Security News > 2024 > March > Advanced AI, analytics, and automation are vital to tackle tech stack complexity
97% of technology leaders find traditional AIOps models are unable to tackle the data overload, according to Dynatrace.
88% of organizations say the complexity of their technology stack has increased in the past 12 months, and 51% say it will continue to increase.
87% of technology leaders say multi-cloud complexity makes it more difficult to deliver outstanding customer experiences, and 84% say it makes applications more difficult to protect.
85% of technology leaders say the number of tools, platforms, dashboards, and applications they rely on adds to the complexity of managing a multi-cloud environment.
"These architectures reflect a growing array of cloud platforms and services to support even the simplest digital transaction. The huge amount of data they produce makes it increasingly difficult to monitor and secure applications. As a result, critical business outcomes like customer experience are suffering, and it is becoming more difficult to protect against advanced cyber threats."
"While many organizations turn to AIOps, they often encounter limited value due to reliance on probabilistic methods, which can be imprecise and time-consuming to implement. To overcome the complexity of modern technology stacks, organizations require advanced AI, analytics, and automation capabilities. By unifying diverse data, retaining its context, and powering analytics and automation with a hypermodal AI that combines multiple techniques, including causal, predictive, and generative AI, teams can unlock a wealth of insights from their data to drive smarter decision-making, intelligent automation, and more efficient ways of working," Greifeneder concluded.