Data storage quicker than a flash, large enough to make servers think Got DRAM Intel makes this possible

Sponsored Flash memory has given a welcome boost to enterprise storage over the past decade or so, allowing applications to overcome the limitations of spinning disk storage systems. This has enabled common enterprise workloads such as databases, business intelligence, and online transaction processing to get faster access to data and deliver increased productivity.But there are signs that this may not be enough for much longer, as the demands of applications such as big data analytics continue to grow, and new and emerging workloads place further demands on storage infrastructure. Can new technology approaches, such as storage class memory, provide the answer?Workloads are now starting to infuse techniques such as AI and machine learning. These may not be widely used in enterprise applications at the moment, however, their use is projected to grow in future, especially when used in combination with other techniques, such as data analytics.In a report [PDF] from Deloitte Insights in 2018, 82 per cent of early adopters of enterprise AI said they had already seen a return on their investments. Nearly 60 per cent said they were seeking to adopt technologies such as machine learning and natural language processing by embedding them in enterprise software systems, such as CRM or ERP installations.There is uptake sector by sector. For example, healthcare professionals are looking at using machine-learning techniques to offer patients a speedier and more reliable diagnosis of health conditions, by analyzing huge volumes of medical imaging scans, for example. A June 2019 report by Broadbridge Financial Solutions, meanwhile, found growing interest in a range of scenarios with AI for data mining, post-trade processing, market analytics, and trading systems.