The latest News and Information on AIOps, alerting in complex systems and related technologies.
The majority (83%) of employees across industries want their jobs to remain hybrid, Accenture reports. Yet nearly 50% of CIOs feel their cybersecurity initiatives aren’t keeping pace with their digital transformation efforts, according to research by ServiceNow and ThoughtLab. Neither are their cybersecurity budgets. Combining artificial intelligence (AI) and machine learning (ML) for IT operations (AIOps) can help.
Hall of Fame professional wrestler Paul "Mr. Wonderful" Orndorff said of his ascent to become one of the WWE's biggest stars of the 1980s that, "I knew where I wanted to go. I had a plan. I don't care what you do in life, you better have a plan." And for ITOps teams making new plan-or adjusting the sails on their existing ones-it's good to have insights that inform those plans.
At ScienceLogic, we’ve built our customer operations to ensure our customers have an excellent end-to-end customer experience, with a rock-solid plan for improving our customers’ ability to meet and exceed their desired business outcomes. And well, we must be doing something right: ScienceLogic has been recognized in this year’s TrustRadius ‘Best of’ Awards—through our customer’s direct feedback.
Artificial intelligence for IT Operations (or AIOps) has been playing an expanding role in helping SREs, DevOps, and developers effectively navigate the challenges around application and infrastructure complexity, pace of change, and data volume that characterize the operations landscape.
