AGENDA AT A GLANCEWednesday, 13May, 2020

Session starts at 9:30 am

OPENING KEYNOTE

SAP on AWS: Unlocking value from your investment

Level 200 Level 200Level 300

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Best practices for implementing a data lake in Amazon S3

Best practices for building production-grade Deep Learning systems

Fraud detection: Using ML to identify and manage fraudulent activities

Application integration patterns for microservices

Supersonic serverless Java on AWS Lambda

Scaling Up to Your First 10 Million Users

Delivering container-native applications without managing servers

Level 300

Purpose-built databases for modern applications

Level 300

Tuning your cloud: Improve global network performance for applications Level 300

Cloud Operating Models for accelerated transformation

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Deep dive into AWS Lake Formation

AWS DeepRacer: Train, evaluate, and tune your reinforcement learning model

Kubernetes GitOps on AWS

Database freedom: Break free to save, grow, and innovate

What's new in AWS file storage

Streaming and real-time analytics

Enterprise cloud migration meets application containerisation on AWSLevel 300

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Create an environment to accelerate transformation and unlock innovation

Level 200Duration:25mins

Trends with data lakes and analytics

Level 200

Modernize your data warehouse

The effortless development of custom computer vision models

DevOps for data science: Operationalizing ML

The art of the state: Coordinating services using AWS Step Functions

A path to event sourcing with Amazon MSK

Industrial machine performance insights with AWS IoT services

Realising the business value of modernising

Level 200Duration: 30 mins

Duration: 35 mins

Duration: 30 mins

Duration: 30 mins Duration: 45 mins

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Duration: 45 mins Duration: 45 mins Duration: 30 mins Duration: 45 mins Duration: 45 mins

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Duration: 30 mins Duration: 30 mins Duration: 30 mins Duration: 35 mins Duration: 35 mins Duration: 35 mins

Turn data into insights

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Streamlining machine learning operations

All things AI/ML: Tying them together

Applications and operations modernization

Building serverless applications with AWS Amplify

Move your desktops and applications to AWS end-user computing

Track 1 Track 2 Track 3 Track 4 Track 5 Track 6 Track 7

09:30 - 10:30Time

Enterprise Transformation

Data and Analytics Machine Learning - Track 1

Modern Application Development

Developers Building Applications at Scale

AWSome DayMachine Learning - Track 2

Module 1: Introduction to the AWS Cloud

Module 2: Getting started with the AWS Cloud

Duration: 20mins

Module 3: Building in the cloud

Duration: 25mins

Duration: 25mins

Duration: 30mins

Module 4: Secure your cloud applications

Module 5: AWS pricing, support, and architecting

13:30 - 14:10 FIRESIDE CHAT

Duration: 20mins