Date
12 May

Location
AWS Amsterdam

Register here
Every once in a while the AWS community gets invited to the AWS office in Amsterdam. After more than 2 years, we’re back! There are great talks about Data, IoT, ML and IAM… Hope to see you May 12th!

Agenda at a glance

18:00-19:00 Buffet / Pizza
19:00-21:00 Sessions (with a short break at 20:00)
21:00-22:00 Drinks & Networking

Important

  • Sign up with your full name (first name + last name).
  • AWS Amsterdam is located near Amsterdam Amstel NS Station.
  • Q-Park Amstel or ParkBee Spaces Amstel No Free Parking at AWS available! Please do not try to call reception, they can’t let you in.

Sessions

No Data Scientist? No problem!

Brajendra Singh, Amazon Web Services
As machine learning becomes more mainstream, developers and analysts are increasingly expected to apply it to their data to improve business outcomes such as reduce churn, detect fraud, identify marketing motions, predict maintenance, forecast sales, optimize inventory, and forecast financial metrics. In this session, learn how SageMaker Canvas helps quickly connect to and access data from disparate sources, and prepare data for building ML models thank to AutoML.

Brajendra is solution architect in Amazon Web Services working with enterprise customers. He has strong developer background and is a keen enthusiast for machine learning.

Building an edge computing to support Industrial IoT initiatives

Mario Pereira, Vopak
How the oldest dutch company is reinventing itself and becoming data-driven by using AWS. Our team started building 2018 a distributed data platform that supports Industrial IoT initiatives. The platform ingests and processes +50 million events from industrial sensors per day at the edge and stores +10billions of events in the cloud.

IAM Secure, Are You?

Enri Peters, Schuberg Philis
This talk will be a quick deep dive into IAM with all kind of examples. Including examples about how to work with IAM resource policies, KMS and cross-account setup. Will include theory and a short demo.

Enri is a Mission Critical Engineer at Schuberg Philis. He is an IT engineer with a passion for automating IT and cloud environments.

Geospatial Data Exploration on AWS

Ankita Gavali, Amazon Web Services
Unprecedented surge in space exploration interests and the advancement of technology in mission control, satellite manufacturing and launch systems has made geospatial data easily accessible. Many customers see the need for geospatial analytics in different applications like precision agriculture, carbon footprint monitoring, land use, container vessel monitoring etc. Geospatial data, however, has unique requirements around storage and analysis. In this session, we will take a look at how AWS storage services can be used to build highly scalable and resilient datalakes to store, process and analyze your geospatial data. We will explore services like Amazon S3, Amazon Sagemaker, Amazon Athena, AWS Glue etc. that form the basis of AWS datalake architecture and how these services accelerate the delivery of data lakes, shortening the deployment time to production from several months to a few weeks.

As AWS Solutions Architect, Ankita works with customers across Benelux. She is passionate about working backwards from customer needs and helping them solve real business problems with the power of the AWS platform.