Content Paint

Opinion

AI, open source and data - the shape of things to come

"In the end, I think we will get something like Wikipedia in the AI space..."

Unleashing automation platforms to transform IT infrastructure management

With event-driven automation companies can move significantly closer to achieving fully automated IT infrastructure management.

best vendor product support

Support is changing. Just as the generational shift from on-premise to cloud revolutionized computing deployment and consumption, it also led to a profound swing away from traditional support models.

Combating hacker dwell time: Why mean time to detect (MTTD) alone can’t be trusted

MTTD, as things currently stand, cannot be relied upon exclusively as a metric to measure the effectiveness of data breach detection.

CISOs must secure AI with Asimov's "Three Laws"

If AI creators use a ‘three laws’ approach, building in security by design, following secure AI guidelines and frameworks, AI may live up to some of the hype...

Why organisations can’t afford to wait on 90-day certificate rules

"This change will multiply the number of certificates organizations need to manage by at least five times..."

The race for quantum-safe cryptography

Financial transactions, medical records, and national security secrets. The cornerstones of our digital world are closely safeguarded by intricate cryptographic systems. These systems, which have been the backbone of our digital security for decades, are integrated into every aspect of our lives. However, as we inch towards the era of

Opinion: Why monoliths are not always "bad" even in a cloud-native world

"I’ve heard people balk at the suggestion of this mixed approach, because they don’t deem it feasible to convert monoliths to microservices later in the application’s lifecycle..."

How developers can build cost-effective AI models

The idea of ‘data-centric AI’, posits that we must focus on data quality over quantity. As our algorithms have progressed, and we have access to incredible open-source LLMs to train our own models, it’s time to focus on how we engineer the data to build cost-efficient models...

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