Director, Global Public Sector Solutions Architecture & Nvidia Ai Technology Centers
CurrentSupporting AI adoption for mission focused organizations globally and supporting AI research collaborations.
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@nvidia.com
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John Ashley is listed as Chief Architect, AI Nations & Director, NVIDIA AI Technology Centers at NVIDIA, based in Los Angeles, California, United States. AeroLeads shows a work email signal at nvidia.com and a matched LinkedIn profile for John Ashley.
John Ashley previously worked as Director, Global Public Sector Solutions Architecture & NVIDIA AI Technology Centers at Nvidia and General Manager, Financial Services and Technology at Nvidia. John Ashley holds Doctor Of Philosophy (Ph.D.), Computational Sciences And Informatics from George Mason University.
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Focusing on enabling AI initiatives for mission focused organizations globally.
Listed skills include Enterprise Architecture, System Architecture, High Performance Computing, Analytics, and 33 others.
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Santa Clara, CA, US
Supporting AI adoption for mission focused organizations globally and supporting AI research collaborations.
Santa Clara, CA, US
Led the global industry team covering Capital Markets, Banking, Insurance, Exchanges, and Fintechs. Led development of strategy and field collateral. Spoke extensively to create thought leadership especially around Trustworthy and Explainable AI, NLP models for trading, and computational risk. Grew revenues a bit over 10x (again).
Santa Clara, CA, US
Stood up the Professional Services team, won first clients, and successfully delivered projects. Focused on enabling AI adoption in Fortune 500 companies. Also created our Service Delivery Partner program, defined our vetting procedure, and onboarded a global set of partners to deliver AI services to customers.
Santa Clara, CA, US
Educate IBM Research Centers, Software Teams, and the Watson team on GPU accelerated computing for both numerical high performance computing and AI ( Deep Learning ).
Santa Clara, CA, US
Global technical lead for accelerated GPU computing for financial services (moonlighting in Radio Astronomy). Collaborated with the business teams in New York and London to define and deliver strategy that grew revenues 10x.
Amsterdam, NL
Sold, architected, and managed Data Warehousing/Business Intelligence projects.
Other employees you can reach at nvidia.com. View company contacts →
Eli Guttman
Colleague at Nvidia
Israel, Israel
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FH
Fengyuan Hu
Colleague at Nvidia
Ann Arbor, Michigan, United States, United States
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AH
Aeshah Hadges, Mba
Colleague at Nvidia
San Diego, California, United States, United States
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KK
Kevin Kim
Colleague at Nvidia
San Francisco Bay Area, United States, United States
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YL
Yuening L.
Colleague at Nvidia
New Territories, Hong Kong SAR, Hong Kong
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AR
Anton Riabichenko
Colleague at Nvidia
Biel, Berne, Switzerland, Switzerland
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NH
Natalie Hereth
Colleague at Nvidia
Greater Seattle Area, United States, United States
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FK
Franklin Kuss
Colleague at Nvidia
Santa Clara, California, United States, United States
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HG
Haim Granot
Colleague at Nvidia
Netanya, Center District, Israel, Israel
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GP
Guy Poel
Colleague at Nvidia
Israel, Israel
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Quick answers generated from the profile data available on this page.
John Ashley works for NVIDIA.
John Ashley is listed as Chief Architect, AI Nations & Director, NVIDIA AI Technology Centers at NVIDIA.
AeroLeads has found 2 work email signals at @nvidia.com for John Ashley at NVIDIA.
John Ashley is based in Los Angeles, California, United States while working with NVIDIA.
John Ashley has worked for Nvidia, Maximus, Entigence, Silicon Graphics (Sgi), and Fannie Mae.
John Ashley's colleagues at NVIDIA include Eli Guttman, Fengyuan Hu, Aeshah Hadges, Mba, Kevin Kim, and Yuening L..
You can use AeroLeads to view verified contact signals for John Ashley at NVIDIA, including work email, phone, and LinkedIn data when available.
John Ashley holds Doctor Of Philosophy (Ph.D.), Computational Sciences And Informatics from George Mason University.
John Ashley is listed with skills including Enterprise Architecture, System Architecture, High Performance Computing, Analytics, Software Development, Data Modeling, Data Warehousing, and C++.
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