What is it?
The third edition of the Innovation@Amazon organized by Amazon Development Center Poland is coming up! Join us at our technical conference held in Gdansk to meet our top-notch engineers and tech pioneers, who are responsible for the development of Amazon’s products and solutions including Amazon Web Services, Machine Learning, IoT, Amazon Game Studios and Amazon Alexa.
Our event will take place in Stary Maneż, Gdansk on September 29th. Deep-dive technical lectures will be followed by the networking activities. This autumn you will spend quality time with first-class speakers, who will gladly share their knowledge over a cup of coffee.
Participation fee is symbolic and lets you contribute to a good cause! Income from ticket sales will be donated to ”Dotrzymaj Kroku” Foundation to support programming courses for children from Orphanages and Foster Families from Gdansk and Gdansk-area.
29 SEP 2018 GDANSK
Cultivating Diversity - the Keys to Unlocking Innovation
We'll take a look at how diversity increases innovation and the ways we can build more diverse teams to get an additional competitive advantage through a diverse organization. We're defining diversity in terms of inherent, acquired and cognitive traits. Attendees will understand the importance of building diverse teams to create higher performance, productivity, faster results and increased innovation.
Deep Learning on Amazon SageMaker
In this session, we’ll look at the different options available to run Deep Learning on Amazon SageMaker. SageMaker is a managed service that lets developers focus on training and deploying models without having to manage infrastructure. Through a number of code-level demos, we’ll explore different scenarios in detail. First, we’ll run the built-in algorithm for image classification. Then, we’ll run custom code on pre-installed environments for popular libraries such as TensorFlow, PyTorch or Apache MXNet. Finally, we’ll bring our own custom Deep Learning environment to SageMaker.
Cloud9, a deep dive into Amazon’s cloud based IDE
Have you ever wondered how we envision the future IDEs at Amazon? In this talk, Nikolai will do a deep dive on AWS Cloud9, a cloud-based IDE, and take you on a journey on how Cloud9 can help you today to build software with less distraction. Nikolai will share how you can use Cloud9 to develop on AWS and guide you through a range of real-world examples. You will explore areas such as Alexa development with you and leave the talk with a deeper understanding on how you can leverage Cloud9 to build delightful software.
Designing Voice Driven Experiences with Amazon Alexa
Alexa, the voice service that powers Amazon Echo, Echo Dot, Amazon Tap and Amazon Fire TV provides a set of built-in abilities that enable customers to interact with devices in a more intuitive way using voice. With the Alexa Skills Kit (ASK), you can easily build your own skills for Alexa that run across any device and are hosted in the cloud (like AWS Lambda). Learn how developers are leveraging Alexa to reinvent experiences from finding a recipe for dinner to connecting the smart home to building voice capabilities into connected cars.
Toward Self-Serve NLU
Alexa currently has 36 985 skills built by external developers, as well as hundreds of complex capabilities built by Amazon’s internal developers such as Music, Smart. Home automation, Calendaring and Reminders. Additionally, Alexa deploys personalized models to support our many customers. To scale the design, training, evaluation and deployment of all these models, we’ve built an NLU platform that can be entirely self-serve (i.e. no involvement from anyone except the model developer), but that also supports interactions of cutting edge complexity. This talk will give an overview of how our platform serves the needs of thousands of developers and millions of customers.
Machine Learning and Natural Language Processing @ Amazon
Data in various parts of the company is creating a tremendous number of opportunities for Machine Learning to improve existing and create novel customer experiences. Applications of Machine Learning range from Computer Vision and Natural Language Processing to Forecasting and Robotics. In this talk, I will give an overview of some of the problems we are tackling with ML focusing specifically on applications in natural language.
Tuning your Alexa skill for voice-first discoverability
Alexa uses multiple approaches to starting user dialogs with your skill, including the Skill Query API currently in public beta. By understanding all of them, you can tune your skill to get more new users and generate additional engagement with the ones you have. Come learn about the cutting edge of skill discovery by voice for Alexa.
Networking After Party
Place: Aleja Grunwaldzka 472, Olivia Point Building, Gdansk
Join Amazon’s workshops led by our highly experienced engineers and architects:
Tomasz Stachlewski, Senior Solutions Architect at AWS, will will take you through the
will teach you “Learn How To Build An Alexa Skill”.
The workshops will be taking place on September 28th, a day before the conference,
and are open for anyone who registers for Innovation@Amazon 2018.
If you want to participate, just mark the workshop option in the registration form.
Learn How To Build An Alexa Skill
To ensure a better bootcamp experience, prior to arrival:
• Sign up for an Amazon developer account: (free)
• Sign up for an AWS account (free – but CC required for signup)
• Please bring a laptop
Building Serverless Apps in Cloud
Serverless is one of the newest and coolest method of building applications in today Word. In this workshop, we will be using the power of cloud to use this approach of building applications, to quickly build a couple of them. We will be deploying our microservices using AWS Lambda service, creating NoSQL databases with Amazon DynamoDB service, expose them to the world using Amazon API Gateway and more. We will also check how to build API interface using GraphQL language. At the end we will also give some intelligence to our applications by integrating them with AI functionalities, like text-to-speech, image recognition etc.
Last conference photos