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AWS EMEA Webinars

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  • Deep Dive on Apache MXNet with Python
    Deep Dive on Apache MXNet with Python Julien Simon, AI Technical Evangelist, AWS EMEA Recorded: Dec 13 2017 59 mins
    In recent months, Artificial Intelligence has become the hottest topic in the IT industry. In this session, we’ll explain how Deep Learning — a subset of AI — differs from traditional Machine Learning, and how AWS customers use it to solve complex problems such as computer vision and natural language processing. Then, using Python code, we’ll show you how to start writing and training models using Apache MXNet, a popular library for Deep Learning which supports both CPUs and GPUs. Finally, we’ll demonstrate how you can achieve excellent results quickly by using state-of-the-art, pre-trained models.
  • Optimising SAP HANA on AWS
    Optimising SAP HANA on AWS Adam Hill, Specialist Solutions Architect - SAP, AWS EMEA Recorded: Dec 7 2017 60 mins
    Join this webinar to find out how Amazon Web Services (AWS) provides hyperscale cloud infrastructure for running SAP HANA. You will learn about the features of SAP and AWS that support multi-terabyte OLTP and OLAP workloads on HANA, which can be deployed quickly and simply using our QuickStart guides. Additionally, you will discover how to deploy large SAP HANA estates on AWS based on multiple migration options, and how to leverage AWS services to build flexible, redundant, high-availability architectures.

    Learning Objectives:

    - Discover which SAP HANA solutions are supported on AWS
    - Learn how to rapidly scale up and out with SAP HANA on AWS
    - Gain the knowledge needed to deploy SAP HANA on AWS with confidence
    - Find out how to optimise SAP HANA workloads for AWS
  • Best Practices for Building Your Data Lake on AWS
    Best Practices for Building Your Data Lake on AWS Ian Robinson, Specialist SA: Analytics, EMEA, AWS Recorded: Nov 22 2017 62 mins
    Today’s organisations require a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lake is a new and increasingly popular way to store all of your data, structured and unstructured, in one, centralised repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.

    Join this webinar to discover how AWS gives you fast access to flexible and low-cost IT resources, so you can rapidly scale and build your data lake that can power any kind of analytics such as data warehousing, clickstream analytics, fraud detection, recommendation engines, event-driven ETL, serverless computing, and internet-of-things processing regardless of volume, velocity and variety of data.
  • Building Smart Applications with Amazon Machine Learning
    Building Smart Applications with Amazon Machine Learning Neeraj Kumar, Enterprise Solutions Architect, AWS Recorded: Nov 15 2017 54 mins
    Learn how to build an end-to-end smart application in the AWS Cloud in this webinar on Amazon Machine Learning (Amazon ML). During the session, we will show you how to create machine learning models, deploy them to production, and obtain predictions in real-time. We will also walk you through the process of building a complete smart application using Amazon ML, AWS IoT, and AWS Lambda, as well as covering the process flow, architecture and code needed for Amazon ML implementation. With information about using Amazon ML and integrating it into your applications, this session will prepare you to take full advantage of predictive analytics in the cloud.
  • Deploying SAP Solutions on AWS
    Deploying SAP Solutions on AWS John Studdert, Partner Solutions Architect - SAP, EMEA, Amazon Web Services Recorded: Nov 8 2017 61 mins
    Amazon Web Services (AWS) provides many options for running hyperscale SAP solutions in the cloud. Additionally, the majority of SAP on-premise products can be run on AWS, including all major RDBMS platforms and Windows/Linux OS platforms. Join this webinar to discover more about these capabilities and services, and how you can use them to deploy your SAP estate on AWS. You can also learn the benefits of running your SAP workloads on AWS and how our customers have leveraged this to achieve real-world business benefits.

