Apple is strategically advancing its position in the artificial intelligence (AI) domain, signifying a pivotal shift in the company’s approach to integrating AI into its core operations and product ecosystem. The recent innovations and acquisitions underscore the Cupertino-based tech giant’s focus on bringing AI to its offerings while prioritizing user privacy and ethical AI, says GlobalData.
Saurabh Daga, Associate Project Manager of Disruptive Tech at GlobalData, comments: “While Apple till now has appeared slow to join the AI bandwagon in comparison to the likes of Microsoft, Google, and Amazon. The recent acquisition of DarwinAI may as well be the first in a series of initiatives to recalibrate the company’s strategy toward AI. Moreover, with its existing credentials related to in-house development, it is likely looking to build a strong intellectual property (IP) base for future developments. With one of its closest rivals in consumer tech Samsung already launching AI-integrated devices in early 2024, Apple will be looking to offer OnDevice AI features in the coming iterations of its computing devices as soon as possible.”
Darwin AI’s expertise in machine vision and machine learning (ML) aligns with Apple’s aim to enhance AI capabilities. This acquisition reflects Apple’s intent to enhance its AI capabilities with solutions that are not only powerful but also optimized for efficiency, all while maintaining a steadfast commitment to privacy.
The Innovation Explorer database of GlobalData’s Disruptor Intelligence Center highlights Apple’s contributions to the advancement of AI technologies in recent times including developing techniques to run large language models (LLMs) on iPhones, unveiling an open-source multimodal LLM, and offering a generative model for 3D scene generation, signifying a robust leap forward.
GlobalData’s Patent Analytics database reveals Apple’s recent patent filings in AI, which incorporate a range of innovations, from delivering audio information via digital assistants to leveraging machine learning for physiological predictions and image forecasting. This concerted effort pinpoints Apple’s commitment to advance AI technologies that prioritize enhancing user experiences.
Daga concludes: “Apple’s stance on AI integration remains shrouded in secrecy, yet its commitment to incorporating more AI into its products is evident. Despite the lack of a fixed timeline, the prospect of integrating AI, especially generative AI raises pertinent concerns regarding data security and privacy, a challenge Apple would like to address proactively, given the inherent sensitivity of its products and user base.”
