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Tackling model drift in Machine Learning | Romina Sharifpour on Engati CX

Podcast |: Engati CX
Publisher |: engati
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Business,; Interview,; Technology
Categories Via RSS |: Technology
Publication Date |: Dec 15, 2020
Episode Duration |: 00:22:29

https://www.engati.com/ Engati is the world's leading no-code, multi-lingual chatbot platform. https://open.spotify.com/show/3G0uQwPnQib22emRi9VhUg Blog link: https://engati.com/blog | Subscribe now.

Check out CX Community page - https://www.engati.com/cx-community And CX Content page - https://www.engati.com/cx-content

Romina Sharifpour, AI/ ML Solutions Architect at Amazon Web Services (AWS) talks about the problems faced because of mainstream machine learning and the concept of model drift and Democratisation. She also throws light on the advancements In deep learning and that has affected everyone who has access to data that leads to increase in competition.

Follow us on Facebook: http://s.engati.com/157 LinkedIn: http://s.engati.com/158 Twitter: http://s.engati.com/156 Instagram: https://www.instagram.com/getengati/

#EngatiCX #digital #CX #tech #GPT-3 #machinelearning #democratisation #AI"

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