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    Meta lays out predictions on enterprise applications for metaverse and AI in 2024

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    Tech giant meta (Nasdaq: Meta) published a series of predictions centered around the future of emerging technologies, primarily around artificial intelligence and the Metaverse.

    in blog post, the company predicts that the Metaverse will undergo major changes given the increased consumer interest in recent years. Meta focuses on Metaverse and AI use cases in fitness and wellness, as well as enterprise use cases in “training and education.”

    One of Meta's most promising projects in the Metaverse opens a window of opportunity for colleagues to collaborate remotely on computer-aided drawing (CAD) models through its demo product, Caddy.

    “From training for a profession, mastering surgical skills, and staying at the top of athletes to education, entrepreneurship, and more, people today are harnessing the power of virtual reality and mixed reality to significantly impact learning outcomes. said Meta.

    Meta also announced that its Meta Quest app became the App Store's highest-grossing app in December. Additionally, Reality Labs' revenue exceeded his $1 billion mark. But Meta's recent interest in AI casts doubt on its Metaverse ambitions, although the company says it remains “committed to both.”

    Using AI, Meta predicts the rise of portable large-scale language models (LLMs) without relying on cloud technology. According to Meta's blog post, LLM is localized on mobile devices, reducing latency and providing greater personalization for consumers.

    While converting from cloud to device is a big leap, Mehta said the most likely route will be a hybrid model, leveraging cloud technology for some tasks and leveraging the computing power of your phone for others. He says he will use it.

    The company points to its Ray-Ban Meta smart glasses as evidence of the upcoming changes in AI.

    Meta's hypothesis extends to business messaging capabilities across social media platforms. The company believes that in the near future, a combination of AI tools will make it easier for small businesses and large enterprises to connect with their audiences in innovative ways, such as implementing third-party AI models.

    embrace innovation

    Meta has a long and storied history of embracing innovation, starting with a failed waltz with digital currencies to subsequent experiments in the virtual world.

    As the AI ​​trend gained momentum, Meta turned to LLM and famously deployed Llama 2 for commercial use cases. Instagram, Whatsapp, and Facebook have warmly embraced technology and launched suites of AI tools to improve messaging, advertising, and image editing for their customers.

    Recognizing the risks associated with AI, Meta says it will allocate significant resources to developing internal safety standards, including clear labeling of AI-generated content.

    For artificial intelligence (AI) to function properly within the law and succeed in the face of growing challenges, it must integrate enterprise blockchain systems that ensure the quality and ownership of data input. This allows you to keep your data safe while also guaranteeing immutability. of data. To learn more about why enterprise blockchain is the backbone of AI, check out CoinGeek’s coverage of this emerging technology.

    See: Artificial intelligence needs blockchain

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