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Attend introductory sessions on new and existing AWS solutions or participate in sessions that go deep into architecture and code. All sessions will be delivered by subject matter experts from AWS or expert customers who can share their real world experiences and lessons learned.

Onsite at the Summit, sessions will be filled on a first-come first-seated basis. Closer to the date we will launch the event app to help you organise your day and keep up with all the exciting things happening at the Summit, so watch this space!

08:30 - 09:45 Registration

Join the Keynote and hear from Dr. Werner Vogels, Chief Technology Officer, Amazon.com and Kamini Aisola, Managing Director, AWS Benelux.

Room: King Willem Alexander Theatre

Please note: Seats will be filled on a first come, first serve basis.

Containers are an increasingly important way for developers to package and deploy their applications. AWS offers multiple container products to help you deploy, manage, and scale containers in production: Amazon Elastic Container Service (ECS) is a fully-managed container orchestration service; Amazon ECS for Kubernetes (EKS) is a managed service that makes it easy for you to run Kubernetes on AWS; Amazon Elastic Container Registry (ECR) is a fully-managed Docker container registry; AWS Fargate is a technology for deploying and managing containers without having to manage the underlying infrastructure.

Speaker: Abby Fuller, Sr. Technical Evangelist, AWS

Cloud security at AWS is the highest priority. As an AWS customer, you will benefit from a data center and network architecture built to meet the requirements of the most security-sensitive organizations. In this session you'll learn how to keep your data safe and meet compliance requirements, being able to scale quickly and save money.

Speaker: Koen van Blijderveen, Security Consultant, Professional Services, AWS

Traditional data storage and analytic tools can no longer provide the agility and flexibility required to deliver relevant business insights. That’s why many organizations are shifting to a data lake architecture. A data lake is an architectural approach that allows you to store massive amounts of data into a central location, so it's readily available to be categorized, processed, analyzed and consumed by diverse groups within an organization. In this talk, we will dive deep into assembling a data lake using services such as Amazon S3, Amazon Kinesis, Amazon Athena, Amazon EMR, and AWS Glue.

Speaker: Rohan Raizada, Solutions Architect, AWS

Machine learning often feels a lot harder than it should be to most developers because the process to build and train models, and then deploy them into production is too complicated and too slow. Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Apache MXNet and TensorFlow are pre-installed, and Amazon SageMaker offers a range of built-in, high-performance machine learning algorithms. If you want to train with an alternative framework or algorithm, you can bring your own in a Docker container.

Speaker: Julien Simon, Principal Evangelist, AI/ML, AWS

AWS IoT services provide a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. In this session, we will discuss how constrained devices can leverage AWS IoT Core to send data to the cloud and receive commands back to the device from the cloud using the protocol of their choice. AWS Greengrass is software that lets you run local compute, messaging & data caching for connected devices in a secure way. AWS IoT Device Management is a service that makes it easy to securely onboard, organize, monitor, and remotely manage IoT devices at scale. With AWS IoT Analytics you can run sophisticated analytics on massive volumes of IoT data without having to worry about all the cost and complexity typically required to build your own IoT analytics platform.

Speaker: Tara Walker, Technical Evangelist, AWS

Executives are under increasing pressure to deliver Cloud transformation results quickly and want to learn the fastest and safest way to this, while bringing the whole of their organisation on the journey in an inclusive way. Find out with the benefit of hindsight, how the world’s leading enterprises are organising, reskilling and executing cloud adoption to move to the cloud with early wins and sustainable change.

Speaker: Jon Allen, Enterprise Evangelist, AWS

AWS is known for helping startups scale and grow. Join us to learn more about how you can benefit from these programs specifically designed for startups including; AWS Activate, AWS Marketplace for SaaS Startups, Amazon Launchpad and the Alexa Fund to name a few. We’ll outline the ways these go-to-market programs can provide startups with the resources to help accelerate your business, reduce time-to-market and achieve competitive differentiation.

Speaker: Jose Rodriguez Martinez, AWS Startup DB Manager, Benelux

12:30 - 13:30 Lunch, Partner & Solutions Expo

Serverless computing allows you to build and run applications and services without thinking about servers, and don't require you to provision, scale, and manage the underlying infrastructure. We will share the latest developments and how companies are benefiting from serverless applications in production. You'll learn about the latest feature releases from AWS Lambda, Amazon API Gateway, and more.

