Machine learning solutions require a range of supporting technology.
With AWS, you get to choose from the broadest and deepest set of services that match your business needs - from pre-trained AI services to fully-managed, comprehensive machine learning solutions.
That's why more than 10,000 customers have chosen to use AWS for machine learning.
In this workshop series, join us on a learning journey to understand AI/ML through use cases such as how to unlock the power of hyper-personalization, how to tackle fraud with machine
learning, and deep dive into the world of data centric machine learning to scale your data processing needs.
Hear from our partners & customers across various industries on how they have leveraged AWS AI/ML services to achieve desirable business outcomes.
You will also have the chance to learn from our Digital Innovation and Training & Certification teams on how to tackle challenges of machine learning adoption and how large and small organisations can innovate with agility.
With business and technical sessions ranging from Level
100-300 content, this workshop series is catered for both Business & IT leaders looking to explore AI/ML on AWS or for technical builders looking to deepen their understanding of AI/ML services and use case implementations across industries regardless of whether you are from a startup,
small-medium business or an enterprise.
Who should attend?
- Decision Makers: Business and IT decision makers, influencers, senior executives (across segments)
- Implementers/Practitioners: ML Engineers, Data Engineers, Data Scientists, Solution Architects and Developers
Agenda
• 22 March
AI/ML Masterclass
Artificial Intelligence (AI) and Machine Learning (ML) are buzzwords we hear. As organisations embrace digitization, data remains at the centre of focus to offer personalized content, product recommendation, business insights, fraud detection and security, and much more. How do you decide where to focus your efforts, where to get started with AI? In this AWS Masterclass on AI/ML – Customers will share their journey, the challenges they face in driving business value with AI and how they are upskilling to experiment with AI solutions.
Reuben Jayasinghe
Digital Innovation ASEAN, AWS
Emmanuel Pillai
Head of Training & Certification ASEAN, AWS
Jitendra Singh Jaitawat
Chief Technology Officer, Helicap
Dr.
Tan Geok Leng
CEO, AIDA Technologies
Dr.
David Hardoon
Managing Director, Aboitiz
Machine learning for developers - Enhance your customer experience through personalization
Businesses across industries are looking to personalize content delivery to enhance user experience. Best-in-class recommendation engines leverage ML to builid product specific recommendations, personalized product re-ranking, and customized direct marketing that can help enhance the customer experience and increase engagement. In this workshop, learn how to integrate these personalization features in your application using Amazon Personalize (with little to no ML experience required).
Mahesh Shivamallappa
SA PMO, DevAx, AWS
Janos Schwellach
Senior Specialist SA, DevAx, AWS
• 23 March
Towards data-centric Machine Learning
High quality Machine Learning models require high quality and, often, large datasets. Being able to analyze, clean, and transform data efficiently at scale is a fundamental part of the Data Scientist workflow. In this session we’ll review how to handle data at any scale using Amazon EMR and Amazon SageMaker Data Wrangler and Processing, all within Amazon SageMaker Studio.
Indrajit Ghosalkar
Solutions Architect, AWS
Enhancing fraud detection and prevention with ML
Machine learning offers a way to help organizations more accurately detect and prevent fraud and adapt to changing threat patterns. In this session learn about multipletechnicques being used for tackling fraud with ML : eKYC, Fraud Scoring, Graph networks. AWS offers a range of services that makes it possible for users with varying levels of expertise in Data Science to leverage machine learning to fight fraud in their businesses. We'll also take a closer look at Amazon's fully managed fraud detection service: Amazon Fraud Detector.
Fernandito
Associate Solutions Architect, AWS
• 24 March
Make the Process AI-powered with Computer Vision
With the progress and availability of deep learning, computer vision has been the fastest growing area in AI applications, we see use cases across mask detection, asset tracking take off with the pandemic; so does intelligent process automation while shortage of workers became a common challenge nowadays. Join us to learn how AI can help accelerate the processes.
Ling Chang
PDS ML, ASEAN, AWS
Chee How Lim
CEO, Tapway
Cris Gironella
Head of Data Engineering Capability, Pointwest
Mac Aydinan
Head of Artificial Intelligence Capability, Pointwest
Build your AI-ready data platform
Do you use data to support your day to day decision making? What if we could learn from historical data for future insights? Join us to learn how partners and customers are using our AI and ML services to design their machine learning platform and enable their AI transformation journey.
Vasileios Vonikakis
Senior Partner SA, AI/ML, AWS
Emil Capino
CEO, Info Alchemy
Ronald Martin
Principal Consultant, Info Alchemy Corporation
Usha Venkatasubramanian
Head of Data & Analytics Practice and Digital Solutions for India, ME and APAC, L&T Infotech
(Registration Closed due to full capacity)
[Hands-On Workshop] Building repeatable ML workflows with Amazon Sagemaker
As data science teams grow and mature, it becomes a priority to create repeatable and scalable workflows.
While processes depend on individual teams there are tools that can help accelerate and manage the heavy lifting required to create these repeatble workflows.
In this workshop, learn how to build and orchestrate repeatable and traceable Machine Learning experiments with Sagemaker Autopilot, Pipelines and Experiments.
Prior Knowledge: This event assumes attendees have some basic familiarity with using Python, AWS IAM, Amazon S3, and
basic concepts of containers, data science and deep learning.
Alex Thewsey
ML Specialist Solutions Architect, AWS
Mehaboob Basha DK
Cloud Architect, AWS
Roger Sindreu
Senior Solutions Architect, AWS
• 25 March
(Registration Closed due to full capacity) AI/ML GameDay [Limited Slots]
Advance your cloud adoption journey by solving challenges designed to teach AWS best practices and put your skills to the test by solving challenges that emulate real AWS use-cases around AI/ML!
The AWS AI/ML GameDay focuses on enabling builders to gain experience on AWS AI/ML
services and facilitating a collaborative learning environment to explore customers' and organizational AI/ML use cases.
It is designed for builders with all levels of AWS knowledge, including everyday developers, data scientists, and ML practitioners.
Participants typically form a team of 3 with mixed levels of AI/ML experience and AWS knowledge.
The AI/ML GameDay allows attendees to experiment with different algorithms and fine-tune their ML models to earn the highest amount of points on the scoreboard.
The first team to successfully complete all the challenges with the highest scores will win.
AWS experts will be on hand to act as coaches, but the event promotes self-paced discovery and learning.
*Limited seats.
A confirmation email will be sent to confirm your spot.
Rohit Satyanarayana U
Sr PSA, AABG, Launchpad, APJ, AWS
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