{"id":4547,"date":"2025-07-07T14:00:00","date_gmt":"2025-07-07T17:00:00","guid":{"rendered":"https:\/\/matrixgo.ai\/apple-siri-ia-atendimento\/"},"modified":"2025-10-08T07:41:43","modified_gmt":"2025-10-08T10:41:43","slug":"apple-siri-ia-atendimento","status":"publish","type":"post","link":"https:\/\/matrixgo.ai\/en\/apple-siri-ia-atendimento\/","title":{"rendered":"Apple Tests LLM on Siri: What This Means for Intelligent Service in Businesses"},"content":{"rendered":"

The announcement of the Apple<\/strong> on the integration of Large Language Models (LLMs)<\/strong> to the Crab<\/strong> signals a turning point for technology Virtual Assistants<\/strong>. With this move, the company joins a global movement that is redesigning the way humans<\/strong> interact with machines, and this has direct implications for the corporate world.<\/p>\n\n\n\n

If before the digital assistants<\/strong> were limited to simple commands and pre-programmed responses, we have now entered an era of natural, proactive and contextualized interactions<\/strong>. And the impact of this on customer service<\/strong> can be gigantic.<\/p>\n\n\n\n

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What Apple is doing<\/strong><\/h2>\n\n\n\n

During the Apple's latest event<\/strong>, the company announced<\/strong> that the Crab<\/strong> will operate based on LLMs (Large Language Models)<\/strong>, allowing the assistant access tools<\/strong> as the ChatGPT<\/strong>, from the OpenAI<\/strong>, and the Claude<\/strong>, from the Anthropic<\/strong>. Therefore<\/strong>, the change aims to make Siri smarter<\/strong>, capable of understand complex contexts<\/strong>, respond in a more human way<\/strong> and even initiate actions proactively<\/strong>.<\/p>\n\n\n\n

However, It's not just about making Siri "smarter"<\/strong>. In practice<\/strong>, the intention is that he acts as a true digital co-pilot<\/strong>, offering contextualized suggestions<\/strong>, understanding the intention behind the questions<\/strong> and continuously monitoring conversations<\/strong>, without losing the thread<\/strong>.<\/p>\n\n\n\n

READ ALSO<\/strong>: <\/a>AI Optimization: 4 Steps to Mastering the \u201cNew SEO\u201d \u2013 MatrixGo<\/a><\/p>\n\n\n\n

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A global (and irreversible) trend<\/strong><\/h2>\n\n\n\n

Apple is not alone in this movement. Google<\/strong>, Goal<\/strong>, Microsoft<\/strong> and until the xAI<\/strong>, by Elon Musk, are competing for prominence in the race for the best LLMs<\/strong>. Each of these companies has already launched or is testing AI assistants<\/strong> with unprecedented capabilities, such as memory <\/strong>from previous conversations, understanding <\/strong>of multiple languages and ability to interpret emotions <\/strong>and tones of voice.<\/p>\n\n\n\n

We are facing a new generation of conversational assistants<\/strong>, capable of performing tasks based on interactions natural<\/strong>, without the user needing to adapt their language <\/strong>or navigate complex menus.<\/p>\n\n\n\n

READ ALSO<\/strong>: What is Meta Business Messaging and how it transforms customer relationships \u2013 MatrixGo<\/a><\/p>\n\n\n\n

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Direct impact on customer service in companies<\/strong><\/h2>\n\n\n\n

For the corporate market<\/strong>, that artificial intelligence revolution<\/strong> raise one crucial point<\/strong>: you customers are changing<\/strong>. Now<\/strong>, the expectation is for fluid dialogues<\/strong>, with helpful, quick, and empathetic responses<\/strong>.<\/p>\n\n\n\n

Consequently<\/strong>, this transformation directly impacts<\/strong> the sectors of customer service<\/strong>, sales<\/strong> and support<\/strong>. Companies that maintain cold, impersonal and distant experiences<\/strong> tend to lose space<\/strong> for those who adopt more intelligent, human and adaptive solutions<\/strong>.<\/p>\n\n\n\n

Like this<\/strong>, the service<\/strong> stops being just an operation and becomes a strategic differential<\/strong>, capable of generate more conversions<\/strong>, increase customer retention<\/strong> and strengthen the perception of brand value<\/strong>.<\/p>\n\n\n\n

READ ALSO<\/strong>: <\/a>Emotional Intelligence in Chatbots: AI Trend<\/a><\/p>\n\n\n\n

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The challenge of personalization<\/strong><\/h2>\n\n\n\n

Despite the power of public LLMs<\/strong>, there is a critical limitation<\/strong>: they are generics<\/strong>. These models were not trained with your company's data<\/strong>, therefore they do not know their internal processes<\/strong>, do not understand the technical vocabulary<\/strong> and do not follow the specific rules of your business<\/strong>.<\/p>\n\n\n\n

That's why, for AI assistants to really make a difference<\/strong>, it is necessary to ensure:<\/p>\n\n\n\n