Can voice assistants play a role in the data center? Bill Kleyman argues that they can, and says data center managers are intrigued about the possibilities for voice technology.
Insights: Machine Learning and Artificial Intelligence
Machine learning and artificial intelligence have arrived in the data center, changing the face of the hyperscale server farm as racks begin to fill with ASICs, GPUs, FPGAs and supercomputers. The race to leverage machine learning is led by the industry’s marquee names, including Google, Facebook and IBM. As usual, the battlefield runs through the data center, with implications for the major cloud platforms and chipmakers like Intel and NVIDIA.
Natural language processing (NLP) is a type of artificial intelligence that allows machines to understand meaning behind various speech processes. Bill Kleyman looks at considerations in using NLP in your IT operations.
By 2025, “smart” will become the new normal, according to IDC. In the age of smart devices and applications, interactions with data – and data centers – will become a part of everyday life.
Demand for data center services is being fed by streams of data from a wide variety of emerging technologies. In our Data Driven series, Data Center Frontier is examining emerging technologies that are generating large volumes of data, and how their growth will impact data centers.
Artificial intelligence (AI) is becoming part of our everyday lives. Bill Kleyman looks at the architecture behind AI, and how you can tap its power to solve IT problems and improve your business.
Artificial intelligence (AI) is being deployed in everything from manufacturing to medicine. AI will likely boost demand for cloud and data center services, as companies provision storage and computing power to analyze that data.
The Internet of Things is changing the way we live and do business, from developments with smart cities, to connected cars and more. Here’s a look at the latest IoT trends and how they are impacting the data center industry.
At its Build conference, Microsoft said Project Brainwave, its deep learning acceleration platform harnessing Intel FPGAs, has been integrated with Azure Machine Learning for the cloud as well as edge computing.
Data center rack density is trending higher, prompted by growing adoption of powerful hardware to support artificial intelligence applications. Some industry observers see a growing opportunity for specialists in high-density hosting.
NVIDIA today introduced beefier new GPUs, along with a new interconnect fabric to accelerate workloads, and an initiative to extend machine learning capabilities to smartphones and Internet of Things (IoT) devices.