Data Conference Databasea Query.Farm index
Speakers

Chris King

Employers on the program

  1. 2019–2024Amazon Web Services5 talks
Events3
Conferences1
Talks5
Years active2019–2024

Appearances by year

201920202021202220232024202520262027
  • AWS re:Invent

Talks

DateEventConferenceRoleTitleLinks
Dec 2, 2024AWS re:Invent 2024AWS re:InventworkshopApproaches 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 less

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 subnets, security groups, flow logs, and routing.

Nov 29, 2021AWS re:Invent 2021AWS re:Inventchalk talkBuild 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 less

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 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, 2021AWS re:Invent 2021AWS re:InventworkshopInstantly 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 less

Anomalies 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, 2019AWS re:Invent 2019AWS re:Inventworkshop[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 less

Machine 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, 2019AWS re:Invent 2019AWS re:InventbreakoutPredict 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 less

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 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

SpeakerShared eventsShared talksLast together
Alan Halachmi3—2024
Alex DeBrie3—2024
Ali Saidi3—2024
Amit Kumar3—2024
Andrew Baird3—2024
Andrew Crudge3—2024
Andrew Krug3—2024
Andy Reedy3—2024
Anh Tran3—2024
Arthur Petitpierre3—2024
Ashish Palekar3—2024
Becky Weiss3—2024
Brian Beach3—2024
Brian Terry3—2024
Brigid Johnson3—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.