3 Ways Apple Intelligence And Embedded AI Will Change Daily Life

 


One Sunday, while we were unwinding with family, my dad remarked, "The TV is smart; it knows what I want without me telling it." He was looking for an explanation of how the content on his TV and mobile phone interacted. He said, "It knows a lot about me," sounding both worried and curious.

The best way to characterize "it" is as embedded AI, which is the process by which tech companies develop intelligent platforms that allow for intelligent integration and interactions with our day-to-day experiences. It was evident last month at Apple's Worldwide Developers Conference that embedded AI is a real thing. Given the existence of ChatGPT, Google AI, Microsoft Azure, Copilot, Tensor Flow, and numerous more AI platforms, some argue that Apple is a latecomer to the AI ecosystem. Instead, it appears to be fashionably late, surpassing rivals with the announcement that its artificial intelligence (AI) solution, which it calls Apple Intelligence, will cover its essential core devices—iPads, MacBooks, and iPhones.

Apple Intelligence exemplifies the embedded character of integrated products and services, combining ChatGPT with them to provide a platform intelligent experience for billions of people. It will also probably alter how we use AI and our gadgets.

According to data from Statista, Apple made around $46 billion in income from iPhone sales alone in the second quarter of its fiscal year 2024. According to the same report, Apple maintained its leading position in the market share of mobile vendors as of June 2024. Even though these statistics demonstrate a relationship between products, Apple Intelligence's embedded nature is smooth across service offerings, which partially addresses Dad's query.

It is interesting to note that Meta is demonstrating embedded AI product and service integration as well. Meta AI is said to be the most intelligent AI assistant, using Llama 3. Instagram, WhatsApp, and other business products all incorporate it. After acquiring Instagram in 2012, Meta has continued to enhance the features offered by the social media platform, such as Collab, Reels, Live Rooms, and photo and video sharing.

Estimates indicate that 1.44 billion monthly active users of the social media platform will exist by 2025, making up 31.2% of all internet users worldwide. Examining IG's market penetration in conjunction with Meta AI, users may effortlessly obtain real-time information through a Meta AI "personal assistant" to create and oversee everyday chores. AI-generated Instagram clips, in my dad's case, may make tailored TV possible based on user-inspired and wanted content.

There is a new blueprint with embedded AI's creative nature, intelligence, and tailored techniques. The human "thinking" that goes into even the most routine chores that we all perform on a daily basis seems to be eliminated by AI. Instead, it is choosing what to watch on TV, making an appointment on the calendar, or sending an email. In order to provide consumers with convenience and information sharing across goods and services, embedded AI is included into a wide range of apps and gadgets. This embedded method can be useful and productive, but it can also take things too far and deny us the freedom to think, act, and make our own decisions.

This embedded nature of AI advancements will fundamentally change daily living in three ways:
  • 1 ->   For tech users, intelligence will entail new experiences and interpretations. Device, platform, and data have all crashed into one period, and they are now essentially interchangeable. A personal search on one mobile device, for instance, returns results for all devices connected to the user. In dad's instance, his laptop and tablet are now integrated with the TV results that he watches on his phone.
  • 2 ->   AI innovation coupled with platform intelligence will make us rethink how we approach even the most basic of jobs. However, the development, construction, and conception of AI goods and services require human judgment and inventiveness. Think about the variety of languages, backgrounds, and cultures that intelligent products and services ought to accommodate.
  • 3 ->   AI will always be influenced by the way humans interact, work, play, and live. Data protection and privacy are therefore important concerns. Legislation is still falling behind technology, thus it is imperative that people have even a basic understanding of data literacy. These bring up concerns about ethical AI, biased AI, and responsible AI. Since embedded AI is already clever and will only becoming more so, transparency, accountability, equity, fairness, and governance become crucial issues in any scenario.
The fact that my father said, "It knows a lot about me," illustrates why platform intelligence needs to be open and combined with human inquiry so that everyone is free to think for themselves.


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