AIOps
The new App Attention Index Report from AppDynamics finds that consumers are using an average 32 digital services every day — more than four times as many as they realize. What's more, their use of digital services has evolved from a conscious decision to carry around a device and use it for a specific task, to an unconscious and automated behavior — a digital reflex. So what does all this mean for the IT teams driving application performance on the backend? Bottom line: delivering seamless and world-class digital experiences is critical if businesses want to stay relevant and ensure long-term customer loyalty. Here are some key considerations for IT leaders and developers to consider ...
Digital transformation reaches into every aspect of our work and personal lives, to the point that there is an automatic expectation of 24/7, anywhere availability regarding any organization with an online presence. This environment is ripe for artificial intelligence, so it's no surprise that IT Operations has been an early adopter of AI ...
Humans and manual processes can no longer keep pace with network innovation, evolution, complexity, and change. That's why we're hearing more about self-driving networks, self-healing networks, intent-based networking, and other concepts. These approaches collectively belong to a growing focus area called AIOps, which aims to apply automation, AI and ML to support modern network operations ...
IT outages happen to companies across the globe, regardless of location, annual revenue or size. Even the most mammoth companies are at risk of downtime. Increasingly over the past few years, high-profile IT outages — defined as when the services or systems a business provides suddenly become unavailable — have ended up splashed across national news headlines ...
Enterprises depending exclusively on legacy monitoring tools are falling behind in business agility and operational efficiency, according to a new study, Prevalence of Legacy Tools Paralyzes Enterprises' Ability to Innovate conducted by Forrester Consulting ...
More than 92 percent of US respondents agree that Artificial Intelligence (AI) and Machine Learning (ML) will become important for how they run their digital systems ...
Progress has been made with digital transformation projects, however technology leaders are finding that running their digitally transformed organizations is challenging and they are under increased pressure to prove business value, according to a survey from New Relic ...
There are some IT organizations that are using DevOps methodology but are wary of getting bogged down in ITSM procedures. But without at least some ITSM controls in place, organizations lose their focus on systematic customer engagement, making it harder for them to scale ...
To better understand the AI maturity of businesses, Dotscience conducted a survey of 500 industry professionals. Research findings indicate that although enterprises are dedicating significant time and resources towards their AI deployments, many data science and ML teams don't have the adequate tools needed to properly collaborate on, build and deploy AI models efficiently ...
The configuration management database (CMDB), along with its more federated companion, the configuration management system (CMS), has been bathed in a deluge of negative opinions from all fronts — industry experts, vendors, and IT professionals. But from what recent EMA research on analytics, ITSM performance and other areas is indicating, those negative views seem to be missing out on a real undercurrent of truth — that CMDB/CMS alignments, whatever their defects, strongly skew to success in terms of overall IT progressiveness and effectiveness ...
If you've followed the evolution of AI, you know that it has the potential to solve a myriad of problems across almost every industry. And if you've followed the evolution of AI-infused management tools aiming to address hybrid IT infrastructure issues, you know that a litany of these tools don't come close to providing a complete solution. Now comes AIOps — Artificial Intelligence for IT Operations — which takes aim at solving the complexity and scale of today's hybrid IT infrastructure ...
Many organizations are unsure where to begin with AIOps, but should seriously consider adopting an AIOps strategy and solution. To get started, it's important to identify the key capabilities of AIOps that are needed to realize maximum value from your investments ...
Organizations that are working with artificial intelligence (AI) or machine learning (ML) have, on average, four AI/ML projects in place, according to a recent survey by Gartner, Inc. Of all respondents, 59% said they have AI deployed today ...
Confidence in artificial intelligence (AI) and its ability to enhance network operations is high, but only if the issue of bias is tackled. Service providers (68%) are most concerned about the bias impact of "bad or incomplete data sets," since effective AI requires clean, high quality, unbiased data, according to a new survey of communication service providers ...
Customer satisfaction and retention were the top concerns for a majority (58%) of IT leaders when suffering downtime or outages, according to a survey of top IT leaders conducted by AIOps Exchange. The effect of service interruptions on customers outweighed other concerns such as loss of revenue, brand reputation, negative press coverage, or the impact on IT Ops teams.
Since digital transformation is happening at such a rapid pace based on new, highly complex technologies like multi-cloud, containers and microservice architectures, customers are experiencing more challenges than ever in managing this complexity. However, with every challenge comes an opportunity. So, how can channel partners leverage these market disruptions to open the door to opportunity? The answer is simple ...
In today's competitive landscape, businesses must have the ability and process in place to face new challenges and find ways to successfully tackle them in a proactive manner. For years, this has been placed on the shoulders of DevOps teams within IT departments. But, as automation takes over manual intervention to increase speed and efficiency, these teams are facing what we know as IT digitization. How has this changed the way companies function over the years, and what do we have to look forward to in the coming years? ...
IT practitioners are still in experimentation mode with artificial intelligence in many cases, and still have concerns about how credible the technology can be. A recent study from OpsRamp targeted these IT managers who have implemented AIOps, and among other data, reports on the primary concerns of this new approach to operations management ...
What if I said that a 95% reduction in the amount of IT noise, 99% reduction in ticket volume and 99% L1 resolution rate are not only possible, but that some of the largest, most complex enterprises in the world see these metrics in their environments every day, thanks to Artificial Intelligence (AI) and Machine Learning (ML)? Would you dismiss that as belonging to the realm of science fiction? ...
One of my ongoing areas of focus is analytics, AIOps, and the intersection with AI and machine learning more broadly. Within this space, sad to say, semantic confusion surrounding just what these terms mean echoes the confusions surrounding ITSM ...
This time last year, we predicted that IT managers were going to move away from the "hybrid data center" and finally realize the reality of the "hybrid application" – and this year, we saw that prediction of an increased focus on applications come to pass, as organizations increasingly made buying and deployment decisions based on the needs of their applications ...
I would like to highlight some of the predictions made at the start of 2018, and how those have panned out, or not actually occurred. I will review some of the predictions and trends from APMdigest's 2018 APM Predictions ...
APMdigest invited industry experts to predict how APM and related technologies will evolve and impact business in 2019. Part 5 covers the evolution of ITOA and its impact on the IT team ...
APMdigest invited industry experts to predict how APM and related technologies will evolve and impact business in 2019. Part 4 covers IT Operations Analytics including Machine Learning and AI ...
