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Businesses have also seen their reputations take a hit due to these costly moments.

The statistics paint a grim picture.

3/ Without adequate visibility, companies are experiencing 76 disruptions per month on average.

4/ 75% of respondents said IPM would have a significant or large positive impact on their business.

The growing dependence on AI-driven applications is shining a spotlight on the need for proactive monitoring against downtime.

The February 14th ChatGPT outage impacted bothChatGPTservice and its customers who were running GPT-based chatbots through an API.

Monitoring AI dependencies will be critical to all businesses, from startups to enterprises.

Co-founder and CEO of Catchpoint.

During the outage, users experienced delays and sluggish performance across the various Adobe services.

The failure within Adobe’sinfrastructurehad far-reaching consequences, impacting businesses and users dependent on Adobe services for day-to-day operations.

On top of that, Adobe risked incurring Service Level Agreement (SLA) violations for millions of customers.

An SLA sets a definite timeframe in which tickets must be answered or chats and calls picked up.

If they are not answered or picked up within the specified timeframe, an SLA Violation occurs.

Customer loyalty may also be tested.

So, how can businesses better navigate the risks and create a robust path to Internet resilience?

Unlike traditional applications, AI-driven systems often operate autonomously, making split-second decisions based on vast amounts of data.

Predictiveanalyticsand AI-driven anomaly detection play pivotal roles in preemptively identifying potential issues before they disrupt end-user experiences.

Yet, achieving early detection can prove challenging.

We feature the best online grid monitoring tool.

The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.

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