Chris King
Employers on the program
- 2019–2024Amazon Web Services5 talks
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | workshop | Approaches to layered security on Amazon VPC [REPEAT] as Amazon Web Services In this workshop, discover practical guidance that can help you build a secure Amazon VPC. Using a hands-on approach, review Amazon VPC features such as…Show lessIn this workshop, discover practical guidance that can help you build a secure Amazon VPC. Using a hands-on approach, review Amazon VPC features such as subnets, security groups, flow logs, and routing. | |
| Nov 29, 2021 | AWS re:Invent 2021 | AWS re:Invent | chalk talk | Build an ML-powered demand planning system using Amazon Forecast [REPEAT] as Amazon Web Services This chalk talk explores how you can use Amazon Forecast to build an ML-powered, fully automated demand planning system for your business or your multi-tenant…Show lessThis chalk talk explores how you can use Amazon Forecast to build an ML-powered, fully automated demand planning system for your business or your multi-tenant SaaS platform without needing any ML expertise. Amazon Forecast automatically generates highly accurate forecasts using machine learning, explains the drivers behind those forecasts, and keeps your machine learning models always up to... | Slides |
| Nov 29, 2021 | AWS re:Invent 2021 | AWS re:Invent | workshop | Instantly detect and diagnose anomalies within your business data as AWS Anomalies in business data often indicate potential issues or even opportunities. Machine learning can help you to detect anomalies and then act on them…Show lessAnomalies in business data often indicate potential issues or even opportunities. Machine learning can help you to detect anomalies and then act on them proactively. | Slides |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | workshop | [REPEAT 1] Build a content-recommendation engine with Amazon Personalize as AWS Machine learning is being used increasingly to improve customer engagement by powering personalized product and content recommendations. Amazon Personalize lets…Show lessMachine learning is being used increasingly to improve customer engagement by powering personalized product and content recommendations. Amazon Personalize lets you easily build sophisticated personalization capabilities into your applications, using machine learning technology perfected from years of use on Amazon.com. | Slides |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | breakout | Predict future business outcomes using Amazon Forecast as Amazon Web Services Based on the same technology used at Amazon.com, Amazon Forecast uses machine learning and time-series data to build accurate business forecasts. In this…Show lessBased on the same technology used at Amazon.com, Amazon Forecast uses machine learning and time-series data to build accurate business forecasts. In this session, learn how machine learning can improve accuracy in demand forecasting, financial planning, and resource allocation while reducing your forecasting time from months to hours. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Alan Halachmi | 3 | — | 2024 |
| Alex DeBrie | 3 | — | 2024 |
| Ali Saidi | 3 | — | 2024 |
| Amit Kumar | 3 | — | 2024 |
| Andrew Baird | 3 | — | 2024 |
| Andrew Crudge | 3 | — | 2024 |
| Andrew Krug | 3 | — | 2024 |
| Andy Reedy | 3 | — | 2024 |
| Anh Tran | 3 | — | 2024 |
| Arthur Petitpierre | 3 | — | 2024 |
| Ashish Palekar | 3 | — | 2024 |
| Becky Weiss | 3 | — | 2024 |
| Brian Beach | 3 | — | 2024 |
| Brian Terry | 3 | — | 2024 |
| Brigid Johnson | 3 | — | 2024 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.