Redis as an Online Feature Store | Tecton


Redis as an Online Feature Store

apply(conf) - Apr '21 - 10 minutes

Feature stores are becoming an important component in any ML/AI architecture today. What is a feature store? - In a nutshell, the feature store allows you to build and manage the features for your training phase (offline feature store) and inference phase (online feature store) to ensure the highest model quality. In recent months, more and more companies have chosen Redis to be their online feature store. In this session, you will learn about the importance of the feature store in your ML/AI stack, and how you can better leverage Redis and Redis Enterprise to improve the quality of your models and accelerate your AI/ML inferencing.
Taimur Rashid

Chief Business Development Officer

Redis Labs

Taimur Rashid is Chief Business Development Officer at Redis Labs, where he is leading corporate strategy and emerging businesses with a specific focus on AI/ML. Before Redis Labs, Taimur was General Manager and Head of Customer Success at Microsoft, where he helped build one of the largest cloud-focused customer success organizations in the industry. He led the Cloud Solution Architects focused on Data, Analytics, and AI. Prior to Microsoft, he was responsible global business and market development at Amazon Web Services (AWS) for ~10 years where he was one of the founding members of the AWS Developer Relations team, and scaled the business to $25B in ARR. He holds a bachelor’s in computer science from the University of Texas at Austin. Bellevue, WA is home for Taimur, where he lives with his wife and three boys, and spends his time cross-training, hiking, biking, and reading books on business strategy.

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