About the webinar
Documents come in different shapes and sizes - From technical documents, customer support chat, emails, reviews to news articles - all of them contain information that is valuable to the business.
Managing these large volume data documents in a traditional manual way has been a complex and time-consuming task that requires enormous human efforts.
In this webinar, we will discuss how Machine learning can be used to identify and automatically label news articles into categories like business, politics, music, etc. This can be applied in another context like categorizing emails, reviews, and processing text documents, etc.
What you will learn
How businesses are leveraging document classification to their advantage
Best practice to automate machine learning models in hours not months
Demo: Classify news articles into the right category using convolution neural network
Speaker(s) & Panelist(s):
Co-founder and COO at Skyl.ai
COO & Technology leader with over 20 years of experience in Product development, Artificial Intelligence and Machine Learning business strategy and acceleration. Consultant to Fortune 100 organizations across IT, Telecom, Manufacturing, Healthcare, Construction, Pharmaceuticals, Retail, Biotechnology, Banking and Insurance sectors to deliver business impact.
Lead - Data Science
Extensive experience working at the forefront of innovative projects, building future tech using Machine Learning and Artificial Intelligence.
Bikash Kumar Sharma
Chief Technology Officer at Skyl.ai
CTO & Software Architect with close to 15 years of experience whose passion lies in building great products while enabling others to perform their roles more effectively. Lead at the forefront of innovative projects, building future tech using Machine Learning and Artificial Intelligence.