AIOps startup ScienceLogic has raised $105 million in a venture round that brings its total raised to over $200 million.
Read MoreScienceLogic raises $105 million to grow its AIOps platform
Tag: aiops
AIOps Tools: Dynatrace vs AppDynamics
Both AppDynamics and Dynatrace offer a wide range of features and tools. This means while some tools are ideal for you, you might find many features redundant too. You can take advantage of the tree trial offered by both vendors to get a sense of how they work and see which tool works best for you.
Read MoreReasons we need AIOps
AIOps implementation makes life easier for the IT environment whereby it takes on the various challenges facing the existing system and provides us with all end-to-end report and visibility of our IT environment, and makes any IT team to be proactively respondent to any technical issue that arises.
Read MoreGuidelines for getting started with AIOps
As AI becomes more mainstreamed as a software development approach, enterprise IT operations need to get involved with managing its complexity. The need for AI to help IT operations, AIOps, has accelerated as organizations attempt to incorporate AI systems into their production environments. Tools positioning in the AIOps market incorporate analytics and machine learning to help get the job done. The use of tools in this category is projected by Gartner to grow from five percent of large enterprises in 2018 to 30% by 2023.
Read MoreThe MLOps Turn
Artificial Intelligence (AI) is here to stay, over a decade it has been changing the industries on a very accelerated pace and despite many people, even in technology area, still been skeptical about it and some simply do not like it, there is no way back and now it is time to master it and operate AI/ML with same level of maturity industry have for software development, automating it and integrating it with all IT Eco-Systems — this is the MLOps Turn.
Read MoreAIOps (Artificial Intelligence for IT operations) explained in detail
By embracing AI in business, organizations are being able to optimize time and resources, enabling them to stay ahead of competitors in the marketplace. Increasingly, organizations use AI to prevent unplanned downtime of IT services and, in exceptional cases, to identify and resolve them with maximum effectiveness. The average cost of IT downtime is $5,600 per minute according to Gartner. As a result, companies are looking for ways to avoid these interruptions.
Read More10 top Artificial Intelligence (AI) trends in 2021
Pre-pandemic, artificial intelligence was already poised for huge growth in 2020. Back in September 2019, IDC predicted that spending on AI technologies would grow more than two and a half times to $97.9 billion by 2023. Since then, COVID-19 has only increased the potential value of AI to the enterprise. According to McKinsey’s State of AI survey published in November 2020, half of respondents say their organizations have adopted AI in at least one function.
Read MoreDeloitte: MLOps is about to take off in the enterprise
Deloitte Consulting published a report today that suggests a golden age of AI is in the offing, assuming organizations can implement and maintain a consistent approach to machine learning operations (MLOps). Citing market research conducted by AI-focused Cognilytica, the MLOps: Industrialized AI report from Deloitte notes that the market for MLOps platforms is forecast to generate annual revenues in excess of $4 billion by 2025.
Read MoreTop 20 predictions of how AI is going to improve Cybersecurity in 2021
In 2021, cybersecurity vendors will accelerate AI and machine learning app development to combine human and machine insights so they can out-innovate attackers intent on escalating an AI-based arms race.
Read MoreAIOps role of Testing Experts for successful deployment
t present, artificial intelligence to supervise multiple IT functions, such as performance monitoring, service management, remediating blackouts, etc., is gaining popularity. Hence, it will soon become imperative to get hold of AIOps for ensuring fast-paced software delivery.
Read MoreApplication of AI to IT Service Ops by IBM and ServiceNow exemplifies a trend
The application of AI to IT service operations has the potential to automate many tasks and drive down the cost of operations. The trend is exemplified by the recent agreement between IBM and ServiceNow to leverage IBM’s AI-powered cloud infrastructure with ServiceNow’s intelligent workflow systems, as reported in Forbes.
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