[ EVENT ] Amazon Web Services Transformation Day Kuala Lumpur 2018

What ? AWS Transformation Day Kuala Lumpur 2018.
Where ? Sheraton Hotel, Petaling Jaya, Malaysia.
When ? Tuesday Aug 7, 2018.

The event was about transformation of brick-and-mortar type of business to world class cloud-based business. Two tracks were provided, (i) Retire Technical Debt and (ii) Innovation track.

Of course, I'm more interested towards innovation track on how-to using cloud technologies.

Below are a few notes taken during various sessions:

1. AWS Managed Services provides business quick "Landing Zones" to cloud computing.

2. Businesses are encourages to setup in-house Cloud Centre of Excellence (CCOE) that champion about cloud technologies.

3. Solutions must be "well-architected apps."

4. Hitachi Consulting provides end-to-end SAP on cloud services.



5. Cloud Operating Model
 5.1 Operations as code
 5.2 Automate everything

6. New HOT technologies : IoT + Serverless + AI

7. Four Phases of Effort : (i) Prototype (ii) Pilot (iii) Limited Production (iv) Scaled production
- First, work backwards to identify a set of customer needs.
- Select customer needs that can be addressed from Prototype through Limited Production in less than 12 months.

8. Check out about AWS embedded OS -> Amazon FreeRTOS

9. IoT project team members:
9.1 Device Programmer - skill in embedded system programming, IoT device management, batch fleet provisioning, real-time fleet index and search.
9.2 Fleet Manager - skills in cloud programming - scripting (NodeJS or Python)
9.3 Data Analyst - Skills in manipulate Business Analytics tools - IoT Analytics - Jupyter Notebooks - SageMaker
9.4 Security Engineer - skill with AWS IoT Device Defender
9.5 Cloud Developer - Front and back end programming - Serverless technologies - AWS Greengrass 

AWS Serverless + IoT

10. Check out AWS IoT 1-Click

11. Case studies in Machine Learning
- AWS ML Stack
-- ML Services
-- ML Platform
-- ML Framework

12. Amazon Lex to build Robo Advisor

13. Amazon SageMaker

Develop machine learning model via Amazon SageMaker 

14. AWS DeepLens hardware - USD120

15. Using GPGPU on AWS

16. AWS Deep Learning AMI

17. Machine learning takes time and technical debt.

18. [Insights from Data]
- What us valuable to your customer?
-- a. Solves a problem.
-- b. Easy to use.
-- c. Saves resources (time, money and energy).

[Customer Value Over Time]
 {{ TODO insert picture here ...}}
-- Increase conversion
-- Reverse conversion
 -- How easy is UI/UX ?
-- User want personalisation.
-- We provides gamification
-- How to monetisation works
-- User needs new services and new content
-- Exclusivity / reminders / notifications
-- Customer care
-- Recovery

 [AWS Training] 
1. Web site about AWS training is aws.amazon.com/training
2. Training steps:
-- New to AWS
-- Online Labs
-- Take a class
-- Go to AWS Certification (Iverson Sdn Bhd located at Centrepoint Bandar Utama).