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AI Transformation CEOs on Building the Future Where Every Company is An AI Company | Call 145
Manage episode 384869152 series 2804936
Join us on this call led by Insignia Ventures Partners principal Yongcheng Ong, tapping into the minds of innovative entrepreneurs who are at the forefront of building the AI transformation infrastructure for enterprise, Appier CEO and co-founder Chih Han Yu, WIZ.AI CEO and co-founder Jennifer Zhang, and Bluesheets CEO and co-founder Christian Schneider. Timestamps (00:00) Highlights; (02:12) Introductions; (07:46) What Does AI Transformation Really Mean; (17:53) Leading The Third Phase of AI Adoption; (21:28) Commercializing AI for Enterprise; (23:56) AI Transformation Means Data Transformation; (27:40) Advantages of Being Global AI Companies with Roots in ASEAN; The content of this podcast is for informational purposes only, should not be taken as legal, tax, or business advice or be used to evaluate any investment or security, and is not directed at any investors or potential investors in any Insignia Ventures fund.
172 つのエピソード
Manage episode 384869152 series 2804936
Join us on this call led by Insignia Ventures Partners principal Yongcheng Ong, tapping into the minds of innovative entrepreneurs who are at the forefront of building the AI transformation infrastructure for enterprise, Appier CEO and co-founder Chih Han Yu, WIZ.AI CEO and co-founder Jennifer Zhang, and Bluesheets CEO and co-founder Christian Schneider. Timestamps (00:00) Highlights; (02:12) Introductions; (07:46) What Does AI Transformation Really Mean; (17:53) Leading The Third Phase of AI Adoption; (21:28) Commercializing AI for Enterprise; (23:56) AI Transformation Means Data Transformation; (27:40) Advantages of Being Global AI Companies with Roots in ASEAN; The content of this podcast is for informational purposes only, should not be taken as legal, tax, or business advice or be used to evaluate any investment or security, and is not directed at any investors or potential investors in any Insignia Ventures fund.
172 つのエピソード
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