
로보틱 프로세스 자동화
We’re all familiar with work that suffers from the three R’s – Routine, Repetitive, and Rules-driven actions. Robotic Process Automation (RPA) solutions aim to automate mundane back office work. By replacing full-time equivalent (FTE) hours with machine-based learning, departments like HR, financial services, and call centers can focus on more meaningful and strategic goals.
Learn how organizations use automated machine learning with robotic process automation software.
Learn how organizations use automated machine learning with robotic process automation software.
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로보틱 프로세스 자동화(RPA) + AI
RPA lays the groundwork for enterprise AI and more intelligent applications. If a company has an RPA solution in place, it generally means that they have an automation and data-first mentality and are probably ready to invest in more complex machine learning models to solve their business problems. It also means that their data is ready to be put in a format that can be used for enterprise AI models.
Once an organization has seen the levels of productivity that are possible with RPA and AI, many are eager to embrace more complex use cases and digital strategies.
효율성과 정확성 확보
- 봇을 통해 반복적이고 일상적인 작업 처리 또는 인간 작업 확대
- Automatically collect, structure, and label data that is required for enterprise AI to have utility
규칙 기반 프로세스 향상
- 더 많은 데이터 검사 및 훈련 시 개선 및 향상 가능한 로보틱 프로세스 지능 제공
- 작업자 성과를 향상하고 운영 위험을 감소하며 대응 시간을 개선
엔드 투 엔드 AI 기반 프로세스 자동화
- 엔드 투 엔드 프로세스 오케스트레이션, 프로세스 애플리케이션 및 모델링
- 인간, 로봇 및 시스템이 하나 되어 정의된 규칙을 뛰어넘는 현명한 결정 도출

RPA에 관한 분석 과제
Robotic process automation companies are able to gather data needed to run predictive models in DataRobot.