Information Retrieval from unstructured data: Cases using natural text and images
Data Scientist, Digital Workforce
Razieh Ehsani, Elin, is one of the leading Data Scientists at Digital Workforce and has worked a key role at many of our customers to extend business process automation beyond the capabilities of RPA.
Elin received her Master’s in Computer Engineering from the Istanbul Technical University, and her PhD in Natural Language Processing from Isik University in 2018. After working as a Postdoctoral Reseacher at Helsinki University, Elin joined Digital Workforce in 2018 and has worked closely with our Head of AI Gaurav Khullar, developing practical AI solutions for our customers since the beginning of her employment.
In this Business of AI -session, you will learn about the customer cases where linguistic tools have been used to process unstructured data. You will also learn how AI technologies and RPA can complement each other and create more extensive opportunities for business process automation that could be achieved by using any single tool.
Key takeaways from webinar will include:
- How cognitive technologies can be used to tap into new automation opportunities?
- When does it make sense to extend RPA with other cognitive technologies?
- Case studies
- Demos: Using linguistic tools to process unstructured data