Case Study Video: Digital Transformation in Manufacturing: Harnessing AI and Automation to Optimize Business Processes

Topic
Automation
Subtopic
Robotic Process Automation

Cost: Free
Duration: 0.5 Hour(s)
Certification Available: No
Course Level: Introductory
Prerequisites: None
Administered By: UiPath
Description
Discover how Dexcom, a medical device manufacturer, used AI-powered automation products like Document Understanding and Task Mining to save 175,000 hours and streamline their processes. Integration is Lean principles.
What You'll Learn
During this webinar from our 2023 AI Summit, youĂ­ll learn how: - Dexcom used a Pew Matrix to compare automation tools and score them, helping them make the right decisions. - Automation tools such as Task Mining were used to streamline processes, reduce administrative tasks, and improve transaction speeds. - AI-powered automation helps companies improve processes, save time, and increase efficiency. Watch this session to learn about Dexcom's approach to automation and apply their lessons learned to your own organization.

Industry 4.0 Academy Disclaimer

The courses offered in this catalog are a curated collection of learning materials that provide an overview of Industry 4.0. It is designed to provide resources that businesses can use to understand and implement Industry 4.0, covering topics such as technology adoption, data utilization, and workforce development. While some of the course providers may provide a certification, the intent of this website is to provide information on knowledge-building opportunities. RIT provides no certification or degree credit for any of this content.

Some materials are free, while others require a fee. Neither RIT or the Center of Excellence in Advanced and Sustainable Manufacturing (COE-ASM) has received compensation from the organizations that have created and published the course materials. The Industry 4.0 Academy supports a COE-ASM initiative to advance the adoption of Industry 4.0 technologies and practices among manufacturers in New York State and is funded by the New York State Department of Economic Development.