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Mar Gutiérrez

Gerente de Sostenibilidad y Responsabilidad Social
Grupo Trimex

Mar Gutiérrez

Gerente de Sostenibilidad y Responsabilidad Social
Grupo Trimex

Mar Gutiérrez

Gerente de Sostenibilidad y Responsabilidad Social
Grupo Trimex
 

Fernanda Suarez Arrañaga

Directora de Sostenibilidad e Impacto Social
NatureSweet

Fernanda Suarez Arrañaga

Directora de Sostenibilidad e Impacto Social
NatureSweet

Fernanda Suarez Arrañaga

Directora de Sostenibilidad e Impacto Social
NatureSweet
 

Sol Ortiz Garcia

Directora General, Política, Prospección y Cambio Climátic
Mexican Department of Agriculture

Sol Ortiz Garcia

Directora General, Política, Prospección y Cambio Climátic
Mexican Department of Agriculture

Sol Ortiz Garcia

Directora General, Política, Prospección y Cambio Climátic
Mexican Department of Agriculture
 

Gary LaFever

Co-CEO & General Counsel
Anonos

Gary LaFever is co-CEO and General Counsel at Anonos. Anonos’ globally patented, award-winning Data Embassy platform uses a unique combination of state-of-the-art data privacy tools to transform sensitive data assets into Variant Twins: non-identifiable, up to 100% accurate variations of source data engineered for specific use cases to support desired business outcomes.

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Gary LaFever

Co-CEO & General Counsel
Anonos

Gary LaFever

Co-CEO & General Counsel
Anonos

Gary LaFever is co-CEO and General Counsel at Anonos. Anonos’ globally patented, award-winning Data Embassy platform uses a unique combination of state-of-the-art data privacy tools to transform sensitive data assets into Variant Twins: non-identifiable, up to 100% accurate variations of source data engineered for specific use cases to support desired business outcomes. Because precise technical controls are embedded within them and continuously enforced, Variant Twins can travel anywhere – across departments, outside the enterprise, and around the globe. With Data Embassy, organizations have full-spectrum, universal data protection to increase cloud utilization, improve cybersecurity, and power lawful analytics, artificial intelligence, machine learning, and data sharing initiatives for faster speed to insights.

Maximizing ROI in Generative AI While Preserving Data Privacy hosted by Anonos

In today's data-driven AI landscape, the integrity and privacy of data are paramount. Discover how to strike a balance between protecting data and fully harnessing its potential for GenAI initiatives. Join experts from Anonos, a leader in data privacy, security, and enablement, for a webinar packed with insights and proven strategies to help you achieve maximum ROI from your AI projects without compromising data security.

Expect to learn about:

 

Kurtis Bowman

CXL Consortium MWG Co-Chair

Kurtis Bowman

CXL Consortium MWG Co-Chair

Kurtis Bowman

CXL Consortium MWG Co-Chair

Trends in Advanced Memory: Perspectives from Associations, Vendors and End Users

In fewer than 30 minutes, this webinar will arm you with a primer on the main trends in memory innovation and CXL, show you how Samsung and Roche are overcoming memory bottlenecks, and convince you why you should attend the first ever MemCon in Silicon Valley on March 28-29. Short and sweet!

Sign up to stay informed, and to benefit from a discount to MemCon next month.

Visit the MemCon website to find out more!

 

Taylor Groves

HPC Architecture and Performance Engineer, Advanced Technology Group
NERSC

Taylor Groves is a member of NERSC's Advanced Technology Group, where hisfocus is on networks and modeling/analysis of distributed systems. Prior to joining NERSC, he was a graduate researcher atSandia National Laboratories Center for Computing Research.

He earned a B.S. in Computer Science fromTexas State University. He holds a MS and PhD from theUniversity of New Mexicoas a part of the Scalable Systems Laboratory under Prof. Dorian Arnold.

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Taylor Groves

HPC Architecture and Performance Engineer, Advanced Technology Group
NERSC

Taylor Groves

HPC Architecture and Performance Engineer, Advanced Technology Group
NERSC

Taylor Groves is a member of NERSC's Advanced Technology Group, where hisfocus is on networks and modeling/analysis of distributed systems. Prior to joining NERSC, he was a graduate researcher atSandia National Laboratories Center for Computing Research.

He earned a B.S. in Computer Science fromTexas State University. He holds a MS and PhD from theUniversity of New Mexicoas a part of the Scalable Systems Laboratory under Prof. Dorian Arnold.

The Future of Novel AI Hardware in HPC

Over the past several years, National Labs and supercomputing centers across the globe have been tinkering with AI testbed systems for scientific and machine learning workloads. These novel AI hardware platforms have been applied to tackle tasks like Covid simulations, computational fluid dynamics, and ultra-high-resolution computer vision for enabling digital twins.

 

Venkatram Vishwanath

Data Science Team Lead
Argonne National Laboratory

Venkatram Vishwanathis a computer scientist at Argonne National Laboratory. He is the Data Science Team Lead at the Argonne leadership computing facility (ALCF). His current focus is on algorithms, system software, and workflows to facilitate data-centric applications on supercomputing systems. His interests include scientific applications, supercomputing architectures, parallel algorithms and runtimes, scalable analytics and collaborative workspaces.

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Venkatram Vishwanath

Data Science Team Lead
Argonne National Laboratory

Venkatram Vishwanath

Data Science Team Lead
Argonne National Laboratory

Venkatram Vishwanathis a computer scientist at Argonne National Laboratory. He is the Data Science Team Lead at the Argonne leadership computing facility (ALCF). His current focus is on algorithms, system software, and workflows to facilitate data-centric applications on supercomputing systems. His interests include scientific applications, supercomputing architectures, parallel algorithms and runtimes, scalable analytics and collaborative workspaces. He has received best papers awards at venues including HPDC and LDAV, and a Gordon Bell finalist. Vishwanath received his Ph.D. in computer science from the University of Illinois at Chicago in 2009.