Artificial intelligence (AI) is reshaping the modern business landscape, and the Middle East is poised to transform into a global AI hub. According to PWC, it’s estimated that AI could contribute up to $15.7 trillion to the global economy in 2030, with a US$320 billion impact of AI for the Middle East. In the wake of the fourth industrial revolution, governments and businesses across the Middle East are beginning to realise the shift globally towards AI and advanced technologies.
Instead of revolutionising manufacturing processes, AI is transforming IT operations thanks to automation and streamlined processes. Artificial intelligence for IT operations (AIOps) leverages the vast capabilities of AI to perform repeatable tasks without the need for human involvement. It becomes rooted in IT operations and alerts IT teams of important network issues to be addressed further, saving time and labour so teams can spend more time repairing and less time diagnosing. For example, user experience data can be extracted and leveraged to assist product owners in managing key websites or applications to benefit customers, leading to increased retention, satisfaction, and revenue.
AIOps Is revolutionising the modern business landscape
With the power of AIOps, IT teams can take their observability and cybersecurity efforts to the next level. While reducing the need for human involvement, AIOps powers automation that increases the bottom line and makes teams more efficient by freeing up monitoring time to be leveraged for issue resolution. With the automation of AIOps, traditional IT methods are being left in the dust, especially as the skilled personnel pool becomes smaller and smaller.
Powerful AIOps can solve and simplify many business problems. Using an adaptive modeling approach to AIOps enables companies to:
- Automate root cause analysis, minimising service disruption time with lower headcounts
- Prevent service disruptions thanks to continuous monitoring, analysis, and correlation of data from the network
- Continuously analyse how customers use digital services, leading to data-driven updates to improve user experience and loyalty
- Assess the efficacy of deployment architectures when extending to the edge of their network while maintaining a strong security posture
- Better meet environmental, social, and governance (ESG) goals by understanding how much power applications waste and reducing noise created and energy consumed
The power of data
Actionable data is the best fuel for the AIOps engine. With curated telemetry data, AIOps platforms can be properly trained and deliver actionable insights to expedite responses to IT and security issues. This reduced mean time to repair (MTTR) helps improve user experience, security, and application availability with less human interaction.
Better data allows AIOps platforms to become both reactive and proactive. This efficiency of automation is characterised by reduced costs, faster response times, and improved confidence in AI models and capabilities.
AI Is the future, but skills will be required
Automation powered by AI/machine learning looks to be the future of networking and network security, but it will take powerful data and close supervision to train the models to consistently provide correct outputs. An IT team is only as good as the information it receives, and AI outputs are just as reliant on quality data. To do this, employees will need to be re- or upskilled in fields such as algorithm training to ensure the right outputs of information. Organisations will need to ensure they leverage the right solutions to collect, process and send curated data feeds to the AIOps platform, elevating its capabilities and allowing teams to solve problems faster. With the right resources, AI is set to revolutionise the Middle East, helping it to realise its growth ambitions.
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