Adnan Al-Khatib, Principal Product Manager, Stream.io
Building greenfield Machine Learning systems is difficult. Most examples of successful NLP-based products are of systems that incrementally improve upon non-NLP based systems in quantifiable ways. How do we identify opportunities to build revolutionary Machine Learning products that provide value to customers in ways that aren't possible outside the realm of AI? And how do we quickly validate, develop and deliver such products?
