CIO OPINION
Enterprise performance dependent on latency and visibility
The biggest challenge for enterprise performance management today is not data scarcity but data deluge. And while enterprises struggle with fragmented systems across on-premises, cloud, hybrid environments, consolidating this data into a single view is essential but complex. Even the best observability tools can be challenged if the underlying connectivity is weak. Top executives from Mindware, NETSCOUT, Oracle, Riverbed, SoftServe share their insights.
Recent trends in managing enterprise performance have centred around the integration of AIdriven analytics, real-time monitoring tools, and predictive modelling. Organisations have increasingly adopted observability platforms that combine metrics, logs, and traces into a unified view, enabling proactive issue detection and performance optimisation.
Cloud-native infrastructure has also played a significant role, allowing enterprises to scale dynamically and align resources with performance objectives. In addition, digital twins and automation have emerged as strategic innovations, offering decision-makers simulation capabilities and faster insights.
Observability tools have enabled teams to detect anomalies early, improving service quality and customer satisfaction.
“ The overall benefit includes stronger governance, reduced risks, and improved cross-functional collaboration – all of which contribute to more resilient and agile IT environments,” says Mostafa Kabel, General Manager Solutions and Services, Mindware.
One of the leading trends in enterprise performance management is the shift toward automation, which enables IT teams to streamline their operations and reduce time spent on manual troubleshooting.
“ There is also a trend toward extending visibility across increasingly complex digital environments, like cloudnative and Linux-based infrastructures,” says Emad Fahmy, Systems Engineering Director, NETSCOUT.
High-quality, real-time data has become essential as organisations harness AI for predictive analytics and proactive issue resolution.
Proactive monitoring helps avoid costly disruptions, supports compliance, and safeguards corporate reputation. Visibility into network and application performance improves decision-making, optimises resource allocation and strengthens overall IT operations.
Managing and observing enterprise performance provides CIOs and IT administrators with key insights into system health, efficiency, and resource utilisation.
“ The rise of AI now allows IT executives to identify and remediate bottlenecks in real-time, with reasoning models able to autonomously come up and evaluate tens of thousands of responses and their potential outcomes before recommending the best course of action for administrators,” says Mohamed Taha Benssiba, Senior Director and AI specialist, Middle East and Africa, Oracle.
Enterprise performance management is being transformed by AI-driven analytics and real-time observability platforms that deliver instant insights across systems.
“ CIOs are increasingly leaning on predictive intelligence to get ahead of issues before they impact the business,” adds Shaik Asif, Regional Sales Director, Acceleration, EMEA and APJ at Riverbed.
“ When CIOs can see what is happening across the digital estate in real time, they can improve service delivery,
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