Intelligent CIO North America Issue 39 | Page 76

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With AIOps , businesses can identify patterns and anomalies potentially signaling problems in an IT environment . recognise irregularities in data , it may lead to an application crash , resulting in lost sales or times when employees can ’ t work . With companies responsible for more data than ever – which may include sensitive personal information – threat actors are also always on the prowl , hoping to steal this information . Stolen or breached data can result in massive fines and penalties . application , a photograph , a song , a contract , a book . THE combinations are endless .
THE amount of data produced daily is mind-boggling ; each year , these figures grow at an increasing rate . For reference , more data was collected between 2019 and 2021 than in all human history . How could the IT professionals tasked with managing these exploding amounts of data on behalf of their organisations ever be expected to do so effectively ?
Much like the librarians of Babel , how can these modern IT people avoid going insane ?
The stakes for IT professionals are high and coping with exploding amounts of data is a skill set unto itself . Effectively monitoring and analysing this increasing information is critical for companies hoping to remain productive and profitable . If a company cannot
Thankfully , humans are no longer expected to overcome the challenges of analysing , managing and controlling increasing amounts of data alone . Today , the have allies in these endeavors : Artificial Intelligence ( AI ), Machine Learning ( ML ) and AIOps .
AI and ML are powerful solutions transforming how IT professionals manage and analyse data to optimise performance , improve business outcomes and mitigate security risks . Because these technologies process massive amounts of information no human ever could , they help IT professionals optimise IT performance by ensuring applications and services are running properly . This is a particularly tall task today , given that many companies ’ computer systems run in multiple clouds and rely on hundreds of applications to get work done . AI and ML can predict and prevent application or system crashes and outages by automatically analysing key performance metrics . If you ’ ve ever tried to do your job and your computer or software keeps
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