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Noah Rosenblatt

President North America
Beauty Space

Noah Rosenblatt is President of The PCA Companies' newest acquisition, BEAUTYSPACE (formerly SpaceNK Wholesale). Noah joined BEAUTYSPACE in 2015, after prior roles at LVMH and 20 years of retail industry experience. During his tenure, he has led the company through two significant business shifts, resulting in an operations that now include more than 700 branded BEAUTYSPACE points of distribution for nearly 100 brands within the wholesale portfolio.

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Noah Rosenblatt

President North America
Beauty Space

Noah Rosenblatt

President North America
Beauty Space

Noah Rosenblatt is President of The PCA Companies' newest acquisition, BEAUTYSPACE (formerly SpaceNK Wholesale). Noah joined BEAUTYSPACE in 2015, after prior roles at LVMH and 20 years of retail industry experience. During his tenure, he has led the company through two significant business shifts, resulting in an operations that now include more than 700 branded BEAUTYSPACE points of distribution for nearly 100 brands within the wholesale portfolio.

Under Noah’s leadership, he has been instrumental in developing strategies to increase brand awareness, drive expansion, deepen customer relationships, and evolve the brands’ in-store and digital presence. This forward-thinking, award-winning retail experience connects retailers and brands to consumers—wherever and however they choose to shop—across both the luxury and prestige markets.

Pharma and Biotech Patent Litigation USA - 2025 Skeleton Agenda

Beyond Benchmarks to Real Products:
Automatically convert trained AI models into optimized mobile apps, ready to deploy within hours—no app development required.

End-to-End Automated Pipeline:
Seamlessly perform AI model conversion, device-specific optimization (NPU/GPU/CPU), and automatic SDK and app template generation (Android, iOS, Flutter).

Real-World Impact & Use Cases:
Proven deployments across industries including healthcare and enterprise, delivering immediate value through reduced costs, enhanced data security, and superior real-time performance.

Author:

Yeonseok Kim

CEO
Zetic
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Yeonseok Kim

CEO
Zetic

Following the MLCommons Q3 MLPerf Inference results announcement on the morning of Tuesday 9th September on the keynote stage, MLCommons Founder & Executive Director David Kantar will deliver a detailed analysis of the results followed by a Q&A session from the audience. 

Author:

David Kanter

Founder & Executive Director
MLCommons

David co-founded and is the Head of MLPerf for MLCommons, the world leader in building benchmarks for AI. MLCommons is an open engineering consortium with a mission to make AI better for everyone through benchmarks and data. The foundation for MLCommons began with the MLPerf benchmarks in 2018, which rapidly scaled as a set of industry metrics to measure machine learning performance and promote transparency of machine learning techniques. In collaboration with its 125+ members, global technology providers, academics, and researchers, MLCommons is focused on collaborative engineering work that builds tools for the entire AI industry through benchmarks and metrics, public datasets, and measurements for AI Safety. Our software projects are generally available under the Apache 2.0 license and our datasets generally use CC-BY 4.0.

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David Kanter

Founder & Executive Director
MLCommons

David co-founded and is the Head of MLPerf for MLCommons, the world leader in building benchmarks for AI. MLCommons is an open engineering consortium with a mission to make AI better for everyone through benchmarks and data. The foundation for MLCommons began with the MLPerf benchmarks in 2018, which rapidly scaled as a set of industry metrics to measure machine learning performance and promote transparency of machine learning techniques. In collaboration with its 125+ members, global technology providers, academics, and researchers, MLCommons is focused on collaborative engineering work that builds tools for the entire AI industry through benchmarks and metrics, public datasets, and measurements for AI Safety. Our software projects are generally available under the Apache 2.0 license and our datasets generally use CC-BY 4.0.