
Myth buster: More data is not always better
Too many data scientists still think that the answers are always improved by putting in more data
Too many data scientists still think that the answers are always improved by putting in more data
Changes are afoot in the way supercomputers are designed and built, opening them up to a new range of use cases
EU regulations on AI are well-meant, but will hamper the region's ability to compete with China and the US
Teams must manage more complex environments, higher risks, larger volumes of data, and with fewer resources
The demand for subsea cables will soon exceed capacity
This year we will see legislation on the use of facial recognition
The next logical step for HCI to continue accelerating its evolution is to move to the edge of the network
This emergence of AI as an operational component of businesses across industry verticals poses a specific challenge for IT operations teams
A primer on AI applications and their uses
Let's cut through the hype: what can AIOps do to help IT teams perform their mission
An effective IT organization can lead the way for organizations seeking broader use of AI, by adopting seven lessons from the HPC focus on system-level thinking
Artificial intelligence’s potential in the data center is nearly limitless, and we’ve only been able to focus on a few areas where it will bring transformational benefits
This is not about allocating billions of dollars to overhaul the way our government runs
Despite the US-China trade war, and security fears, we may find ourselves using Chinese technologies in our data centers
The emerging science of precision medicine uses patient data to provide personalized healthcare insights where doctors can not
Can AI and machine learning save the data center from extinction?
Having fundamentally changed enterprise IT itself, the cloud is starting to change how businesses operate
As long as organizations know what to do – and what not to do – they can begin their AI journeys on firm ground
Reducing the need for human intervention means that IT workers can dedicate more time to strengthening their own security efforts
With AI, data centers are automating operations in new and innovative ways to improve the health and performance of their facilities while reducing downtime
The physical and online worlds are creating a Big Data Universe that offers tremendous insights and advantages, but demands a step-change in compute performance to unlock the value in the data
A highly automated data center requires accurate data about the network itself to learn and implement policies correctly
The trend towards larger data center facilities reaches Asia-Pacific
AI is often presented as a universal panacea that can somehow resolve everything
Machine learning is streamlining predictive maintenance
We must be aware of not just the opportunities of new technologies, but the risks