In june 2025 axios husted 2 innovation events close to penn avenue and 7th street - one with accenture, the other with visa. Both a block away from Bloomberg center which has edgy engineering agendas in health, in daya sovereignty, in areas of foundational tech in government, across cities as transnation educational/intelligence work. Visa details reproduced below. Accenture is arguably among traditional consultants the one that has most trained staff in deep learning ai with nvidia. Here is grok june 2025 on eg jensen hauangs emerging relationships with societal finance ai
While Huang has not explicitly singled out a financial transformation project as his proudest, his public statements suggest he is most enthusiastic about partnerships that push the boundaries of AI’s potential across industries. For example:
- Accenture and Microsoft: NVIDIA collaborates with Accenture and Microsoft to deploy AI solutions for enterprises, including financial services. Accenture’s use of NVIDIA’s AI software for data curation and model fine-tuning could support transformative financial applications, such as improving access to credit or optimizing insurance models. Huang’s pride in these partnerships stems from their scale and impact on global industries, but he has not specifically highlighted their financial applications.
- Stripe: Huang’s praise for Stripe’s founders in the UK reflects their success in using NVIDIA’s GPUs for AI-driven fraud detection and payment processing. While this is transformative for e-commerce, it does not directly address societal issues like student loans or community livelihoods.
- General AI Infrastructure: Huang’s broader vision, as articulated in keynotes like GTC 2025, is to position NVIDIA as the backbone of AI infrastructure for all industries, including finance. He is likely most proud of NVIDIA’s role in enabling a wide range of AI applications, rather than a single finance-specific project.
- Medical Students and AI: NVIDIA’s GPUs are used in medical imaging and drug discovery, which could indirectly support medical students by accelerating research and reducing training costs. For example, AI-driven diagnostics could lower the cost of medical education by automating certain training processes, but this is not a stated goal of NVIDIA’s partnerships.
- Community Livelihoods: Huang’s vision of “physical AI” and “agentic AI” could enable community-based organizations to develop AI-driven financial tools, such as microloan platforms or budgeting apps tailored to local needs. However, these applications remain speculative without specific NVIDIA projects targeting them.
- Reimagining the College Model: Huang’s push for AI literacy and tools like Project Digits could disrupt the traditional college model by making high-performance computing accessible to students from diverse economic backgrounds. This could reduce the financial burden of education for millennial engineers, enabling them to innovate in finance or other fields without needing elite, expensive degrees.
When: Thursday, June 26, 2025 | 5:30 pm - 7:30 pm
📍 Where: 701 Pennsylvania Ave NW, Washington, DC 20004
🧊 1 fun thing: Escape the heat with cold refreshments and AC while exploring Visa’s exclusive new space with an immersive tech-driven experience designed for discovery and engagement.
Axios cybersecurity reporter Sam Sabin will host one-on-one conversations with:
- Will Hurd
Chief Strategy Officer, CHAOS
Former U.S. Representative, Texas' 23rd Congressional District The Honorable Eric Swalwell
Representative, California's 14th District
Member, House Judiciary and Homeland Security CommitteesMichael Jabbara
Senior Vice President, Payment Ecosystem Risk and Control, Visa
View From the Top segment moderated by Axios' Nicholas Johnston