innovation@amazon

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

Speakers

Alan Packer

Director, NLU Interpretations , Alexa AI-Natural Understanding

Alan Packer

Director, NLU Interpretations , Alexa AI-Natural Understanding

Alan Packer is Director of Engineering for the Alexa NLU Interpretations team at Amazon. His team builds the platform and core technology for NLU models used both by external and internal developers. He has over 20 years of experience building machine-learning systems at scale in security, search, speech recognition and natural language understanding. Prior to joining Amazon Alan worked at Facebook, managing horizontal ranking teams for Facebook’s search engine, as well as language technology teams like speech recognition and machine translation. Before that Alan was at Microsoft until 2012, most recently leading the Cortana back-end technology team within Bing. In his spare time Alan walks away from machine learning to help his wife at a winery they run in Seattle, Washington.

    Nikolai Onken

    Senior Manager, Amazon Cloud9

    Nikolai Onken

    Senior Manager, Amazon Cloud9

    Nikolai is Senior Manager at AWS and is leading the AWS Cloud9 engineering teams in Amsterdam and Seattle. Prior to the AWS acquisition of Cloud9, Nikolai was VP of Engineering and helped Cloud9 to become one of the most successful cloud based IDEs. Nikolai is passionate about building developer tools which are a joy to use and help developers to reach their goals with as little friction as possible. At AWS, Nikolai is now focusing on building a great cloud based IDE for developers using AWS and alike.

      Lauren Kisser

      Director for AWS S3 based at Amazon’s Development Centre in Cambridge

      Lauren Kisser

      Director for AWS S3 based at Amazon’s Development Centre in Cambridge

      Lauren Kisser is Director for AWS S3 based at Amazon’s Development Centre in Cambridge. She leads a team of world class engineers working at the intersection of compute and storage. Lauren is a champion for diversity and a STEM supporter. She is the executive sponsor of the Diversity Working Group at Amazon’s Development Centre in Cambridge, which aims to create and foster a diverse workplace. She was awarded the 2017 everywoman in Retail Ambassador of the Year award for her dedication to addressing the gender gap in retail and technology. Lauren has led outreach efforts to inspire girls to continue studying STEM subjects at school by inviting them to Amazon’s drone lab in Cambridge and regularly visited schools as a Prime Air STEM Ambassador.

        Alex Klementiev

        Senior Manager, Alexa Machine Learning Core

        Alex Klementiev

        Senior Manager, Alexa Machine Learning Core

        Alexandre Klementiev manages a Natural Language Processing group at Amazon in Berlin, collaborating with teams across the company on projects involving natural language. Before joining Amazon in 2013, he was a postdoc at the University of Saarland and Johns Hopkins University working on computational semantics and machine translation. He received his Ph.D. in Computer Science in 2009 from the University of Illinois at Urbana Champaign. His research interests are in statistical natural language processing and machine learning.

          Andy Huntwork

          Principal Engineer, Alexa Skills Developer Tech

          Andy Huntwork

          Principal Engineer, Alexa Skills Developer Tech

          Andy Huntwork is a Principal Engineer for Alexa Skills Kit at Amazon.com and co-creator of The Magic Door, a popular Alexa skill. At Amazon, he currently works on building the next generation of capabilities for Alexa Skills. Previously, he led the team that launched “Alexa, play a game,” “Alexa, let’s chat,” and thousands of other phrases that launch skills. Outside Amazon, Andy built the Magic Door platform to enable his wife to tell engaging stories in a mostly self-service way without any coding. He also built the first audio engine in the cloud for voice applications, Talestreamer, and is interested ways to make voice interfaces sound better.

            David Kaiser

            Country Manager, Alexa Skills, Germany & Austria

            David Kaiser

            Country Manager, Alexa Skills, Germany & Austria

            David Kaiser leads the Alexa Skills Kit Business in Germany and Austria. He has a long cross functional experience in driving innovation starting in 1999 with developing and distributing Palm and Pocket PC software on one of the world’s first app stores. This was followed by building a consumer business for Europe’s largest private weather forecaster MeteoGroup including bestseller products like WeatherPro and MeteoEarth. Prior to joining Amazon in 2016 he managed the product strategy for one of the biggest dating companies worldwide.

