ANZ Bank · NVIDIA
0.82 — Gini coefficient for assessing risk
Independently reportedBanking & finance · Other · Classical ML · Pilot
Other
Johns Hopkins University Applied Physics Laboratory (APL)
Vendor-reportedPublic sectorUnited StatesScaledEnterpriseLLMLive 2024
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by innovationleader.com (vendor self-report). Checked against the source page on 2026-09-05. 4 of 4 figures below appear on that page word for word.
The problem
Many APL staff members were not comfortable implementing Generative AI (GenAI) into their daily work, risking the organization falling behind.
What was deployed
- Products
- Level Up program, Runway
- Technique
- LLM
- Build or buy
- Built in-house or to order
- Deployment
- Custom build
- Scale
- 2,500 employees (so far)
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
doubledSearches and access of GenAI tools within the organizationby February
“This outreach had great impact with searches and access of GenAI tools doubling within the organization by February.”
Quoted word for word from the source
more than 1,500 employees completed over 6,500 unique training sessionsEmployees completing unique training sessions during competitionduring the competition
“During the competition, more than 1,500 employees completed over 6,500 unique training sessions.”
Quoted word for word from the source
an additional 1,000 staff members have taken Level Up training, and more than 10,000 overall training sessions have been completedAdditional staff members trained and total training sessions completedsince the end of the training in April 2024
“Since the end of the training in April 2024, an additional 1,000 staff members have taken Level Up training, and more than 10,000 overall training sessions have been completed.”
Quoted word for word from the source
more than 60 percentWorkforce trained in GenAI tools and techniquesnow
“With more than 60 percent of the workforce now trained in GenAI tools and techniques, GenAI is no longer a niche area reserved for specialists.”
Quoted word for word from the source
“We didn’t have time to wait. If we didn’t empower our workforce to leverage AI as 2023 came to a close, we risked falling behind. These GenAI tools allowed me to create something visual and compelling in just a couple of hours, and it helped us get the buy-in we needed from leadership right away.”
Difficulties and limits
- We’d never put together training at this scale and speed
- AI models can unintentionally perpetuate or exacerbate bias
Sources
- innovationleader.com — vendor self-report, 2025-05-28
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