No detailed description available for "Democratizing Artificial Intelligence with UiPath".
Sprache
Verlagsort
Basel/Berlin/Boston
Großbritannien
Zielgruppe
Editions-Typ
Produkt-Hinweis
Dateigröße
ISBN-13
978-1-80181-238-2 (9781801812382)
Schweitzer Klassifikation
Ip Fanny:
Fanny Ip is a thought leader in Automation, Business Transformation, and Innovation. Currently, Fanny is the VP of the Automation Consulting Innovation Office at UiPath and leads a team of experienced management consultants to develop field-tested solutions for customers - from start-up, expand, to scale. Before joining UiPath, Fanny co-led McKinsey's Automation practice in North America and developed automation strategies for CxOs to deliver top-line revenue growth and achieve bottom-line impact. Before automation, Fanny has also led many business transformation projects at PwC Advisory and Deloitte Consulting. Fanny earned a BA in Economics from the University of Chicago and an MBA from the Anderson School of Management at UCLA. Originally from Hong Kong, Fanny resides in Los Angeles with her family.Crowley Jeremiah:
Jeremiah Crowley is a multi-disciplined developer with a wide technical and operational lens. His initial passion for software development and implementation led him to automation and process efficiency. He enjoys working on and solving problems irrespective of size and technology. Jeremiah received his BA in Computer Science from New York University. His work history includes the likes of EY and McKinsey & Company, where he played roles within their Automation and Service Operations practices. He is currently a Director within UiPath's Automation Consulting Innovation Office, assisting organizations drive adoption and scale of automation by managing digital transformation initiatives and developing hyper-automation frameworks and methodologies.
Table of Contents - Understanding Essential Artificial Intelligence Basics for RPA Developers
- Bridging the Gap between RPA and Cognitive Automation
- Understanding the UiPath Platform in the Cognitive Automation Life Cycle
- Identifying Cognitive Opportunities
- Designing Automation with End User Considerations
- Understanding Your Tools
- Testing and Refining Development Efforts
- Use Case 1 - Receipt Processing with Document Understanding
- Use Case 2 - Email Classification with AI Center
- Use Case 3 - Chatbots with Druid
- AI Center Advanced Topics