MIT Technology Review underscores importance of AIOps in IT

[Ronak_Chokshi]

Infrastructure management issues are prevalent across the IT industry. MIT interviewed customers, analysts, and IT leaders to understand the challenges they face, and to learn how AI-driven technologies help them address these issues.

I think that by now we can agree that infrastructure complexities and data management are getting out of hand. With storage systems, servers, virtualized software layer (including the container ecosystem), and the plethora of applications that a modern enterprise runs, even keeping the lights on can be challenging. When any of these systems or applications fail to function or face disruption – and disruptions are not uncommon – IT administrators have to scramble to get them back up and running.

Admins aren’t the only ones feeling the pain. As businesses move faster, CIOs should be focused on ways to support this speed and help grow the business. Instead, they often find themselves dealing with basic infrastructure upkeep. Improving IT operations and system performance constitutes an appalling 43% of tasks that CIOs focus on, according to a recent IDG survey. ^[1] It really shouldn’t be this way.

That’s where artificial intelligence (AI) and a trusted platform come to the rescue. An AI-driven approach that is underpinned with collecting telemetry data from infrastructure layers can turn data into predictive insights for IT organizations to act on. Systems supported by HPE InfoSight are designed to automatically act on those well-trusted predictions, making the overall management experience seamless. With AIOps handling routine tasks and optimizing the health of the overall system, admins, IT directors, and CIOs can focus on business priorities: analyzing data, building new applications, and modernizing existing applications.

The question is how do you get started with AI-driven infrastructure, and what specific problems can it solve for your environment?

Putting routine tasks on autopilot

We recently posed those same questions to the team at MIT Technology Review, a world-renowned independent media company. The team interviewed customers, analysts, and IT leaders to better understand the infrastructure management issues prevalent across the IT industry and how AI-driven technologies can address these issues. The resulting MIT Technology Review Insights paper offers an in-depth view of AI and machine learning (ML) technology in real world settings and provides insights into how AIOps supports strategic growth initiatives for various businesses.

AIOps technologies are making a substantial difference for IT leaders. Before deploying AIOps, the tasks that seemed to take the most time away from strategic initiatives included manual checks or semi-automated actions, such as constantly having to figure out capacity and performance headroom, paying close attention to an ever-growing list of alerts, avoiding inter-layer incompatibilities within your IT stack during upgrade cycles, and continuously looking out for infrastructure anomalies and making minor system adjustments – all easily put on ‘autopilot’ in an intelligent, automated, self-healing infrastructure.

In some cases, where the enterprise’s vision for infrastructure aligns closely with HPE InfoSight, IT operations are shifting from infrastructure-centric to application-centric. The underlying AI-driven infrastructure tunes itself automatically and constantly, to accommodate the changing application landscape. It detects anomalies occurring through the infrastructure stack beforehand, so IT organizations can act on the trusted recommendations to avoid disruptions. In these cases, IT leaders look forward to putting infrastructure management on autopilot, allowing them to focus on supporting the business with agility and speed.

Download the MIT Technology Review Insights paper, The AI Promise: Put IT on autopilot to learn:

• What tasks CIOs are focused on
• How AIOps is used today
• Ways AIOps can make infrastructure invisible to users
• How HPE InfoSight increases application performance and uptime
• Tips for getting started

Learn how to get started with HPE InfoSight and see the features it has offered our customers for over a decade. Ready to try HPE InfoSight out in your envirnoment? It's easy.  

¹ Source: IDG’s “State of the CIO 2022,” based on a survey of 985 IT leaders and 250 business executives

---

Ronak Chokshi
Hewlett Packard Enterprise

twitter.com/HPE_Storage
linkedin.com/showcase/hpestorage/
hpe.com/storage

[Ronak_Chokshi]

Infrastructure management issues are prevalent across the IT industry. MIT interviewed customers, analysts, and IT leaders to understand the challenges they face, and to learn how AI-driven technologies help them address these issues.

I think that by now we can agree that infrastructure complexities and data management are getting out of hand. With storage systems, servers, virtualized software layer (including the container ecosystem), and the plethora of applications that a modern enterprise runs, even keeping the lights on can be challenging. When any of these systems or applications fail to function or face disruption – and disruptions are not uncommon – IT administrators have to scramble to get them back up and running.

Admins aren’t the only ones feeling the pain. As businesses move faster, CIOs should be focused on ways to support this speed and help grow the business. Instead, they often find themselves dealing with basic infrastructure upkeep. Improving IT operations and system performance constitutes an appalling 43% of tasks that CIOs focus on, according to a recent IDG survey. ^[1] It really shouldn’t be this way.

That’s where artificial intelligence (AI) and a trusted platform come to the rescue. An AI-driven approach that is underpinned with collecting telemetry data from infrastructure layers can turn data into predictive insights for IT organizations to act on. Systems supported by HPE InfoSight are designed to automatically act on those well-trusted predictions, making the overall management experience seamless. With AIOps handling routine tasks and optimizing the health of the overall system, admins, IT directors, and CIOs can focus on business priorities: analyzing data, building new applications, and modernizing existing applications.

The question is how do you get started with AI-driven infrastructure, and what specific problems can it solve for your environment?

Putting routine tasks on autopilot

We recently posed those same questions to the team at MIT Technology Review, a world-renowned independent media company. The team interviewed customers, analysts, and IT leaders to better understand the infrastructure management issues prevalent across the IT industry and how AI-driven technologies can address these issues. The resulting MIT Technology Review Insights paper offers an in-depth view of AI and machine learning (ML) technology in real world settings and provides insights into how AIOps supports strategic growth initiatives for various businesses.

AIOps technologies are making a substantial difference for IT leaders. Before deploying AIOps, the tasks that seemed to take the most time away from strategic initiatives included manual checks or semi-automated actions, such as constantly having to figure out capacity and performance headroom, paying close attention to an ever-growing list of alerts, avoiding inter-layer incompatibilities within your IT stack during upgrade cycles, and continuously looking out for infrastructure anomalies and making minor system adjustments – all easily put on ‘autopilot’ in an intelligent, automated, self-healing infrastructure.

In some cases, where the enterprise’s vision for infrastructure aligns closely with HPE InfoSight, IT operations are shifting from infrastructure-centric to application-centric. The underlying AI-driven infrastructure tunes itself automatically and constantly, to accommodate the changing application landscape. It detects anomalies occurring through the infrastructure stack beforehand, so IT organizations can act on the trusted recommendations to avoid disruptions. In these cases, IT leaders look forward to putting infrastructure management on autopilot, allowing them to focus on supporting the business with agility and speed.

Download the MIT Technology Review Insights paper, The AI Promise: Put IT on autopilot to learn:

• What tasks CIOs are focused on
• How AIOps is used today
• Ways AIOps can make infrastructure invisible to users
• How HPE InfoSight increases application performance and uptime
• Tips for getting started

Learn how to get started with HPE InfoSight and see the features it has offered our customers for over a decade. Ready to try HPE InfoSight out in your envirnoment? It's easy.  

¹ Source: IDG’s “State of the CIO 2022,” based on a survey of 985 IT leaders and 250 business executives

---

Ronak Chokshi
Hewlett Packard Enterprise

twitter.com/HPE_Storage
linkedin.com/showcase/hpestorage/
hpe.com/storage