Data doesn't naturally flow
Data isn't easy to visualise
Amazon DynamoDB, Auroa, SageMaker
Nielsen using data lakes to process consumer insights at scale
Monitoring ML model performance with 10x reduction training time
1. Comprehensive set service
Every customer should have access to
SQL analytics with RedShift. Big data with EMR.
Apache Spark/Apache Airflow/ AWS GLUE/ AWS Redshift/ Amazon EMR
2. Solutions that integrate all your data sources
3. Right governance strategy.
1.Accelerate your ML journey with Amazon SageMaker no-code and low-code tools
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Introduction to LLMs and the generative AI project lifecycle (0) | 2023.08.21 |
Machine Learning pipeline (0) | 2023.03.13 |
Advanced Testing Techniques (0) | 2023.03.07 |
What is Testing? (0) | 2023.03.07 |