Are you prepared for analytics at scale through AI/ML?
Organisations across sectors are making significant investments in artificial intelligence (AI) and machine learning (ML) to gain business insights from all the data collected through various channels. Implementing AI at scale is the next step. However, the path is not a smooth one. Replicating AI/ML experiments on a large scale requires technical expertise and infrastructure on a large scale too. Moving from pilot projects to enterprise-wide implementation is difficult. However, there is light at the end of the tunnel. Machine Learning Operations (MLOps) is the new discipline that can help organisations overcome most hurdles. MLOps focuses on the organisation’s AI scaling processes, teams and tools in a strategic and integrated manner and guides it to success.
