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Apple Loses Top Spot in China Market with Shipments Down 6.6% in Q1

FILE PHOTO: People look at the new iPhone 15 Pro as Apple's new iPhone 15 officially goes on sale across China at an Apple store in Shanghai, China September 22, 2023. REUTERS/Aly Song/File Photo
FILE PHOTO: People look at the new iPhone 15 Pro as Apple's new iPhone 15 officially goes on sale across China at an Apple store in Shanghai, China September 22, 2023. REUTERS/Aly Song/File Photo
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Apple Loses Top Spot in China Market with Shipments Down 6.6% in Q1

FILE PHOTO: People look at the new iPhone 15 Pro as Apple's new iPhone 15 officially goes on sale across China at an Apple store in Shanghai, China September 22, 2023. REUTERS/Aly Song/File Photo
FILE PHOTO: People look at the new iPhone 15 Pro as Apple's new iPhone 15 officially goes on sale across China at an Apple store in Shanghai, China September 22, 2023. REUTERS/Aly Song/File Photo

Apple lost its crown as China's biggest smartphone seller in the first quarter of 2024 as its smartphone shipments fell 6.6% from a year ago amid intense competition, preliminary data from research firm IDC showed on Thursday.

Honor and Huawei were tied for the top spot, with Honor's market share rising to 17.1% and Huawei's share climbing to 17%, IDC said, while the iPhone maker's market share fell to 15.6%.

The IDC declares a statistical tie when the difference between the share of revenue or shipments between two or more vendors is 0.1% or less.

"Apple's price promotions in the quarter were unable to mitigate the impact of the intense competition from Android players," Arthur Guo, senior research analyst at IDC China said in the report.

Overall smartphone shipments in China rose 6.5% to 69.3 million units, according to IDC.

Earlier this week, data from research firm Counterpoint showed Apple's smartphone shipments in China tumbled 19% in the first quarter of the year, the worst performance since 2020.

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Paris Olympics Expected to Face 4 Billion Cyber Incidents

A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)
A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)
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Paris Olympics Expected to Face 4 Billion Cyber Incidents

A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)
A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)

As the Paris 2024 Olympic Games approach, cybersecurity officials are bracing for over 4 billion cyber incidents. They are setting up a new centralized cybersecurity center for the Games, supported by advanced intelligence teams and artificial intelligence (AI) models.

Eric Greffier, the technical director for Paris 2024 at Cisco France, told Asharq Al-Awsat that the Tokyo 2020 Games saw around 450 million cyber incidents. He added that the number of incidents expected for Paris is at least ten times higher, requiring a more efficient response.

Greffier explained that a single cybersecurity center allows for better coordination and a faster response to incidents.

This approach has proven effective in other areas, such as banking and the NFL, where his company also handles cybersecurity, he added.

The Extended Detection and Response (XDR) system is central to the company’s security strategy.

Greffier described it as a “comprehensive dashboard” that gathers data from various sources, links events, and automates threat responses.

It offers a complete view of cybersecurity and helps manage threats proactively, he affirmed.

The system covers all aspects of the Olympic Games’ digital security, from network and cloud protection to application security and end-user safety.

In cybersecurity, AI is vital for managing large amounts of data and spotting potential threats. Greffier noted that with 4 billion expected incidents, filtering out irrelevant data is crucial.

The Olympic cybersecurity center uses AI and machine learning to automate threat responses, letting analysts focus on real issues, he explained.

One example is a network analytics tool that monitors traffic to find unusual patterns.

Greffier said that by creating models of normal behavior, the system can detect anomalies that might indicate a potential attack. While this might generate false alarms, it helps ensure that unusual activity is flagged for further review.