As automation leaders with enterprise organizations, most of your automation programs have already, or are about to hit a mature level of its evolution stage – and are now at the stage of being optimized. As you’re already very aware of, mature automation programs can become outdated or inefficient over time. That said, it’s important to regularly optimize existing automation programs, so to ensure they’re still meeting the needs of the business. There are several business practices and automation tools that can help mature automation programs continue to grow and evolve – so to take mature automation programs to the next level of optimization.

In this session, topics of discussion will include, yet will not be limited to:

Data analytics tools to analyze data, so to identify tasks that might be repetitive, time-consuming, or error-prone

Utilizing such technologies as IDP, process mining, machine learning, NLP to maximize automation usage and business results

Optimizing automation programs by layering generative AI, data analytics, or other automation tools into various automation frameworks