              Tomasz Stachlewski

              Senior Solutions Architect, Amazon Web Services

              Tomasz Stachlewski

              Senior Solutions Architect, Amazon Web Services

              Tomasz is a Solutions Architect at Amazon Web Services, where he helps companies of all sizes (from startups to enterprises) in their Cloud journey. He provides guidelines for creating cloud solutions that deliver the most value to his customers, and help take their IT to the next level. He is a big believer in innovative technology such as serverless architecture, which allows organizations to accelerate their digital transformation. Before joining Amazon, he worked at LOT Polish Airlines, where he architected their first cloud projects, and at Accenture.

                Julien Simon

                AWS / Machine Learning Principal Evangelist at Amazon

                Julien Simon

                AWS / Machine Learning Principal Evangelist at Amazon

                As an Artificial Intelligence & Machine Learning Evangelist for EMEA, Julien focuses on helping developers and enterprises bring their ideas to life. He frequently speaks at conferences and he’s also actively blogging at https://medium.com/@julsimon. Prior to joining AWS, Julien served for 10 years as CTO/VP Engineering in top-tier web startups where he led large Software and Ops teams in charge of thousands of servers worldwide. In the process, he fought his way through a wide range of technical, business and procurement issues, which helped him gain a deep understanding of physical infrastructure, its limitations and how cloud computing can help. Last but not least, Julien holds all eight AWS certifications.

                  Conference Schedule

                  Date: 29.09.2018
                  Place: Stary Maneż, Gdansk
                  8:00 - 9:00

                  Registration

                  8:50 - 9:00
                  ~ 0.10 h

                  Opening

                  9:00 - 10:00
                  ~ 1 h
                  Lauren Kisser

                  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.

                  10:00 - 11:00
                  ~ 1 h
                  Julien Simon

                  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.

                  11:00 - 12:00
                  ~ 1 h
                  Nikolai Onken

                  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.

                  12:00 - 13:00
                  ~ 1 h

                  Lunch break

                  13:00 - 14:00
                  ~ 1 h
                  David Kaiser

                  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.

                  14:00 - 15:00
                  ~ 1 h
                  Alan Packer

                  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.

                  15:00 - 16:00
                  ~ 1 h
                  Alex Klementiev

                  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.

                  16:00 - 17:00
                  ~ 1 h
                  Andy Huntwork

                  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.

                  17:00 - 17:15
                  ~ 0.15 h

                  Closing

                  17:15 - 19:00
                  ~ 2 h

                  Networking After Party

                  Workshops


                  Date: 28.09.2018
                  Place: Aleja Grunwaldzka 472, Olivia Point Building, Gdansk

                  Join Amazon’s workshops led by our highly experienced engineers and architects:
                  Tomasz Stachlewski and Andy Huntwork.

                  Tomasz Stachlewski, Senior Solutions Architect at AWS, will will take you through the
                  “Building Serverless Apps in Cloud”. Andy Huntwork, Principal Engineer at Alexa Skills Developer Tech,

                  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.

                  Remember that the number of places is limited – first come, first served!
                  17:00 - 19:30
                  ANDY HUNTWORK

                  Learn How To Build An Alexa Skill

                  At this skill building bootcamp, the Alexa Skills Kit team will be onsite to help you add your own skills to Alexa. The Alexa Skills Kit is a collection of self-service APIs, tools, documentation and code samples that make it fast and easy for you to add skills to Alexa. Examples of skills include the ability to play music, answer general questions, set an alarm or timer, and more. You’ll gain experience with three services: Amazon’s Alexa Skills Kit, AWS Lambda (part of Amazon Web Services), and the NodeJS backend JavaScript framework.

                  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

                  17:00 - 19:30
                  TOMASZ STACHLEWSKI

                  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.

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