Building a Smarter Las Vegas: How AI and Machine Learning Are Revolutionizing the City’s IT Systems
The city of Las Vegas is at the forefront of a technological revolution, leveraging artificial intelligence (AI) and machine learning to create a more efficient and responsive IT infrastructure. This ambitious project aims to transform Las Vegas into one of the nation’s leading intelligent cities, with a sophisticated network of interconnected systems that can detect and respond to issues in real-time.
AIOps: The Key to Unlocking Efficiency
At the heart of this initiative is the AIOps (Artificial Intelligence for IT Operations) platform, which combines big data and AI or machine learning to enhance and partially replace a wide range of IT operational processes and tasks. According to Gartner, AIOps will revolutionize the way IT operations are managed, enabling faster problem-solving and reduced downtime.
FixStream’s AIOps Platform: A Game-Changer for Las Vegas
Las Vegas has partnered with FixStream, a leading provider of AIOps solutions, to deploy their platform across the city’s IT infrastructure. This cutting-edge technology applies to both traditional IT environments, such as Oracle Corporation’s systems, and cloud-based services like ServiceNow. By leveraging FixStream’s AIOps platform, Las Vegas aims to locate problems before they cause system failure, reducing downtime and improving overall efficiency.
A Conversation with Michael Sherwood
Michael Sherwood, Las Vegas’s technology and innovation director, is enthusiastic about the potential of AIOps to transform the city’s IT operations. “When a hardware or software system fails, we want to know how quickly we can solve the problem,” he explained. “With AIOps, we’re not going to allow the system to be paralyzed for several hours. We need to resume operation as soon as possible.” Sherwood believes that AIOps has the potential to be extended beyond business-critical systems to cover the city’s network infrastructure and smart city components, such as traffic signals.
How AIOps Works
FixStream’s AIOps platform uses machine learning to associate different data resources, equipment, and applications, identifying patterns and anomalies to predict when and where failures may occur. The platform can be run locally or in the cloud, automatically discovering the IT environment and creating a topology of the entire infrastructure. By analyzing this data, the platform can predict potential failures and alert IT teams to take action.
AIOps: A Growing Trend
While AIOps is still in its early stages of maturity, it is gaining traction in the IT industry. According to Gartner research director Charlie Ridge, AIOps is being adopted by companies like CA Technologies and Splunk, and government agencies are starting to take notice. Ridge recommends a four-stage approach to adopting AIOps: establishment, reaction, preview, and extended phases, each building on the previous one to achieve greater efficiency and maturity.
Conclusion
Las Vegas’s ambitious project to build a smarter city using AI and machine learning is a testament to the power of innovation and technology. By leveraging AIOps and other cutting-edge solutions, the city aims to create a more efficient and responsive IT infrastructure that will benefit its citizens and businesses alike. As AIOps continues to grow in popularity, it will be interesting to see how this technology evolves and shapes the future of IT operations.