AI-Native innovation for the future, Megazone AIR starts with you.
Just as air is essential to life, AI is a core driver for business. Megazone AIR helps AI naturally infuse your enterprise, leading to smarter operations, faster decisions, and strong new growth potential.
With AI now as essential to business as air,
Are you ready to embrace a truly AI-Native transformation?
internal business data
ready for AI?
system to operate and
manage complex AI models?
risks, data control, and
regulatory compliance?
Megazone AIR
Megazone AIR: A Solid Foundation for AI-Native Innovation
Only organizations that are ready for AI can turn its infinite potential into reality. Megazone AIR goes beyond mere readiness; it is the core capability for companies to sustain innovation.
The AIR Innovation Lab is a hands-on innovation space where you can experience the latest generative AI technologies and establish quick win strategies for AI adoption. Through close collaboration with MegazoneCloud experts, you can create new business opportunities and build trust for the future by concretizing practical roadmaps and solutions.
Success Story
Discover the customer success stories
achieved with MegazoneCloud.
Only AI-ready organizations can fully unleash AI's potential. AIR provides strategies, tools, and services for diverse AI-based readiness, accelerating your AI-Native transformation with our accumulated expertise.
Background
- Standardized consultation patterns of existing scenario-based chatbots
- Lack of response information and increased resource demands for various inquiries by topic
- Need for management of vast, non-unified data
Results
- Flexible and expanded consultation services via generative AI chatbots
- Enhancing answer precision by analyzing user questions and discerning intent
- Improve data management efficiency through standardization
Background
- Limited to text-based product search
- Lack of natural language search makes it difficult to meet diverse customer needs
- Secure market leadership via proactive generative AI adoption, given its rarity in the industry
Results
- Optimize product search and data management for intuitive use and reduced effort
- Enables flexible data search by overcoming the constraints of text-based queries
- Improved accessibility to historical performance data for task execution
- Leverages generative AI to engage customers in purchases, boosting satisfaction and sales
Background
- Time is often consumed waiting for business units to extract requested table data
- Security concerns, such as inputting internal company information into generative AI
Results
- Improve generative AI for document Q&A and business BW data
- Builds a RAG pipeline optimized for generative AI, combining document-based knowledge retrieval with internal data catalogs (datasets) and metadata integration
Background
- Digitization of years of accumulated sales journal data
- Requirement to uncover hidden insights from accumulated sales journal data for business utilization
- Cannot be solved by simply applying search engines or basic LLMs
Results
- Develop a framework to utilize enterprise knowledge and documents with generative AI
- Implement a generative AI framework that adheres to enterprise security governance
- Improve access to historical performance data for task execution
- Form a culture that controls Shadow IT by embedding generative AI utilization
Background
- Employees struggle to manage vast business and legal data per inquiry
- Requires customized responses for diverse, complex cases with sensitive customer data
- External official documents are dispersed, making information difficult to access
Results
- Integrate and analyze vast, dispersed data using generative AI
- oost satisfaction: quickly understand complex questions, offer personalized answers
- Reliable, accurate answers from official external documents and legal data
Background
- Excessive time is spent manually searching for or creating information in document-based workflows
- Repeated Q&A and report drafting tasks cause resource inefficiencies
- Low accessibility of information in document form makes quick retrieval difficult
Results
- Automated document workflows increase productivity by reducing resources and time
- Generate accurate loan reports and offer reliable, data-driven answers through a Q&A chatbot
- Systematize quick and intuitive access to necessary information
AI & Data Experts, AIR
Access expert support for data analysis and AI model development
Projects
Number of Cloud-based AI/MLOps Data Platform Projects
Customers
Number of Clients for AI/Data Platform Projects
Tech Leader
AWS Data and Analytics Competency, DBX Elite Partner, AWS GenAI Competency (TBH)
Countries
AIR (GenAI360) Offering Geo Expansion: North America (Canada), Japan, Hong Kong, Vietnam