December 13, 2018 by Siobhan Climer
Businesses can’t operate without data centers, and – up until now – data centers couldn’t operate without the manual processes employed by IT professionals. Infrastructure management isn’t a 9-5 job, and the problems stack up as the number of applications grows. The IT team is historically responsible for ensuring infrastructure administration. The trouble is that infrastructure is getting bigger. High-capacity storage, multiple locations that span on-prem, private cloud, and public cloud environments, and improved performance specs only add to the complexity of infrastructure management.
That’s where the AI behind HPE InfoSight  comes in. While HPE InfoSight is not new, and in fact began as HPE’s recently acquired Nimble Storage InfoSight, increased functionality and developments in machine learning make it a better-than-ever tool for the data center.
What’s That? HPE InfoSight Offers Cost Controls To Infrastructure
Infrastructure management has long been a cost center for business, and for good reason. The applications powered by the data center are vital to business continuity. Whatever industry you’re in, whatever your business model, the applications you use need to be reliable, available, and perform well for you and your customers. Unfortunately, the increasing number of applications recent research respondents report running – 45% of enterprises reported 500+ business applications – means increased costs in terms of head count, monitoring tools, data mining, and improving infrastructure agility.
The Artificial Intelligence employed by the HPE InfoSight predictive analytics platform is shown to affect infrastructure costs in a myriad of ways:
- 79% lower IT operational expenses
- 73% fewer trouble tickets
- 85% less time spent resolving storage-related trouble tickets
- 69% faster time to resolution for events that necessitate level 3 support 
Businesses that utilize HPE InfoSight are not only able to reap these tangible results, but they are then able to reinvest those cost-savings into strategic IT management.
How The AI Does It
The way HPE InfoSight provides these benefits is through the machine learning applied to the artificial intelligence powering the tools behind-the-scenes. While people and traditional monitoring tools operate within a slim timescale view, AI can learn from others, move across silos, and use machine-learning algorithms to pull from history and predict the complexity – and ambiguity – of the future. That means the data center is optimized for performance.
The heart of HPE InfoSight is the predictive analytics engine that compiles data from millions of sensor data points. That data is then used by the AI to predict likely issues and optimize infrastructure. In fact, HPE InfoSight predicted and prevented a serious situation that arose from an issue with a network VIC card in the host. They were then able to find a solution, identify susceptible customers, and apply a workaround – all before the problem impacted customers. That’s the power of prediction.
New To HPE InfoSight: Extensions to HPE ProLiant, HPE Synergy, and HPE Apollo
HPE InfoSight continues to add new functionality; this time, it’s servers. These changes are focused on optimizing the performance and predictive analytics of iLO 4- and iLO-5 based ProLiant servers, Apollo systems, and Synergy compute models. By combining cloud-based machine learning with Active Health System (AHS), HPE InfoSight can offer visibility into the status and health of your infrastructure – no matter where you operate – all in one platform. The heart of HPE InfoSight is simplifying infrastructure management, and these new changes promise to do just that.
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About The Author
Siobhan Climer, Science and Technology Writer for Mindsight, writes about technology trends in education, healthcare, and business. She previously taught STEM programs in elementary classrooms and museums, and writes extensively about cybersecurity, disaster recovery, cloud services, backups, data storage, network infrastructure, and the contact center. When she’s not writing tech, she’s writing fantasy, gardening, hiking, and exploring the world with her twin two-year old daughters. Find her on twitter @techtalksio.