Apple already has over 20 million developers creating software for its devices, and the company is aware of the potential processing power these developers could lend to their AI operations, both in terms of quantity and variety of data.
Apple’s iOS has a built-in platform for Machine Learning called Core ML which enables developers to incorporate trained machine learning models into their apps. This integration allows them to utilize the vast power of machine learning without requiring particular expertise in the field.
Apple’s strategy differs from other tech giants like Google and Facebook that have prioritized developing AI in-house. By harnessing the power of its developer network, Apple can effectively crowdsource its AI development, potentially leading to a wider range of applications and a quicker development timeline.
However, it’s also a challenging endeavor; Apple will need to maintain its commitment to user privacy while allowing developers to contribute to its AI development. But if done right, the tech giant’s huge network of third-party developers could be a game changer in the race for AI supremacy.
To sum up, Apple’s strategy in the AI competition is to fully harness the power of its sprawling developer community to come out with diverse and innovative AI-driven applications and services. Through this, Apple aims to compete with other industry heavyweights in delivering sophisticated AI experiences to end users