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Chatbots: ML Model deployment in Production

Chatbots are now used in every industry known to humans. With the increase in demand, the production of chatbots is likely to be increased. Let's look at how to deploy these models using Machine Learning.


APR
2020

7:30 PM IST

Description

Machine Learning (ML) is rapidly gaining a foothold in every industry, and chatbots are one of the most employed ML models. 80% of sales and marketing leaders state they already employ chatbot software in their customer experience or plan to do so in the near future. As ML engineers, we will need to make our ML models available to a broader audience in the organization or the general public. How do we go about doing the same?

What Will Be Covered
  1. Should we deploy our model on the server or client? 
  2. Tools & techniques which can help deploy ML models. 
  3. How to deploy an ML Model as Chatbot.

Who Should Attend

  • Software Engineers
  • IT Architects
  • Project Managers
  • Business Analysts
  • Domain Experts
  • Professionals and graduates aspiring to become data scientists
Rajeev Kumar

Rajeev Kumar

Rajeev Kumar is a highly optimistic individual that has worked with Fortune 100 clients including Google, IBM, and Disney. With over 22 years of experience in the IT industry, Rajeev has turned his focus for the past 5 years towards Data Science and AI/ML. To this end, he has come up with Data Science and AI/ML backed solutions in various fields, from Fashion to Education. His solutions have saved millions of dollars on costs to his clients. Rajeev is committed to sharing his learnings with enterprises to build Data Science and AI capabilities for their domains to make exponential gains.

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