HPE Nimble Storage has broken away from convention and transformed how storage is managed and supported with the
HPE InfoSight predictive analytics platform. HPE engaged ESG to conduct a quantitative survey of the HPE Nimble Storage
installed base, as well as non-HPE Nimble Storage customers, to better assess how HPE InfoSight positively impacts
customer environments. Both HPE InfoSight telemetry data and ESG’s quantitative survey data show that the benefit
delivered to HPE Nimble Storage customers is significant, driving:
• 79% lower IT operational expenses.
• 73% fewer trouble tickets in the environment, which are resolved faster.
• 85% less time spent resolving storage-related trouble tickets.
• 69% faster time to resolution for events that necessitate level 3 support.
• The ability to manage and troubleshoot the entire infrastructure environment from a single, intelligent platform.
HPE InfoSight analyzes millions of sensors every second to predict and prevent problems across the infrastructure stack and transform the support experience. Based on ESG research, the benefits to enterprises stemming from HPE InfoSight are both significant and unique.
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out:
-Top 5 causes of downtime and poor performance across the infrastructure stack
-How machine learning and predictive analytics can prevent issues
-Steps you can take to boost performance and availability
If you work in the service or hospitality industry, you know the business impacts of new legislation are a constant concern. Laws regulating wages, overtime and paid sick leave can affect the bottom line if your business doesn’t comply, and now a new beast is rearing its head. The Fight for Fifteen movement is gaining momentum, pushing for a $15 minimum wage and inspiring lawmakers to explore new legislation designed to improve labor scheduling in restaurants, and in turn, the lives of employees. What does that mean for your business? This eBook will break down what you need to know, from the impacts on owner-operators to ways you can get in front of the issue.
Chilmark Research, a global research and advisory firm, recently released a report rating vendors and solutions in the healthcare analytics industry. IBM Watson Health, a leader in healthcare analytics, has put together this infographic comparing how its solutions stack up against some of the closest competitors in the industry in areas such as population discovery and definition, predictive analytics, cost and utilization, and claims data contribution.
A fundamental people-process-technology transformation enables businesses to remain
competitive in today’s innovation economy. Initiatives such as advanced security, fraud detection
services, connected consumer Internet of Things (IoT) devices, augmented or virtual reality
experience, machine and deep learning, and cognitively enabled applications drive superior
business outcomes such as predictive marketing and maintenance.
Superior business outcomes require businesses to consider IT a core competency. For IT, an
agile, elastic, and scalable IT infrastructure forms the crucial underpinning for a superior service
delivery model. The more up to date the infrastructure, the more capable it is of supporting the
scale and complexity of a changing application landscape. Current-generation applications must
be supplemented and eventually supplanted with next-generation (also known as cloud-native)
applications — each with very different infrastructure requirements. Keeping infrastructure up
Some HR leaders are confidently harnessing the disruptive technologies that will transform the HR function. How ready are you for the digital workplace?
Read this report – which includes insights from HR leaders in some of the world’s most successful organisations – to understand:
the anticipated impact of artificial intelligence and disruptive technologies
the growing importance of the employee experience
the potential of predictive analytics
the changes required in workplace culture and capabilities for successful transformation.
Published By: Dell EMC
Published Date: May 12, 2016
Businesses face greater uncertainty than ever. Market conditions, customer desires, competitive landscapes, and regulatory constraints change by the minute. So business success is increasingly contingent on predictive intelligence and hyperagile responsiveness to relentlessly evolving demands. This uncertainty has significant implications for the data center — especially as business becomes pervasively digital. IT has to support business agility by being more agile itself. It has to be able to add services, scale capacity up and down as needed, and nimbly remap itself to changes in organizational structure.
Aberdeem research has shown that when organizatins harneess the power of Flash, they are able to more effectively implement a digital transformation, build hybrid infrastructures,
and gain increased agility and competitive advantage. In this eBook, we’ll explore how leading businesses can better their future with flash arrays that are Predictive, Cloud-Ready, and Timeles..
The insurance industry boasts some of the most sophisticated modeling capabilities in the world. And yet the average property underwriter does not have access to the kind of predictive tools that carriers use at a portfolio level to manage risk aggregation, streamline reinsurance buying and optimize capitalization.
Forward-thinking enterprises understand what it takes to be successful in this data-rich, increasingly automated economy. According to the Harvard Business Review Analytic Services research report The Rise of Intelligent Automation: TurningComplexity into Profit, sponsored by Oracle, at least 7 in 10 executives understand that predictive analytics (80%) and AI and machine learning (68%) are important for the future of the business.
Even as executives recognize the vital role data plays in their businesses, many are unable to take advantage of the value residing in their data. The old ways of collecting, managing, storing, and analyzing data are no longer effective, and are preventing businesses from extracting potential value. Many simply can’t execute on a data-driven vision.
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