Speaker: Prakash Palanisamy, Solutions Architect, AWS

The General Data Protection Regulation (GDPR) comes into force on May 25, 2018. Complying with GDPR can be challenging, but AWS can guide you through the process. In this session we'll explain the automation mechanisms AWS offers its customers to help with their compliance programs. Specific GDPR articles will be matched to tooling, so knowledge of both will be helpful in understanding the material.

Speaker: Christian Hesse, Snr. Manager, Data Protection, AWS

Amazon Relational Database Service (RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups. There are multiple database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server. Amazon Aurora is a relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases and is designed to be compatible with MySQL and with PostgreSQL so that existing applications and tools can run without requiring modification.

Speaker: John Segers, Solutions Architect, AWS

Machine Learning works by using powerful algorithms to discover patterns in data and construct complex mathematical models using these patterns. Once the model is built, you perform inference by applying new data to the trained model to make predictions for your application. Building and training ML models require massive computing resources so it is a natural fit for the cloud. But, inference takes a lot less computing power and is typically done in real-time when new data is available, so getting inference results with very low latency is important to making sure your applications can respond quickly to local events. AWS Greengrass ML inference gives you the best of both worlds. You use ML models that are built and trained in the cloud and you deploy and run ML inference locally on connected devices. For example, autonomous cars need to identify road signs in real time, drones need to recognize objects with or without network connectivity.

Speaker: Julien Simon, Principle Evangelist, AI/ML, AWS

Whether you are a media and entertainment company, an enterprise, a start-up or a government agency, AWS Media Services allow you to easily create professional quality media experiences for your viewers without the time, effort and expense that used to typically be required to run specialized video equipment in a traditional data center. These on-demand, elastic services help you innovate faster and respond quickly to changes in video technology.

Speaker: Andrew Horne, Principle Solutions Architect, Elemental, AWS

For many organizations, adoption of the cloud is often led from the IT silo, where retiring technical debt, modernising legacy applications and becoming agile through the introduction of DevOps and CI/CD methodologies and tools are the primary focus. Bigger opportunities to drive transformational business value are often delayed, or at worst lost, because the broader organization is not involved in this change. In this session, we discuss the challenges of achieving broad organizational awareness of and engagement with the adoption of AWS and the potential business value benefits that can be realized through an adoption strategy that includes the broader organization.

Speaker: Mario Thomas, Senior Consultant, AWS

 

In this session you’ll hear how Belgian startup Showpad took advantage of AWS go-to-market programs for Startups to migrate their production workloads from a colocation environment to AWS. You'll learn about Showpad's journey, some of the decision making considerations they faced around operational planning and risk assessment, and the value-add achieved by using AWS enterprise support.

Speaker: Showpad - Maarten Mortier, CTO

Continuous Integration (CI) is a software development practice where developers regularly merge their code changes into a central repository, after which automated builds and tests are run. Using CI, you can find and address bugs quicker, improve software quality, and reduce the time it takes to validate and release new software updates. With Continuous Delivery (CD), code changes are automatically built, tested, and prepared for a release to production. With CD, developers will always have a deployment-ready build artifact that has passed through a standardized test process, enabling teams to be more agile and quickening the pace of innovation.

Speaker: Tara Walker, Technical Evangelist, AWS

There is a large number of legacy enterprise Microsoft applications still running on-premises. This session will focus on retiring technical debt and bringing some of those apps into AWS using next generation platforms. You will learn how AWS supports Microsoft applications and how you can leverage the application lifecycle management features to move your applications to cloud and serverless .NET platforms, helping you focus on your core business, be more agile and more cost efficient.

Speaker: Julien Lepine, Solutions Architect Manager, AWS

NoSQL is a term used to describe high-performance, non-relational databases. NoSQL databases utilize a variety of data models, including document, graph, and key-value. NoSQL databases are widely recognized for ease of development, scalable performance, high availability, and resilience. With AWS, you can use fully-managed NoSQL database services, such as Amazon DynamoDB, for all applications that need consistent, single-digit millisecond latency at any scale, Amazon Neptune, a graph database built for the cloud, and Amazon ElastiCache, an in-memory data store service where you can choose Redis or Memcached to power your real-time applications.

Speaker: Andrey Zaychikov, Solutions Architect, DB Migration, AWS

Amazon Rekognition makes it easy to add image and video analysis to your applications. You just provide an image or video to the Rekognition API, and the service can identify the objects, people, text, scenes, and activities, as well as detect any inappropriate content. It also provides highly accurate facial analysis and facial recognition. You can detect, analyze, and compare faces for a wide variety of user verification, cataloging, people counting, and public safety use cases. Amazon Rekognition is based on the same proven, highly scalable, deep learning technology developed by Amazon’s computer vision scientists to analyze billions of images and videos daily, and requires no machine learning expertise to use.

