 2512650
David Yakobovitch에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 David Yakobovitch 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

How Data Scientists Transform the Financial Industry with Geoffrey Horrell from London Stock Exchange Group

Episode Show Notes:

  • Geoffrey Horrell was the Head of Refinitiv Labs, London and currently the Global Head of Innovation and Labs at the London Stock Exchange Group.
  • This episode unpacks key trends from Refinitiv’s new global research report ‘The Rise of the Data Scientist’. Data scientists are moving across teams and realizing (and scaling) new opportunities for AI across their firms - e.g. NLP. In addition, 75% of firms are now using Deep Learning while 17% of firms rely solely on unstructured data for AI/ML use-cases.
  • Data strategy is set to overtake tech strategy in importance. There is a further evolution of teams and talent across finance - more citizen data scientists in trading, investment teams etc.
  • Data scientists are going from supportive to strategic roles as investments in tech and talent put data strategy in the spotlight. COVID-19 is upsetting ML models where you need to recalibrate and calculate disruptive events.
  • NLP use-cases are going into production and impacting accuracy with more advancements increasing the need for ‘explainability’
  • Models, data and people are prepared for tomorrow’s unexpected shocks - COVID proved that models need re-calibrating / new data to calculate disruptive events (e.g. data enrichment).

Learn More about Refinitiv Labs:

About HumAIn Podcast

The HumAIn Podcast is a leading artificial intelligence podcast that explores the topics of AI, data science, future of work, and developer education for technologists. Whether you are an Executive, data scientist, software engineer, product manager, or student-in-training, HumAIn connects you with industry thought leaders on the technology trends that are relevant and practical. HumAIn is a leading data science podcast where frequently discussed topics include ai trends, ai for all, computer vision, natural language processing, machine learning, data science, and reskilling and upskilling for developers. Episodes focus on new technology, startups, and Human Centered AI in the Fourth Industrial Revolution. HumAIn is the channel to release new AI products, discuss technology trends, and augment human performance.


Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
  continue reading

119 에피소드

Artwork
icon공유
 
Manage episode 290293033 series 2512650
David Yakobovitch에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 David Yakobovitch 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

How Data Scientists Transform the Financial Industry with Geoffrey Horrell from London Stock Exchange Group

Episode Show Notes:

  • Geoffrey Horrell was the Head of Refinitiv Labs, London and currently the Global Head of Innovation and Labs at the London Stock Exchange Group.
  • This episode unpacks key trends from Refinitiv’s new global research report ‘The Rise of the Data Scientist’. Data scientists are moving across teams and realizing (and scaling) new opportunities for AI across their firms - e.g. NLP. In addition, 75% of firms are now using Deep Learning while 17% of firms rely solely on unstructured data for AI/ML use-cases.
  • Data strategy is set to overtake tech strategy in importance. There is a further evolution of teams and talent across finance - more citizen data scientists in trading, investment teams etc.
  • Data scientists are going from supportive to strategic roles as investments in tech and talent put data strategy in the spotlight. COVID-19 is upsetting ML models where you need to recalibrate and calculate disruptive events.
  • NLP use-cases are going into production and impacting accuracy with more advancements increasing the need for ‘explainability’
  • Models, data and people are prepared for tomorrow’s unexpected shocks - COVID proved that models need re-calibrating / new data to calculate disruptive events (e.g. data enrichment).

Learn More about Refinitiv Labs:

About HumAIn Podcast

The HumAIn Podcast is a leading artificial intelligence podcast that explores the topics of AI, data science, future of work, and developer education for technologists. Whether you are an Executive, data scientist, software engineer, product manager, or student-in-training, HumAIn connects you with industry thought leaders on the technology trends that are relevant and practical. HumAIn is a leading data science podcast where frequently discussed topics include ai trends, ai for all, computer vision, natural language processing, machine learning, data science, and reskilling and upskilling for developers. Episodes focus on new technology, startups, and Human Centered AI in the Fourth Industrial Revolution. HumAIn is the channel to release new AI products, discuss technology trends, and augment human performance.


Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
  continue reading

119 에피소드

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