Retail chains like Wal-Mart, Giant and Lowe’s are turning to artificial intelligence and robots to help improve customer experiences and assume some of the tedious elements of retail operations.
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.
The rise of AI has brought more hardware to accelerate specific tasks, Our DCF Executive Roundtable discuss whether powerful new AI hardware will bring changes in data center design and operations.
Many of the key trends highlighted by venture capitalist Mary Meeker in her Internet Trends report will boost demand for data centers and cloud computing.
Edge applications will require new thinking, and efficient use of resources. We kick off our “Facets of the Edge” series with a look at how SWIM.AI uses lightweight hardware to power edge AI for real-time traffic management.
The market for artificial intelligence hardware is entering a new phase, as a cluster of startups prepare to bring specialized AI chips to market.
The micro-edge will be networked not just with local resources, but with data centers and cloud facilities around the world. Martin Olsen, Vice President, Global Edge and Integrated Solutions at Vertiv, outlines how 5G and edge computing is contributing to IoT and AI advancement.
For data centers, the evolution and arrival of 5G is crucial to business success – as well as data throughput, edge computing, ultra-low latency, and efficiency. A new report from Vertiv explores 5G use cases that can help your business optimize their applications and better approach machine learning and AI.
New technology can make data center construction faster, cheaper, safer and more inclusive, according to Nancy Novak of Compass Datacenters, who spoke on the topic at Data Center World.
Adoption of smart speakers has grown rapidly over the past year. The rise of voice assistants and voice search is expected to boost demand for processing power and data storage.
Clearly, machine learning can and has been used to achieve greater data center cooling efficiency. While most data centers are not yet equipped to do the same, the theory behind how machine learning can optimize cooling efficiency is fairly well understood. Sabey Data Centers’ John Sasser, Sr. Vice President of Data Center Operations, takes a look at how machine learning presents both challenges and opportunities for today’s data center cooling technology.