The Do's and Dont's of building an AI powered website

Considering the vastness to which web applications can grow, and the strong dependence of nearly every other platform for a backend running as a web-based service, it is important for the backend to be well thought of and properly executed. Artificial Intelligence-based applications even in a Proof of Concept stage are often not blazing fast in responding or take a lot of time to train on the new samples. I shall be discussing tips and tricks to make a backend which does not choke under pressure of a production website.

Headings -

1. AI in the Web - Do you see it?
2. Is your AI model fast enough?
3. The Qualification Checklist of an AI backend
4. How to re-design an AI backend to be fast
5. How to update AI models on the production

Anubhav Singh

CTO @ Dynopii Inc., Google Developer Expert in ML & GCP

Kolkata, India

View Speaker Profile

Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.

Jump to top