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AWS EMEA Webinars

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  • Software Security and Best Practices in the AWS Cloud
    Software Security and Best Practices in the AWS Cloud Mike Morain, AWS Marketplace Solutions Architect Recorded: Jun 6 2017 29 mins
    Meet security-sensitive requirements faster. AWS provides several security capabilities and services to increase privacy and control network access that enable private or dedicated connections from your on-premises environment. In addition to the already secure AWS Cloud, AWS Marketplace offers industry-leading solutions to help you secure operating systems, platforms, applications and data that can integrate with existing controls in your AWS Cloud and hybrid environments.

    Learning objectives:

    - Learn about Marketplace security policies to ensure AWS Marketplace product security (Managed Catalog Operations)
    - Explore Security applications: vendor-enforced best-practices
    - Augmenting AWS Security offerings with Marketplace products.
  • Think IoT and not Servers - the Power of the Serverless Analytics IoT platform
    Think IoT and not Servers - the Power of the Serverless Analytics IoT platform Danilo Poccia, Technical Evangelist, AWS Recorded: May 31 2017 39 mins
    Scaling IoT platforms to support production workloads can be difficult and time consuming. In this webinar, we’ll see how to design real-world IoT applications with a serverless back end. This kind of architecture can grow from very few to virtually unlimited users without any infrastructure or servers to manage. In particular, we’ll see an example of data collection from multiple IoT sensors, and how to process streaming data and present the results in a consolidated web dashboard.

    Learning objectives:

    - Learn how to implement data collection from IoT sensors using service such as AWS IoT
    - Leverage the Amazon Kinesis platform to analyse streaming data
    - Understand best practices to design a serverless architecture to process and consolidate results
  • AWS Security Best Practices
    AWS Security Best Practices Ian Massingham, Head of EMEA Evangelism, AWS Recorded: May 31 2017 37 mins
    AWS provides a range of security services and features that AWS customers can use to secure their content and applications and meet their own specific business requirements for security. This presentation focuses on how you can make use of AWS security features to meet your own organisation's security and compliance objectives.
  • Using Artificial Intelligence to Enhance Your Customer Experience
    Using Artificial Intelligence to Enhance Your Customer Experience Steve Turner, Solutions Architect, AWS Recorded: May 31 2017 38 mins
    Artificial Intelligence (AI) is enhancing many of the services that we interact with today. It can improve the customer experience of many services to make them more accessible, whilst providing information faster in a format that feels more natural.

    AWS provides a collection of highly scalable, pre-trained and pre-tuned managed AI services that you can adopt without any previous artificial intelligence or deep learning knowledge. In this webinar, Steve explains how to implement each of these services to improve the user journey for a flight booking and check-in system.

    The AWS solutions discussed here include Amazon Polly, which provides audio instructions for sight-impaired users and Amazon Rekognition, which provides an additional layer of security during the check-in process, matching users with customer data on file. Finally, Amazon Lex is used to enable customers to make future flight bookings using only their voices.

    Learning objectives:

    - Understand why you may wish to use AI in your applications today
    - Identify the common AI challenges and practical use cases for Amazon AI services
    - Implement Amazon AI services without a PhD or Data Science background
  • Generating Insights from IoT Data Using Amazon Machine Learning
    Generating Insights from IoT Data Using Amazon Machine Learning Neeraj Kumar, Solutions Architect, AWS Recorded: May 24 2017 34 mins
    If you knew the state of everything in the world, and could apply logic on top of the data, what problems could you solve?

    AWS IoT Services help you collect and send data to the cloud, make it easy to load and analyse that information, and provide the ability to manage your devices, so you can focus on developing applications that fit your needs.

    Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology. Amazon Machine Learning provides visualisation tools and wizards that guide you through the process of creating machine learning (ML) models without having to learn complex ML algorithms and technology.

