Amazon Web Services (AWS) has revealed new and updated courses for partners in the areas of advanced migration, security governance and machine learning.  

Among the new courses the cloud vendor has made available via its AWS Training and Certification function is AWS Solutions Training for Partners: Advanced Migrating to AWS (Technical), an advanced course that provides prescriptive guidance on how to migrate workloads at scale.  

This course also covers common migration patterns and challenges in large-scale migrations.  

With this course, partners will learn how to identify use cases for re-hosting, re-platforming and re-factoring legacy applications to AWS Cloud. Partners will also learn how to determine which applications are good candidates for automated modernisation.

Also available is the AWS Solutions Training for Partners: Security Governance at Scale (Business) course, which is designed to help sales and business professionals learn how to qualify customer opportunities around security governance at scale.  

This course covers topics such as AWS account management, cost control, security and compliance through automation, along with best practices for establishing an automated, simplified, and secure framework for governance at scale.  

AWS has also launched a major update to its AWS Solutions Training for Partners: Machine Learning on AWS (Business) digital course.

This update will see partners learn how to identify and qualify customer machine learning (ML) opportunities, how to help customers navigate the ML solution-building process and how to use such experience to build an AWS ML solutions practice.

The post AWS unveils fresh migration, cloud governance and machine learning partner training appeared first on Artificial Intelligence.

KEB Hana Bank on Monday announced an upgrade to its digital evolution by completing big data platform designed to analyze and utilize its stock of internal and external data related to transactions and customer services. 

The banking industry’s first big data system dubbed Hana Big Data Platform was built by a consortium of SK C&Ca and management consultancy PwC Consulting. 

The new system approaches not only structured and unstructured internal data but also public and social media data for data collection and analysis to support business decision-making, which was impossible with relational database platforms and traditional data warehouse. 

The new system has an analytical environment based on Sandbox (security software to enable program activation only when protected), which can prevent system overload, or the risk of data deletion and distortion, according to the bank. The new system also provides an independent space and tools for analysis for data analysts. 

The bank is already leveraging the system to support decision-making in channel optimization with branch office integration, prediction of corporate debt default, suggestions for optimal plans for customers, creation of visualized reports based on reputation data collected, and recommendations for new loans based on customer lifestyle analysis.

The post KEB Hana Bank speeds up digital migration via new big data platform appeared first on Artificial Intelligence.