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Big Tech's massive investments in AI have raised questions about the practicality and effectiveness of these technologies. Despite the hype, large AI models have not consistently delivered the expected business value, leading to concerns about the return on investment. Smaller, purpose-built AI models are proving to be more effective and financially viable for companies.
The article emphasizes the need for AI to evolve beyond lofty ambitions and focus on tangible results. With increasing regulatory scrutiny on AI technologies, companies must adapt to ensure their AI solutions are both explainable and reliable. The future of AI lies in tailored models that meet specific business needs, offering immediate benefits and clearer accountability.
• Large AI models struggle to provide practical business value despite significant investments.
• Smaller, tailored AI models offer immediate ROI and are more effective.
These models have not consistently delivered the expected business value, leading to a reevaluation of their effectiveness.
Smaller AI models are noted for providing immediate and tangible ROI compared to larger models.
The article discusses the impending regulatory landscape that will impact the development and deployment of AI solutions.
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