When the cloud was first introduced with Amazon Web Services (AWS) back in 2006, it was far ahead of its time. The idea of pooling computer resources and making them available for anyone over the internet was unprecedented and caused a paradigm shift in enterprise computing. Now, in the modern world, another paradigm shift is taking shape. Artificial intelligence (AI) and machine learning (ML) are set to revolutionize IT service management (ITSM) and IT operations management (ITOM). This will be accomplished through a mix of automation, auditory and visual machine learning, trend analysis and more.
At Trianz, we recognize the immense potential of emerging technologies like AI and ML for enterprises and will work closely with you to integrate these technologies into your infrastructure. After implementation, AI and ML can significantly reduce the administrative burden on your IT department, all while simultaneously reducing the risk of human error.
The benefits of cloud native AI and ML
Though AI and ML are not yet in the maturity phase, being prepared for the future AI and ML developments offer a significant competitive advantage.
By implementing AI and ML into your cloud infrastructure, you will experience benefits like:
AI and ML burst processing – Unlike on-prem infrastructure, the cloud allows you to scale up and down with demand. Many artificial intelligence workloads are high-intensity, low-duration, making the cloud an excellent choice for AI and ML workloads. This allows you to avoid overspending on IT hardware acquisition without sacrificing performance.
Edge processing – AI and ML workloads require low read/write latencies to perform optimally. By performing these workloads in the cloud, you can leverage edge computing, which brings processing hardware closer to the data source. This will reduce your operating costs and allow for more information to be processed in any given time period, thus improving efficiency.
Pre-trained models for accessibility – With cloud-native AI and ML, you can leverage pre-trained operating models. These allow you to take advantage of the benefits of AI and ML without the need for specialized coding or knowledge of infrastructure. You can access these pre-trained models on leading cloud platforms, through Machine Learning on AWS, Cloud AutoML on the Google Cloud Platform and Azure Machine Learning.
AI and ML consulting and implementation services with Trianz
Trianz is a leading AIOps and MLOps consulting firm that has helped hundreds of clients to start leveraging new technology paradigms. We were at the forefront of the cloud revolution and now we are helping our clients implement AI and ML.
We offer a range of AI and ML assessment and implementation services, including:
Candidacy assessment – Before integrating AI and ML into your operations, you need to determine whether they offer any benefit to your business. Once you have identified areas of your business that could benefit from AI or ML, you should prioritize development based on the short-term return on investment (ROI).
Our experts can fully assess your IT operation, identifying suitable candidates for integration with AI and ML tools. It can be tempting to tackle the most significant problems first, but this often results in disruption to business continuity. Instead, we prioritize projects that require minimal development and generate the highest ROI. This allows you to start realizing the benefits of AI and ML quickly, while we work in the background to fully integrate these services in the long-term.
Data lakes – AI and ML software have an insatiable hunger for data. By providing a data lake for your AI and ML tools to reference from, they can become smarter and more efficient over time.
Our experts have extensive experience in big data analytics and this knowledge translates well to AI and ML. By implementing a data lake, we have helped our clients centralize their datasets, improve accessibility and simplify data governance. Since a data lake can house structured and unstructured data, this allows us to eliminate data siloes, while simultaneously integrating AI and ML functionality into your IT operations.
AIOps – Managing your IT operations in the cloud can be a difficult task, requiring new skills and strategies to maximize the benefits. Your business needs high service uptimes to satisfy customers and optimal server configuration to minimize operating costs.
AI can take the guesswork out of your ITOM. Our experts can leverage analytics functionality using AI to automate the remediation of low-level service requests. This will reduce administrative workloads for your IT department, giving them more time to focus on new developments. You also benefit from continuous monitoring through AI and ML, allowing you to manage your IT operations in the cloud proactively.
Cloud native AI and ML with Trianz
New computing paradigms will continue to evolve but AI and ML are here to stay. There is immense potential for these technologies and developers have just begun to scratch the surface. We can help you get ahead of the competition and start experimenting with these groundbreaking new technologies. Once AI and ML become more mature, your enterprise will have a distinct competitive advantage.
Many enterprises are yet to reach the cloud. Go one step further and leverage cloud-native AI and ML with Trianz.