RPA, Cognitive and AI technology is the next frontier for businesses looking to streamline processes, increase productivity and ultimately improve the bottom-line.
The RPA market grew 64 percent to $200 million last year and is expected to grow 70 to 90 percent by 2019 because successful pilot projects are inspiring buyer confidence in the technology, the consulting and research firm reports.
The RPA Conferences features insightful talks by recognized thought-leaders addressing the actual developments and trends in RPA.
Sponsors : Testing Olympiad, UNSW, 1.21GWS insights, CELLSTRAT
Role of ML in RPA and intelligence Automation:
Machine learning models can be inserted into RPA workflows to perform machine perception tasks, like image recognition: tasks that the human brain can perform in a second, whose output can be plugged into a larger flow of business logic. RPA and AI are two horizontal technologies that are distinct in their goals and interfaces.
RPA is a technology that enables the automation of IT applications and highly manual, repetitive processes. Key benefits include faster processes, reduced risks and lower compliance costs.
Machine learning meanwhile, is defined as “the field of study that gives computers the ability to learn by its own without being explicitly programmed.”
RPA and AI technology are both great tools to streamline Business Process Automation, but together they are a force to reckon with. When AI is integrated with RPA, it allows the automation process to begin much faster, creating an automation continuum.
List of Speakers:
- Need of AI to bring greater success and impact for RPA projects.
- How RPA can be integrated with machine learning techniques and AI- an application in financial industry.
- Machine learning models and models industry use cases
- Up-to-date trends in RPA and IA and the potential in integrating RPA with AI.
- Transformation of business processes and operations by leveraging on RPA and IA