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By Samir Senapati
Your device pings, signaling another tech alert. Before you can address it, two more chime in. We all know the feeling. In today’s digital world, it’s easy to feel overwhelmed by the sheer number of notifications we receive. But what if there was a smarter way to handle them?
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By Raja Shekar Mulpuri
Machine Learning (ML) for Root Cause Analysis (RCA) is the state-of-the-art application of algorithms and statistical models to identify the underlying reasons for issues within a system or process. Rather than relying solely on human intervention or time-consuming manual investigations, ML automates and enhances the process of identifying the root cause.
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By Raja Shekar Mulpuri
There are many instances in our lives where we are stuck in issues and try to understand what caused them. Our initial thoughts are to identify the reason and the cause. We aim to trace the issue back to the origin and try to address them from where it all started. Just like, when we get common cold, we try to figure out where we contracted it. Was it the late-night smoothie or exposure to someone with COVID symptoms? We never know until we figure out.
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By Samir Ranjan
Ever been jolted awake by a midnight alarm because some server decided to take a sudden break? If you’ve been in IT operations, you know this isn’t just about fixing a problem; it’s about understanding and fixing it. Think of a favorite detective show, the detective is not just identifying the culprit, they are aiming to unravel the mystery “who done it?” and understand the motive.
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By Sudhir Shetty
With the recent advancements in technology and online digital services have transformed the way the banks work. Decades ago, banks used to handle everything on paper and the services opted for were very limited. Services were not unified, and account holders were forced to visit the bank even for small number of deposits or withdrawals or just to raise concerns. Today, technology has penetrated almost every industry and the banking sector is no exception to this undeniable reality.
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By Sunil J
“Necessity is the mother of invention,” so here is a quick backstory to understand what brought AIOps into the ITSM landscape In the fast-paced world of Information Technology Service Management (ITSM), staying ahead of challenges and effectively managing complex systems is crucial. As organizations embrace digital transformation and adopt cutting-edge technologies, the volume of data and incidents generated becomes overwhelming for IT teams to handle manually.
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By Ashutosh Pandey
In the dizzyingly complex digital landscape of the 21st century, the notion of customer experience has transcended physical interactions and is now deeply interwoven with online environments. This transformation has brought about many opportunities but also unprecedented challenges. As companies digitize their operations and customer touchpoints multiply, so does the complexity and the scale of systems needed to manage them.
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By Raja Shekar Mulpuri
In recent years, the field of Information Technology Operations (ITOPS) has witnessed a revolutionary transformation with the advent of Generative Artificial Intelligence (AI). This cutting-edge technology has brought about significant changes in how IT operations are managed and has proven to be a game-changer for businesses worldwide. In this blog post, we will explore the revolution of Generative AI in ITOPS, its impact, benefits, and the prospects it holds.
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By Howard Zhang
Artificial intelligence (AI) is one of the hottest topics in the world today, there are so much potential for this technology to help all sorts of Enterprise challenges. HEAL has been a leader in leveraging AI to help IT operations management for years. Our customers include some of the largest banks to the largest telcos in the world, working with them has enabled us to strengthen the AI in our core product to address many of the challenges faced by corporations large and small.
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By Ann Hall
Can it help businesses? Machine learning is an inescapable buzzword for many in the operations sector. Even friends and colleagues tend to make us aware of a new ML tool that may or may not be useful. While there are many ML tools in the market, not all are suitable for every business. Some tools, when tested, struggle to solve basic, everyday use cases. Therefore, when evaluating ML tools, other deeper questions and issues do arise.
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By HEAL Software
HEAL Software Inc. is the provider of game-changing innovation HEAL, the first preventive healing software for IT operations that fixes problems before they happen. Contrary to APM and monitoring tools that send alerts or find the problem sources when an incident occurs, HEAL can recognize "signals" that are leading indicators of future incidents and eliminate factors that can create problems.
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By HEAL Software
This white paper discusses some inherent issues in current AIOps tools and how preventive healing systems are bridging the gaps left by them. Why AIOps tools are not enough How preventive healing systems fill in the gap
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By HEAL Software
This eBook contains 7 tips to help you run your data center smoothly and effortlessly scale while minimizing incidents and operational costs.
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By HEAL Software
False positives waste time, cause alert fatigue, and can be extremely expensive. Any time spent by the ITOps teams on false positives is an avoidable cost affecting the company's top line. False positives lead to alert fatigue. ITOps teams regularly identify it as a cause of overwhelm, so much so that they mentally shut the alerts off. They become desensitized to it and begin to ignore it, consciously or otherwise.
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By HEAL Software
In 2021, having too many monitoring tools doesn't necessarily mean you have 100% uptime. In this ebook, we discuss the gaps in what the industry needs out of an AIOps/APM tool and why current technologies are failing. We will also give a primer on how HEAL bridges these gaps to help you achieve the holy grail of 100% uptime with proactive, preventive AIOps.
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HEAL Software Inc. is the innovator of the game-changing preventive healing software for enterprises known as HEAL, which fixes problems before they happen.
Preventive healing is a new category of monitoring and artificial intelligence for IT operations (AIOps) that preempts outages by acting before they occur and shifting from a break-and-fix model to predict-and-prevent.
HEAL Software Inc.’s preventive healing software supports IT operations by replacing multiple disparate manual IT operations tools with a single, intelligent and automated platform. It’s three-pronged approach focuses on prediction, diagnosis and prevention to eliminate alert fatigue, reduce repair and response times and eliminate over-deployment of resources – meaning IT can focus less on mitigating losses and more on becoming a profit center.
How it works:
- Predictive & Preventive: Detects early warning signals and prevents problems before they happen.
- Collective Knowledge: Learns complex relationships within the entire stack from endpoint to application and infrastructure.
- Situational Awareness: Collects contextual data to ensure responses are coherent and complete.
- Remedial & Autonomous: Finds root cause and rectifies independently.
Recognize and respond to smaller issues before they become outages.