Organizations across all industries around the globe are actively integrating machine learning technology into their business operations. MLOps is an effective way to automate machine learning lifecycle. It is a combination of Machine Learning and DevOps.
MLOps serves as a bridge between Data scientists, AI professionals, ML engineers, and other members of the IT operations team and is used to streamline the entire ML lifecycle, right from data collection to model development to deployment.
Do you know, the MLOps market is expected to reach $75.42 billion by 2033 growing at a CAGR of 43.2% (2023-2033), as predicted by market.us? This huge growth indicates how organizations understand the importance of MLOps in successfully integrating ML tools and technologies for their operations.
By automating and standardizing processes, MLOps offers tons of benefits to organizations. However, it has certain challenges to address for successful implementation. If you want to start or advance your AI career in 2025, then an in-depth understanding of machine learning and artificial intelligence is very important.
USAII® brings a comprehensive resource on MLOps to empower you with everything you need to know about this incredible component of AI. Get access to this guide and learn about what MLOps is, what are its various components, the risks and benefits associated with using MLOps, and many more interesting MLOps facts.
Download your copy now and enhance your understanding of MLOps.
