AI startups: When AI enters the clinic and meets real clinical constraint

Healthcare has become one of the most persuasive ...

The intelligence problem AI has been avoiding

Artificial intelligence has scaled faster than its own ...

The hidden limits behind modern compute scale

AI infrastructure is being constrained not by software ...

AI startups: Where AI meets industrial reality

Artificial intelligence is being forced into environments where ...
News

The battle for AI is shifting from models to the silicon beneath them

The next phase of artificial intelligence competition is increasingly being defined not by software alone, ...

The future of AI may depend on how machines learn from the real world

Artificial intelligence has advanced at extraordinary speed in the digital domain, but its transition into ...

Enterprise AI confronts its trust problem as analytics moves inside the model

Alteryx has introduced a new AI Insights Agent on the Google Cloud Marketplace, embedding governed ...

AI infrastructure is forcing a rethink of how electricity grids maintain stability

ABB and VoltaGrid have extended their collaboration on data centre power systems, underlining how the ...
Features

AI startups: When AI enters the clinic and meets real clinical constraint

Healthcare has become one of the most persuasive arenas for artificial intelligence, but also one ...

The intelligence problem AI has been avoiding

Artificial intelligence has scaled faster than its own understanding of how intelligence forms. The result ...

The hidden limits behind modern compute scale

AI infrastructure is being constrained not by software or silicon, but by the physical systems ...
Comments

How intelligent power management helps CIOs do more with less in the race to net zero

As organisations race towards net zero while grappling with rising energy demand, power management is ...

Why edge computing forces a rethink of cooling strategy

Matt Thompson, Managing Director, Airsys, argues that edge computing is exposing the limits of cooling ...

Still trying to catch your breath in 2025 Just wait until 2026

Acceleration is no longer a phase but a permanent condition for the data centre industry, ...
Podcast

Episode 28: The trust gap is the real AI bottleneck

In this episode of Into The Madverse, Mark Venables speaks with Daniel Meyer, Chief Technology Officer at Camunda, about why AI in regulated industries fails at scale when enterprises cannot prove what the system did, why it did it, and who stayed accountable.

Episode 27: Why trusting one AI model is the biggest risk

In this episode of Into The Madverse, Mark Venables speaks with Matt Penton, Director of Data & AI at BIP Group, about why relying on a single large language model is a fundamentally flawed strategy for enterprise AI. They explore multi-LLM consensus, agentic supervision, bias, hallucination.

Episode 26: The control room is asleep, and AI is about to wake it up

Mark Venables is joined by Sean Grimm, US Country Manager at Ipsotek, to explore why security control rooms remain stuck in passive monitoring despite massive investment in surveillance. They discuss how AI is turning video into proactive intelligence.

Podcast

Episode 28: The trust gap is the real AI bottleneck

In this episode of Into The Madverse, Mark Venables speaks with Daniel Meyer, Chief Technology Officer at Camunda, about why AI in regulated industries fails at scale when enterprises cannot prove what the system did, why it did it, and who stayed accountable.

Magazines
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