Robotics Process Automation (RPA), Machine Learning (ML) and Artificial Intelligence (AI) are no longer buzzwords and concepts.
As technology advances and the applicability of various scenarios grow, treasury and the larger finance organization find themselves in a new position: how to take advantage of tools and technology driving greater efficiency while, at the same time, focusing on core, valued activities.
In this guide, you will learn to identify opportunities, use cases and how to select the right tools among automation, machine learning and artificial intelligence tools and solutions, including:
- What are the main components and technologies behind RPA, ML and AI
- Potential benefits of RPA and machine learning
- Impactful use cases and success stories using automation and ML/AI
- Developing the business case for RPA and ML
- Key lessons learned from these recent projects
- Staying ahead of business trends and a look forward to ‘Real-Time Finance’
The future of treasury automation is here today; learn about how other companies have applied digital technology and reaped benefits and value by downloading this guide now.
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