    In this webinar, Neeraj explains how you can use AWS IoT and Amazon Machine Learning together to build smart IoT applications. We will demonstrate how to setup Amazon Machine Learning, create and train Machine Learning models for your applications. We will then use these models in our IoT Applications, in real time.

    Learning objectives:

    - Understand why you may use Amazon Machine Learning with IoT and how to set it up.
    - Understand how to use IoT Rules Engine
  • Architecting Security and Governance Across a Multi-Account Strategy
    Architecting Security and Governance Across a Multi-Account Strategy Dave Walker, Specialist Solutions Architect – Security and Compliance, AWS Recorded: May 17 2017 56 mins
    Whether it is per business unit or per application, many AWS customers use multiple accounts to meet their infrastructure isolation and billing requirements. In this session, we discuss considerations, limitations, and security patterns when building out a multi-account strategy. We explore topics such as identity federation, cross-account roles, consolidated logging, and account governance.

    At the end of the session, we present an enterprise-ready, multi-account architecture that you can start leveraging today.
  • Securing Enterprise Big Data workloads
    Securing Enterprise Big Data workloads Pratim Das, Specialist Solutions Architect – Analytics, AWS Recorded: May 17 2017 33 mins
    Security of big data workloads in a hybrid IT environment often comes as an afterthought. This session discusses how enterprises can architect secure, big-data workloads on AWS. We cover the application of authentication, authorization, encryption, and additional security principles and mechanisms to workloads leveraging Amazon Elastic MapReduce (EMR) and Amazon Redshift.
  • 3 Easy Steps to Building Large-Scale IoT Architectures
    3 Easy Steps to Building Large-Scale IoT Architectures Jan Metzner, Specialist Solutions Architect IoT/Mobile in EMEA, AWS Recorded: May 10 2017 30 mins
    You have already started connecting your devices to AWS IoT. You can control them from the cloud. And you can collect, store and analyse data from all your devices in the cloud. So far so good, but you now need to build an architecture that will serve millions of users and devices concurrently.

    In this session, Jan will explain how you can build a real world IoT architecture that serves millions of devices. The talk will focus on user and device onboarding, device and user access management, message exchange and end user access to live and historical data stored in the cloud.

    Learning objectives:

    - Learn simple steps to build a real-world IoT architecture that serves millions of devices
    - Understand how to onboard and manage users and IoT devices and to access live and historial data in the cloud
  • How AI connects the dots for IoT - Augmenting IoT Solutions with AI
    How AI connects the dots for IoT - Augmenting IoT Solutions with AI Danilo Poccia, Technical Evangelist, AWS Recorded: May 10 2017 38 mins
    IoT can give you great insight into consumer behaviour and demand, helping to you create the innovative, revenue-generating services of the future. However, there are still lots of challenges around collecting data from devices, which often have significant limitations in terms of processing power, memory and interfaces.

    In this presentation, Danilo talks about how Amazon AI services can be used to augment device capabilities to make data collection, storage and analytics easier. He also considers how people can start interacting with machines in a more natural way, for example using natural language understanding (NLU), automatic speech recognition (ASR), visual search and image recognition, text-to-speech (TTS).

    Learning objectives:

    - Learn how to design IoT solutions using services such as AWS Greengrass and AWS IoT
    - Gain insights into practical use cases for Amazon AI services
    - Understand the possibilities of using AI from an IoT device
  • Compliance with AWS - Verifying AWS Security
    Compliance with AWS - Verifying AWS Security Dave Walker, Specialist Solutions Architect – Security and Compliance, AWS Recorded: May 10 2017 55 mins
    Does meeting stringent compliance requirements keep you up at night? Do you worry about having the right audit trails in place as proof?

    In this session, you will learn why building security in from the beginning saves you time (and painful retrofits) later, how to gather and retain audit evidence for instances that are only up for minutes or hours, and how to meet many compliance requirements and ensured that Amazon EC2 instances are immediately protected as they come online.

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