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Nansen: AI & Blockchain Analytics - Alex Svanevik

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Manage episode 433338013 series 41400
内容由Epicenter Media and Epicenter Media Ltd.提供。所有播客内容(包括剧集、图形和播客描述)均由 Epicenter Media and Epicenter Media Ltd. 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

The saying goes that knowledge is power, and this perfectly applies to blockchains due to their innate transparency and immutability. However, raw data could seem, at first, unusable. This is where analytics companies, such as Nansen, play a major role in demystifying blockchain data by labelling it. In turn, curated data holds value as it can give an edge to traders, by tracking ‘smart money’ wallets. In the age of AI, most of the heavy lifting of data analysis is performed by LLMs, but human input is equally valuable for discerning nuances and fine tuning the process.

Topics covered in this episode:

  • Alex’s background, from AI to crypto
  • Nansen’s values
  • Querying blockchain data
  • Supported chains
  • Ensuring data accuracy
  • Generating wallet labels
  • The role of LLMs and AI
  • Data privacy and monetisation
  • On-chain transparency, privacy and ethics
  • Roadmap and further enhancements

Episode links:

Sponsors:

  • Gnosis: Gnosis builds decentralized infrastructure for the Ethereum ecosystem, since 2015. This year marks the launch of Gnosis Pay— the world's first Decentralized Payment Network. Get started today at - gnosis.io
  • Chorus1: Chorus1 is one of the largest node operators worldwide, supporting more than 100,000 delegators, across 45 networks. The recently launched OPUS allows staking up to 8,000 ETH in a single transaction. Enjoy the highest yields and institutional grade security at - chorus.one

This episode is hosted by Friederike Ernst.

P.S.: Our friends from @nansen_ai have offered us 10 discount codes for 10% off on their professional and pioneer plans! If you are interested in unlocking Nansen's true power, DM us on Twitter (X - @epicenterbtc) and we'll hook you up with a code (FCFS).

  continue reading

849集单集

Artwork
icon分享
 
Manage episode 433338013 series 41400
内容由Epicenter Media and Epicenter Media Ltd.提供。所有播客内容(包括剧集、图形和播客描述)均由 Epicenter Media and Epicenter Media Ltd. 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

The saying goes that knowledge is power, and this perfectly applies to blockchains due to their innate transparency and immutability. However, raw data could seem, at first, unusable. This is where analytics companies, such as Nansen, play a major role in demystifying blockchain data by labelling it. In turn, curated data holds value as it can give an edge to traders, by tracking ‘smart money’ wallets. In the age of AI, most of the heavy lifting of data analysis is performed by LLMs, but human input is equally valuable for discerning nuances and fine tuning the process.

Topics covered in this episode:

  • Alex’s background, from AI to crypto
  • Nansen’s values
  • Querying blockchain data
  • Supported chains
  • Ensuring data accuracy
  • Generating wallet labels
  • The role of LLMs and AI
  • Data privacy and monetisation
  • On-chain transparency, privacy and ethics
  • Roadmap and further enhancements

Episode links:

Sponsors:

  • Gnosis: Gnosis builds decentralized infrastructure for the Ethereum ecosystem, since 2015. This year marks the launch of Gnosis Pay— the world's first Decentralized Payment Network. Get started today at - gnosis.io
  • Chorus1: Chorus1 is one of the largest node operators worldwide, supporting more than 100,000 delegators, across 45 networks. The recently launched OPUS allows staking up to 8,000 ETH in a single transaction. Enjoy the highest yields and institutional grade security at - chorus.one

This episode is hosted by Friederike Ernst.

P.S.: Our friends from @nansen_ai have offered us 10 discount codes for 10% off on their professional and pioneer plans! If you are interested in unlocking Nansen's true power, DM us on Twitter (X - @epicenterbtc) and we'll hook you up with a code (FCFS).

  continue reading

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