いち早く入手!ビジネスイベントとスポンサー情報が大集結

markmi

で検索した結果

Near Foundation Head of Partner Development, VC & Investor Relations

Mark Mi is the Head of Partner Development, VC & Investor Relations at NEAR Foundation, a non-profit focused on increasing the adoption and development of the NEAR Protocol and its ecosystem. NEAR Protocol is a sharded, Proof-of-Stake Layer-1 blockchain leading the chain abstraction movement and AI Web3 ecosystem, with the long-term vision to become the home for user-owned AI. As part of his role, he oversees partnerships and investments. Prior to joining NEAR Foundation, Mark led a variety of teams including BD of a gaming metaverse and a family office fund in Asia. He started his career as a consultant at Ernst & Young and is an UC Berkeley Haas alum.


※ プロフィールの引用元は「WebX2024」になります。

※ 登壇者情報には同姓同名も含まれている場合があります。

※ 詳細は以下の一覧をご確認ください。

markmi氏の登壇するイベント一覧

ビジネスイベント
2024/8/28(水) 〜 2024/8/29(木)
MarkMi Near Foundation Head of Partner Development, VC & Investor Relations
Mark Mi is the Head of Partner Development, VC & Investor Relations at NEAR Foundation, a non-profit focused on increasing the adoption and development of the NEAR Protocol and its ecosystem. NEAR Protocol is a sharded, Proof-of-Stake Layer-1 blockchain leading the chain abstraction movement and AI Web3 ecosystem, with the long-term vision to become the home for user-owned AI. As part of his role, he oversees partnerships and investments. Prior to joining NEAR Foundation, Mark led a variety of teams including BD of a gaming metaverse and a family office fund in Asia. He started his career as a consultant at Ernst & Young and is an UC Berkeley Haas alum.

AIにおける分散化の役割

This panel explores the intersection of decentralization and artificial intelligence (AI), focusing on how blockchain and distributed systems can shape the future of AI development and deployment. The speakers, representing various blockchain platforms and AI-focused projects, will discuss the potential benefits of decentralized AI systems, including improved data privacy, enhanced transparency, and more equitable access to AI resources. They will also examine the challenges in implementing decentralized AI solutions and the potential impact on various industries.