Broadcast Date: July 20, 2021
Level: 100
Business metric data is a treasure trove of insights. But getting to those insights requires either a lot of time or the right tools. The predictive nature of machine learning can leverage your data to provide proactive actionable insights to act on new opportunities, catch issues before they occur, and better anticipate the needs of your business. In this tech talk, you’ll learn how to apply machine learning, informed by over 20 years of experience at Amazon, to help you make the most of your business metrics to do things like accurately predict supply-demand forecasting and detect and diagnose anomalies in business and operational data—all with no ML expertise required.
Learning Objectives
- Learn how AWS Machine learning helps with business forecasting and anomaly detection
- Get a glimpse of how Amazon Forecast and Amazon Lookout for Metrics work
- Learn about customers who are using AWS ML to transform their business with data
Who Should Attend?
CFO, VP/Director of (Finance, Logistics, Supply Chain, Procurement, Operations, Sales, Customer Support, Strategic Planning), CTO, CIO / Director of IT / VP Analytics and/or Data Science,
Speakers
- Chris King, Sr. AI Services Specialist SA, AWS
Learn More
To learn more about the services featured in this talk, please visit:
https://aws.amazon.com/machine-learning/ml-use-cases/
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