Forbes October 15, 2024
It’s no secret that generative artificial intelligence (AI) has enormous economic potential—McKinsey & Company projected that the benefits could total over $4.4 trillion in value for the global economy. But the dust is still settling after a frenzy of companies investing heavily in generative AI, and many are finding that ROI remains elusive.
Unsurprisingly, technology teams have been eager to experiment with various proof of concepts (POCs). But as Ben Schreiner, Head of AI and Modern Data Strategy Business Development at AWS, notes “The real sticking point has been getting POCs into production. This is partly because large language models (LLMs) are the Swiss army knives of technology—a tool capable of so many different tasks.” With such a huge scope...
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