Mitsubishi Electric: AI cuts a 90-hour job to 1.5 hours at Snowflake World Tour Tokyo 2026

The Tokyo stop of Snowflake World Tour 2026, held Sept 10–11 at the Grand Prince Hotel New Takanawa, served as the stage for Mitsubishi Electric to connect two efforts it presents as linked: upskilling people and making data usable by AI. On the first day, DX Innovation Center's Yoshihiro Tomaru and Human Resources Innovation Center's Masayuki Meguro walked through "Circular Digital Engineering" and the Serendie talent platform, while Meguro described the DX Innovation Academy — a staged curriculum designed to push learning into actual job use, with the stated aim of 20,000 DX specialists by fiscal 2030.

On day two, Ryosuke Kaida of the DX Innovation Center and Takahiro Toku of the AX Innovation Center addressed making data "AI Ready" on Snowflake, including the governance and architecture that requires. Kaida's example was the concrete number the company chose to highlight: a 90-hour analysis task compressed to 1.5 hours, about a 60× speedup. Toku's portion framed the same work under a stated target of doubling operational efficiency, achieved by automating non-core tasks and raising the sophistication of core ones — a combination the company says drew strong attention from the audience.

The through-line, based on what the presenters outlined, is that Mitsubishi Electric is presenting AI adoption not as a tool rollout but as a paired exercise in data preparation and workforce building, with the academy's fiscal 2030 target and the efficiency-doubling goal serving as the two stated yardsticks.