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5 challenges of quantum data levels by 2024!

The volumes of data created and exchanged are increasing exponentially and the world is preparing for a tidal wave …

Europe, the global superpower for enterprise data

If Industry 4.0 creates a value of 3.7 trillion USD by 2025, Europe, one of the main enterprise data centers, is capitalizing on this growth.

Regions with strong connectivity and data-driven industries, create a volume of corporate data and produce a “ data gravity ” effect (pulling more data into the region).

The volume of corporate data created, aggregated, and exchanged between European cities is the largest in the world, surpassing North America. Europe would extend its lead as the global enterprise data superpower in 2024.

Dave McCrory, who coined the term data severity, points out that “Data severity attracts data, but also makes it more difficult to move the data and services that rely on it exponentially. This gives cities with strong industries, such as financial services in London or the complex industrial sector in Frankfurt, a huge advantage, as they naturally attract more data and similar services, and therefore more data and services of the same kind. companies.

London, Amsterdam, Dublin, Frankfurt, and Paris

London, the world’s most powerful center for business data, has a data severity score of 167.05, overtaking New York (79.61) and Tokyo (80.32). The average city-data severity score is 22.64 and 48.45 in Europe.

Four European cities are in the ranking: Amsterdam, Dublin, Frankfurt, and Paris.

Europe has associations of interconnected cities in the world, among them we find London and Amsterdam (1st globally), Paris and London (2nd), Frankfurt and Paris (5th), London, and Frankfurt (6th), and Dublin and London (10th).

The challenges of quantum data levels

With increasing amounts of corporate data, cities are overwhelmed by volume. By 2024, all Forbes Global 2000 companies will have accumulated enough data and will need access to quantum computing.

What are the 5 challenges for companies?

  • Limited innovation

Inability to effectively process corporate data will hold back technological advances

  • Mixed customer and employee experiences

Generating too much business data will result in inefficient data processing and a negative customer experience

  • Increased costs

Producing more data will result in investment to capture, manage and process it

  • Conformity

An abundance of data will result in organizational challenges (regulatory and compliance)

  • Security

More data offer more observations and actions to bad actors Finally, on the side of trends impacting the severity of data, let us retain corporate data administration, mergers, and acquisitions, digital interactions, data localization (storage), cyber-physics (cyber-security).

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