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EP 85: Alexandr Wang (CEO, ScaleAI): The 26-Year-Old Powering the AI Industry
The Logan Bartlett Show
The Future of Enterprise AI: Leveraging Proprietary Data and Fine-tuned Models
Enterprises possess a vast amount of proprietary data, which significantly exceeds the publicly available data that underpins most current AI models. The challenge and opportunity lie in successfully intermingling and fine-tuning these public models with proprietary data, resulting in customized AI capabilities that are uniquely suited to their specific business needs and customer contexts. This approach can unlock distinct advantages across various enterprise applications, such as customer care, legal processes, and development tasks. By leveraging the advancements made by foundation model providers, enterprises can create highly tailored solutions, thereby setting a new paradigm in the AI landscape. The ongoing collaboration between enterprises and model providers marks a pivotal movement towards harnessing the full potential of proprietary data, ultimately transforming how businesses implement AI solutions in their operations.
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