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Korean cloud firm Megazone joins AWS to run AI training program
Megazone Cloud, a South Korea-based cloud services firm, said on May 4 it was selected by Amazon Web Services as the operations partner for AWS Agentic AI GameDay in South Korea.
The program is a hands-on training event led by AWS’s Generative AI Innovation Center.
Teams work on AI-related technical problems and design solutions for business use cases.
Megazone Cloud said more than 40 specialists will handle setup, session support, and problem-solving guidance.
Participants will use AWS tools including Amazon Bedrock, Bedrock AgentCore, and Strands Agents in a dedicated practice environment.
🔗 Source: Chosun Daily
🧠 Food for thought
Implications, context, and why it matters.
This partnership fits a wider global partner plan
- Megazone Cloud was picked to run AWS Agentic AI GameDay in South Korea. It also joined the AWS Generative AI Partner Innovation Alliance, which launched globally with nine consulting firms plus systems integrators 1.
- The alliance extends the reach of AWS’s Generative AI Innovation Center, which helps customers build and deploy generative AI systems 1.
- Other launch members include Deloitte, Booz Allen Hamilton, plus Rackspace, a cloud and IT services company. That places Megazone Cloud in the first partner group 1.
- AWS says 73% of initiatives at its Generative AI Innovation Center go from proof of concept to production. It uses that figure to argue that partner programs can produce measurable results 2.
Cloud companies are packaging adoption programs along with tools
- The hands-on event, run by AWS’s Generative AI Innovation Center, is meant to help South Korean companies get past theory-heavy AI training. The focus is solving technical and business problems 3.
- AWS says some Generative AI Innovation Center offerings can be ready in 45 days. That supports its claim that structured engagements can shorten the path from concept to production 2.
- As Amazon Bedrock and related services widen access to foundation models, competition is shifting toward implementation plus daily deployment support. That matters most for partners that can fit models into large-company workflows 4.
- This puts more weight on partner networks plus programs that help companies design, deploy, and scale AI systems, rather than model access alone 2.
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