Traditional trade finance involves potentially millions of data elements contained in paper documents, issued and handled by numerous firms and often scanned into digital images of varying quality. Humans then need to extract the data these documents contain.
The requirement for quicker decision-making means modern businesses must help employees and customers find information and complete tasks faster. IBM’s Watson Discovery provides a cognitive search solution that enhances human intelligence by using AI technologies such as natural language understanding, machine learning, and deep learning to sort through mountains of semi structured data to find specific information.
Join iTnews and IBM experts to explore how you can:
1. Find actionable insights from your semi-structured data, faster
2. Build a system that integrates with conversational AI to find answers to your questions
3. Add a cognitive search and content analytics engine to your applications
4. Teach the language of your domain/company to the AI solution
This webinar is facilitated by Brad Howarth, iTnews and you will hear from Josh Hong, Technical Lead, IBM Cloud, IBM Project Executive on TradeAI Project. We will also be joined by Karan Sachdeva, Director - IBM Watson and AI Applications, IBM Asia Pacific and Suhas HG Solutions Architect, Data & AI Expert Labs who will share their insight.