KDDI Eyelet Corporation, an AI integrator that accelerates the social implementation of AI by integrating its track record in cloud and multi-cloud deployments with cutting-edge AI technology, will begin offering its new service, “AI-Driven Development on Google Cloud,” from Wednesday, July 8, 2026.
This service leverages the strengths unique to Google products, including Google Cloud’s cutting-edge AI technology, enterprise-level security and privacy protection, a data infrastructure that supports data democratization, and seamless integration with Google Workspace. It provides one-stop support from AI strategy formulation to system development, data infrastructure construction, application development, and operation. Furthermore, AI-driven development transforms the entire system development lifecycle, enabling companies to solve various system challenges, such as new system development and legacy system modernization, quickly and cost-effectively.
In recent years, advancements in generative AI have led to a rapid expansion of AI utilization in businesses, aimed at improving operational efficiency and creating new services. However, many companies remain limited to introducing AI tools or conducting proof-of-concept (PoC), failing to fully integrate AI into system development and overall business processes. Challenges include balancing development speed and quality, and addressing labor shortages.
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Therefore, KDDI Eyelet will leverage its extensive experience in Google Cloud implementation, cloud-native development, and generative AI utilization to launch “AI-Driven Development on Google Cloud,” which integrates AI into the entire development lifecycle. Going beyond traditional AI utilization support, KDDI Eyelet will thoroughly utilize AI from planning and design to development, testing, operation, and improvement, optimizing and accelerating the entire development process to enable companies to rapidly create new businesses and achieve AI transformation (AX).
“AI-Driven Development on Google Cloud” is a service that leverages Google Cloud’s generative AI and cloud services to drive the entire system development lifecycle, from planning and requirements definition to development, testing, operation, and improvement, with AI at the center.
SOURCE: PRTimes


