Many enterprises have started or are well down the path of exploring the opportunities presented by artificial intelligence, deep learning and machine learning. The result of all of these initiatives is the cognitive era where systems almost appear to think…
Analytics is evolving from big data, machine learning to artificial intelligence. Machine learning is the analysis of data at rest, artificial intelligence (AI) is the analysis of data in real-time. Machine learning is predictive; AI is cognitive. The requirements of…
The one constant in the modern data center is scale. IT professionals are continuously under pressure to add additional servers, virtual machines and containers. With those additions comes the demand for more storage capacity and more storage performance. The storage…
IT professionals need a faster, smarter and simpler storage architecture. Organizations drive this need by deploying more diverse and demanding applications and services. Data is the very lifeblood of an increasing number of organizations. The consumers of this data need…
Artificial Intelligence (AI) and Machine Learning (ML) are becoming mainstream initiatives at many organizations. Data is at the heart of AI and ML. Immediate access to large data sets is pivotal to successful ML outcomes. Without data, there is no…
In theory, organizations can grow and shrink their public cloud footprint on demand. But, the reality is that most don’t, they only scale one-way, up. The typical process is that IT provisions a set of resources for a given workload…
Unstructured data applications are increasingly IO hungry. It’s a problem that impacts not only the High-Performance Computing (HPC) market, but also the traditional enterprise as they start initiatives like Machine Learning, Artificial Intelligence (AI) and Internet of Things (IoT). In…
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