Speaker: Prakash Palanisamy, Solutions Architect, AWS

Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from one to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.

Speaker: Adrian Hornsby, Technical Evangelist, AWS

“Statistically, any big IT change project has a worryingly high probability of failure. The outcomes of these big IT decisions are largely determined by how people understand their problems and choices. This session will share AWS insights on how different organisations are viewing cloud adoption, risk and the business case analysis methods. It will cover what methods work best and how to quantify value and eliminate poor choices. Materials will be made available to attendees after the session.”

Speaker: Jonh Enoch, Business Development Manager, AWS

In this session you’ll hear how Dutch startup Ohpen - a leading financial services company, uses AWS services to scale in a highly regulated environment. You'll have an opportunity to hear more about the challenges and decisions startups need to consider when navigating complex technical requirements that have strong security, data handling and compliance specifications.

Speaker: Ohpen - Angelique Schouten, CEO

15:05 - 15:35 Break

GraphQL is an open standard that lets you request, change, and subscribe to the exact data you need in a single network request. This makes prototyping and building data-intensive applications as simple as writing a few lines of code. In this session we’ll introduce the core concepts of GraphQL and put that into practice with real-world implementations using tools such as AWS Lambda and AWS AppSync to deliver real-time collaborative experiences for web and mobile apps, using multiple data sources, managing off-line users’ data, and resolving data conflicts.

Speaker: Danilo Poccia, Technical Evangelist, AWS

Learn how customers are leveraging AWS to better position their enterprises for the digital transformation journey. In this session, you hear about: operations and process; the SAP transformation journey including architecting, migrating, running SAP on AWS; complete automation and management of the AWS layer using AWS native services; and a customer example. We also discuss the challenges of migration to the cloud and a managed services environment; the benefits to the customer of the new operating model; and lessons learned. By the end of the session, you understand why you should consider AWS for your next SAP platform, how to get there when you are ready and some best practices to manage your SAP systems on AWS.

Speaker: Adam Hill, Specialist Solutions Architect, AWS

Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. In this session, we present an end-to-end streaming data solution inclusing data ingestion, real-time processing and persistence.

Speaker: Adrian Hornsby, Technical Evangelist, AWS

AWS API-driven services bring conversational interfaces into any application. Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk, and build entirely new categories of speech-enabled products. Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text Alexa for Business makes it easy for you to use Alexa in your organization. It can simplify conference rooms, allowing meeting attendees to start meetings and control the equipment in the room by simply using their voice. Alexa can also do things around the workplace, like providing directions to a conference room, notifying IT about a broken printer, or placing an order for office supplies.

Speaker: Francesco Rinaudo, Snr. Manager Solutions Architecture, AWS

In this session, we discuss the challenges that regulated industries (ex: government, financial, and healthcare) face in demonstrating compliance with security requirements. You’ll learn which AWS Marketplace services enable appropriate threat mitigations in cloud computing through customer use cases, to show how to minimize your burden. Finally, we’ll demonstrate methods to reduce business impact, while increasing security effectiveness, and reducing risk in your environment.

Speaker: Marc Doublet, Business Development Manager, AWS

For many organizations, a perceived lack of cloud skills in their staff can limit their move to the cloud. Proper training of your engineers and developers can speed the pace of adoption, cloud migration, and delivery of business benefits by effectively operating the AWS Cloud. In this session, we discuss field-proven, prescriptive steps for reskilling and scaling your technical teams so that you can use the AWS Cloud securely, efficiently, and effectively.

Speaker: Jon Allen, Enterprise Evangelist, AWS

What does it take to create a world-class startup hub and how do you build an eco-system of programs, partners, institutions and communities? What are the components necessary to evolve the eco-system, and what’s the key role of intellectual property in the future of startups. In this panel discussion featuring Startup Delta (Nils Beers, Managing Director), Cottonwood Technology Fund (Ray Quintana, Partner), StartupBootCamp (Patrick de Zeeuw, founding member) and University of Amsterdam (Erik Boer, Head of Technology Transfer), we’ll take a closer look at the current challenges within the eco-system from 4 different perspectives.

Moderator: Jose Rodriguez Martinez, Startup Business Development Manager, AWS

16:30 - 17:00 Closing keynote
17:00 - 18:00 Networking Reception