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Thomas LaRock , Solar- Winds Head Geek information , they can also be considered problematic . For example , generative AI tools like ChatGPT and OpenAI Codex are being used to produce text and software code , respectively , directly contributing to a glut of data and information produced daily . crashing , you know how frustrating this can be . With AI and ML , IT pros can improve the performance of these applications and services – which allows employees to work more efficiently .
Imagine being a librarian in Babel and having a virtual assistant read and analyse all the books for you . This would free up time for you to pursue other projects , like decorating the library , training new librarians or signing partnership agreements to franchise the library .
AIOps is a relatively new term Forrester describes as a ‘ practice that combines human and technological applications of AI / ML , advanced analytics and operational practices with business and operations data ’. With AIOps , businesses can identify patterns and anomalies potentially signaling problems in an IT environment . They can quickly correlate vast amounts of data to provide root cause analysis and recommended remediation strategies . With AIOps , IT pros can receive end-to-end visibility – regardless of a company ’ s infrastructure or where they may be on their Digital Transformation journey – and reduce the time spent troubleshooting while improving system reliability .
Though these advanced technologies help people parse and make sense of exploding amounts of
If we stop and think about the impacts of AI and ML , at what point do the means no longer justify the ends ? On the one hand , these technologies enable Digital Transformation efforts by helping IT teams sort through all this information – on the other hand , these tools are simultaneously creating a never-ending flow of more information to process .
Imagine this as an almost infinitely large data stream constantly growing longer and longer . Try not to get dizzy .
The explosion of data presents significant challenges for IT pros related to managing and analysing today ’ s complicated IT environments . However , AI , ML and AIOps are transforming how IT professionals work , enabling them to automate tasks , detect security threats , optimise performance and make better decisions based on data analysis .
All organisations looking to implement these tools must do so with clear human oversight and boundaries . In the Library of Babel scenario , though AI tools could search through every possible book far faster than a human could , they still wouldn ’ t be able to ‘ think ’ for themselves like humans can . AIOps isn ’ t a replacement for the work needing to be done . Instead , we should view it as an aid in understanding the information we can ’ t possibly read through – even over a thousand lifetimes . p
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