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ExclusiveMEF predictions: ten key mobile trends for 2014

MEF, the global trade association for companies engaged in mobile content and commerce, has revealed its mobile industry predictions for the next 12 months.

Its forecast combines insights from the group’s Global Board of Directors with research from the recent Global Mobile Consumer Survey.

ExclusiveTop five mobile tech predictions for 2014 from Jasper Wireless

Macario Namie writes:

As the connected car phenomenon gains pace, 2014 will see global automotive firms embracing LTE. Machina Research predicts 90% of cars sold in 2020 will have some form of embedded connectivity – that connectivity roll-out continues strong in 2014 and LTE is pivotal to its long-term success.

ExclusiveLast week at The Fonecast: 16th December 2013

Mark Bridge writes:

HTC experienced a bit of Christmas cheer last week when the threat of a sales injunction against the HTC One mini smartphone and a number of other devices was lifted. Nokia had previously won a patent-related court case against HTC but it seems that a sales ban was deemed too harsh a penalty.

ExclusiveDeutsche Telekom M2M predictions for 2014

Jürgen Hase writes:

Machine-to-machine communication (M2M) and the Internet of Things (IoT) run through all areas of life and work. Cars, cargo containers, parking spaces or even wristwatches and coffee cups – everything around us is on the verge of being connected.

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How AI technology is transforming the smartphone experience
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How AI technology is transforming the smartphone experience

Mark

From improved performance to personalized recommendations, AI is enhancing the functionality and usability of smartphones for users

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Image created via Stable Diffusion 2 from huggingface.co/stabilityai

As the world becomes increasingly connected and reliant on technology, smartphones have become an essential tool for many individuals. From communication to entertainment, these devices have transformed the way we live and interact with the world around us.

One area where AI technology has the potential to make a significant impact is in the realm of smartphone functionality. By incorporating advanced algorithms and machine learning capabilities, AI can help to optimize a smartphone's performance, providing users with a faster, more efficient and user-friendly experience.

One example of this is in the area of battery life. By analyzing usage patterns and identifying common power-draining habits, AI can help to extend a smartphone's battery life, allowing users to stay connected for longer. AI can also help to optimize a smartphone's processing power, allocating resources more efficiently and reducing the likelihood of lag or slowdowns.

Another area where AI can benefit smartphone users is in the realm of personalization. By learning and adapting to a user's individual preferences and habits, AI can provide personalized recommendations and suggestions, helping users to discover new apps, music and other content that they might enjoy.

In addition, AI technology has the potential to improve smartphone security, using advanced algorithms and machine learning to identify and block potential threats. This can help to keep user data safe and protect against malicious attacks, providing peace of mind for smartphone users.

Overall, the incorporation of AI technology into smartphones has the potential to provide a range of benefits for users, enhancing performance, personalization and security. As the technology continues to evolve, we can expect to see even more exciting developments in this area, transforming the way we use our smartphones.

[Mark Bridge generated this article text with GPT-3, OpenAI’s large-scale language-generation model. It was created from a prompt to write "a blog post for a mobile telecoms news website about how your AI technology could benefit smartphone users". The headline and sub-heading were similarly written.]

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