1. Forecasting in AWS
#cloudconf2023

2. Alessandra Bilardi
Data & Automation Specialist
alessandra.bilardi@corley.it
corley.it

3. The importance
Which data
AWS Services
Comparison
SOMMARIO

4. What is the forecasting ?
https://scinapse.ai/blog/6-business-applications-forecasting-machine-learni

5. The importance of the forecasting
1
Retail demand
planning
2
Supply chain
planning
3
Resource planning
4
Operational
planning

6. Which data can we use to do forecasting ?
1
target timeseries
2
related timeseries
3
categorical data
4
geolocalization

7. AWS services for the forecasting
1
Amazon SageMaker
Canvas
2
Amazon Forecast
3
Amazon SageMaker
JumpStart
4
Amazon SageMaker
Built-in algorithms

8. Comparison of AWS services for the forecasting
Services Difficulty Execution times Costs RMSE
SM Canvas 🏖🏖🏖 10 mins $ 2.02 280
Forecast 🏖📚🔧 20 mins + 48 mins $ 11.28 57
SM JumpStart 🤓🔧🔧 5 mins + 28 mins $ 0.41 265
SM Built-in algos 🤓🔧🔧 3 mins + 10 mins $ 0.22 251

9. 280
57
265
251

10. Questions
1
Qual è il mio
obiettivo ?
2
Quanto esperto sono ?
3
Quante risorse ho ?
4
Qual è lo strumento
giusto ?

11. Contacts

12. Thanks for listening.
#cloudconf2023