Analytics
Gartner identified the top 10 data and analytics (D&A) trends for 2023 that can guide D&A leaders to create new sources of value by anticipating change and transforming extreme uncertainty into new business opportunities ...
The need for real-time, reliable data is increasing, and that data is a necessity to remain competitive in today's business landscape. At the same time, observability has become even more critical with the complexity of a hybrid multi-cloud environment. To add to the challenges and complexity, the term "observability" has not been clearly defined ...
IT operations is a metrics-driven function and teams should keep score as a core practice. Services and sub-services break, alerts of varying quality come in, incidents are created, and services get fixed. Analytics can help IT teams improve these operations ...
Big Data makes it possible to bring data from all the monitoring and reporting tools together, both for more effective analysis and a simplified single-pane view for the user. IT teams gain a holistic picture of system performance. Doing this makes sense because the system's components interact, and issues in one area affect another ...
IT engineers and executives are responsible for system reliability and availability. The volume of data can make it hard to be proactive and fix issues quickly. With over a decade of experience in the field, I know the importance of IT operations analytics and how it can help identify incidents and enable agile responses ...
Gartner, Inc. predicts that by 2025, 70% of organizations will shift their focus from big to small and wide data, providing more context for analytics and making artificial intelligence (AI) less data hungry ...
The Holiday Season means it is time for APMdigest's annual list of Application Performance Management (APM) predictions, the most popular content on APMdigest, viewed by tens of thousands of people in the IT community around the world for more than a decade. Industry experts offer thoughtful, insightful, and often controversial predictions on how APM and related technologies will evolve and impact business in 2021 ...
Sumo Logic recently commissioned an independent market research study to understand the industry momentum behind continuous intelligence — and the necessity for digital organizations to embrace a cloud-native, real-time continuous intelligence platform to support the speed and agility of business for faster decision-making, optimizing security, driving new innovation and delivering world-class customer experiences. Some of the key findings include ...
Industry experts offer predictions on how APM and related technologies will evolve and impact business in 2020. Part 3 covers more about AIOps, AI and Machine Learning (ML) ...
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 ...
Modern enterprises are generating data at an unprecedented rate but aren't taking advantage of all the data available to them in order to drive real-time, actionable insights. According to a recent study commissioned by Actian, more than half of enterprises today are unable to efficiently manage nor effectively use data to drive decision-making ...
Data modernization and cloud migration are reaching a tipping point among large and medium-sized businesses as many companies double their data footprints once or twice a year, according to a new Deloitte survey ...
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 ...
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 ...
In a post-apocalyptic world, shopping carts filled with items sit motionless in aisles, left abandoned by the humans who have mysteriously disappeared. At least that’s the cliche scene depicted by sci-fi filmmakers over the past two decades. The audience is left to wonder what happened to force people to stop what they were doing and leave everything behind. If this past weekend was any indication, Armageddon begins when Target's cash registers shut down ...
A subtle, deliberate shift has occurred within the software industry which, at present, only the most innovative organizations have seized upon for competitive advantage. Although primarily driven by Artificial Intelligence (AI), this transformation strikes at the core of the most pervasive IT resources including cloud computing and predictive analytics ...
This Thursday EMA will be presenting a webinar — Automation, AI and Analytics: Reinventing ITSM — covering recent research. There were quite a few surprises. And in fact, many of the surprises indicated a yet-more-positive outlook than we expected ...
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 ...
IT and business leaders are often confused about what artificial intelligence (AI) can do for their organizations and are challenged by several AI misconceptions. Gartner, Inc. said IT and business leaders developing AI projects must separate reality from myths to devise their future strategies, and the firm has identified five common myths and misconceptions about AI ...
Augmented analytics, continuous intelligence and explainable artificial intelligence (AI) are among the top trends in data and analytics technology that have significant disruptive potential over the next three to five years, according to Gartner ...
Many enterprises are pursuing a hybrid IT strategy involving integrated on-premises systems and off-premises cloud/hosted resources. This pursuit will create application performance issues stemming from one key area: leveraging the public internet ...
Not surprisingly, organizations will expand the use of cloud services in 2019 for both existing and new applications, further accelerating the migration of workloads from the datacenter to the cloud. With IT staff now becoming more comfortable in the cloud, their concerns about HA and DR will also begin to ease ...
