Starting A Successful AIOps Initiative. The challenge is that it’s very easy for AIOps initiative go wrong if the IT team skips over the necessary data considerations.
The application of artificial intelligence (AI) and machine learning (ML) to IT infrastructure and operations (I&O) – known as AIOps – is a hot trend in the enterprise and service provider world and for good reason: it can turbocharge IT operations. Done correctly, AIOps increases IT operational accuracy, agility and efficiency.
For this reason, AI and AIOps are high on many CIO/CISO agendas in financial services, healthcare, retail, manufacturing, service providers, government and other segments.
The challenge is that it’s very easy for AIOps initiatives go wrong if the IT team skips over the necessary data considerations. While AIOps is put into action more on the operational side of IT, the high-quality data it relies upon comes from the IT infrastructure, particularly the network infrastructure. And without that foundation of accurate, precise and consistent input data, the move to AIOps provides little value – and can even lead IT teams astray.
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