| Personal Brand Presence | 8 / 10 |
| Authoritativeness | 7 / 10 |
| Expertise | 8 / 10 |
| Influence | 6 / 10 |
| Overall Rating | 7 / 10 |
Alexandr Wang dropped out of MIT five years prior to co-founding Scale AI in 2016, making him the youngest self-made millionaire in history at the age of 24. Scale, an organization that helps businesses enhance the data that trains their machine-learning algorithms, labels, or tags, the enormous collections of text, picture, and video data using a combination of software and human labor. Founded in San Francisco, the corporation has grown to be a $7 billion juggernaut, serving industry titans like Microsoft, OpenAI, and Meta among its clientele. Wang claims, “We’ve been quietly driving the whole AI industry for many, many years now.”
Labeling data for machine learning models that drive autonomous driving is how Scale AI got its start. In 2020, it changed course and began concentrating on e-commerce, logistics, government, and insurance in addition to transportation. These days, by enhancing the underlying data, it aids businesses utilizing AI.
It collaborated behind the scenes with OpenAI, the top CNBC disruptor of 2023, to enhance ChatGPT by more closely matching language models to human commands. Other customers have included Toyota, SAP, and Brex, the No. 2 CNBC disruptor in 2023.
In Scale the significantly improved capabilities of large generative models in 2022 had an enormous impact on the business community in 2022, causing the 65% of respondents to either increase their AI budgets or create an AI strategy for the first time. In this report we deeply explore the impact of Generative AI, and AI more broadly, and how companies can best plan to adopt AI in 2023.
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