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European Union Announces Top 10 Emerging Cyber Threats

DRI Drive

The European Union Agency for Cybersecurity (ENISA) has released a list of security threats it expects to emerge by 2030, as part of a “foresight exercise.” Cyber threats are top of mind for modern resilience professionals – but what kind of threats are coming in the future, and are you ready for them? While many […].

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DRI Updates Commitment to Sendai Framework for Disaster Risk Reduction

DRI Drive

As a leading resource in disaster recovery and business continuity, DRI International has updated its written voluntary commitment to the United Nations Office of Disaster Risk Recovery’s Sendai Framework 2015-2030. “The Sendai Framework created a shift from managing disasters to managing risks.

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Breakthrough Awards: Health 2030 Genome Center, Our Data Warrior of the Year

Pure Storage

Breakthrough Awards: Health 2030 Genome Center, Our Data Warrior of the Year by Pure Storage Blog For people living with rare and inherited diseases, speed matters. The Health 2030 Genome Center is dedicated to accelerating this process.

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The first anniversary of the Sendai Framework for Disaster Risk Reduction 

Crisis Response Journal

The Sendai Framework was the first 2030 development agreement adopted by governments at the Third UN World Conference on Disaster Risk Reduc Today (March 18, 2016) the Sendai Framework for Disaster Risk Reduction (SFDRR) is celebrating its first birthday.

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The growing need for sustainable hospitals 

Crisis Response Journal

Funding has been pledged to build several new hospitals in the UK before 2030 in what promises to be the biggest programme of hospital building in a generation, according to the UK Government. Ruth Wozencroft of Q-Bital Healthcare Solutions outlines her i By Ruth Wozencroft

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Modern Storage Meets Cyber Resilience: The Rubrik and Pure Storage Solution Architecture for Unstructured Data

Pure Storage

According to projections from UBS , data volumes will reach as much as 660 zettabytesor 129GB per person on Earthby 2030. In addition, IDC reports that an estimated 90% of that data is unstructured or doesnt follow conventional data models, making it harder to store.

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Addressing the Sustainability Imperative in an Evolving World

BMC

Deloitte notes that power-intensive GenAI training and inference continues to grow faster than other uses and applications, estimating that global data center electricity consumption could double to 1,065 TWh by 2030.