    Learning Objectives:

    - Overview of SAP solutions supported on AWS
    - Overview of core AWS services for SAP workloads
    - Benefits of deploying SAP on AWS
    - Examples of how customers are running SAP workloads on AWS
  • AI & Deep Learning At Amazon
    AI & Deep Learning At Amazon Adrian Hornsby, Technical Evangelist, AWS Recorded: Nov 1 2017 46 mins
    Whether you’re just getting started with AI or you’re a deep learning expert, this session will provide a meaningful overview of how to get started with Artificial Intelligence on the AWS Cloud. In particular, we will explore AWS cloud-native machine learning and deep learning technologies that address a range of different use cases and needs. These include AWS Lex, which provides natural language understanding (NLU) and automatic speech recognition (ASR); Amazon Rekognition, which provides visual search and image recognition capabilities; Amazon Polly for text-to-speech (TTS) capabilities; and Amazon Machine Learning tools. The session will also cover the AWS Deep Learning AMI, which lets you run deep learning in the cloud at any scale. You can use launch instances of the AMI, pre-installed with open source deep learning engines (Apache MXNet, TensorFlow, Caffe, Theano, Torch and Keras), to run sophisticated AI models, experiment with new algorithms, and learn new deep learning skills and techniques; all backed by auto-scaling clusters of GPU-based instances.
  • Deep Dive on AWS Lambda
    Deep Dive on AWS Lambda Heitor Lessa, Specialist Solutions Architect, AWS Recorded: Oct 25 2017 85 mins
    Do you want to run your code without the cost and effort of provisioning and managing servers? Find out how in this deep dive session on AWS Lambda, which allows you to run code for virtually any type of application or backend service – all with zero administration. During the session, we’ll look at a number of key AWS Lambda features and benefits, including automated application scaling with high availability; pay-as-you-consume billing; and the ability to automatically trigger your code from other AWS services or from any web or mobile app. Join us on the day and take your serverless computing strategy to the next level.
  • Serverless Architectural Patterns and Best Practices
    Serverless Architectural Patterns and Best Practices Danilo Poccia, Technical Evangelist, AWS Recorded: Oct 18 2017 46 mins
    If you want to deploy your workloads without the burden of managing servers or operating systems, this webinar is for you. During the session, we will explore four re-usable serverless architectural patterns for supporting web apps, stream processing apps, batch processing apps, and automation apps. For each pattern, we provide a TCO analysis and comparison with the server-based equivalent. We also discuss the considerations and nuances associated with each pattern, with AWS customers sharing their experiences of deploying them. The information covered in the webinar is relevant for architects, system operators, and anyone looking for a better understanding of how serverless architectures can help them save money and improve agility.
  • SAP Solutions on AWS Overview
    SAP Solutions on AWS Overview Allan Knudsen, Business Development Manager, AWS Recorded: Oct 11 2017 44 mins
    Many of the world’s largest enterprises are replacing their traditional SAP server environments with SAP running in the AWS Cloud. As well as increasing business agility and scalability, our cloud platform significantly reduces SAP infrastructure and support costs, simplifies operations and contributes directly to the bottom line.

    In this overview webinar, you will learn about:

    • How Fortune 50 companies are migrating their SAP workloads to AWS
    • How rapid resource provisioning in the cloud can help enterprises be more agile
    • How IT, and specifically SAP running in the cloud, can become a competitive differentiator, not just a cost centre
    • Typical SAP solutions and use cases deployed on AWS
    • Methods for accelerating SAP HANA:registered: implementations — break barriers and move to SAP HANA in less than 48 hours
  • Deploying your Data Warehouse on AWS
    Deploying your Data Warehouse on AWS Ian Meyers, Head of CAT, DBS Outbound & Customer Prgrm, AWS Recorded: Oct 11 2017 58 mins
    Data warehousing is a critical component for analysing and extracting actionable insights from your data. Amazon Redshift allows you to deploy a scalable data warehouse in a matter minutes and start to analyse your data right away using your existing business intelligence tools. It’s a fast, fully-managed, and cost-effective data warehousing system. You can analyse all your data using standard SQL and your existing Business Intelligence (BI) tools. Amazon Redshift also includes Redshift Spectrum, allowing you to directly run SQL queries against exabytes of unstructured data in Amazon S3. In this, you will learn how to migrate from existing data warehouses, optimise schemas and load data efficiently. We will also cover analytics tools to help you build visualisations, perform ad-hoc analysis and quickly get business insights from your data.

    Learning Objectives:

    • Discover best practices for building a data warehouse using Amazon Redshift

    • Learn to use Amazon QuickSight for Business Intelligence and AWS Glue for ETL.

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