When and where will MCD3 Corporation exhibit its new PL-Direct Simulation AI at the AI & Artificial Intelligence EXPO?

MCD3 will exhibit at the 10th AI & Artificial Intelligence EXPO Spring held at Tokyo Big Sight in Tokyo from Wednesday, April 15 to Friday, April 17, 2026.

Who is the Representative Director and President of MCD3 Corporation that will lead the presentation at the Expo?

Masao Iida is the Representative Director and President of MCD3 Corporation, a wholly‑owned subsidiary of Mitsubishi Corporation, and will lead the presentation at the Expo.

What specific management decision areas does the PL-Direct Simulation AI target, and how does it simulate financial impacts?

The PL-Direct Simulation AI targets advanced investment decisions, capital investment proposals, and new business projects, instantly simulating impacts on return on investment (ROI) and earnings before interest, taxes, depreciation, and amortization (EBITDA).

How does MCD3 plan to move beyond defensive digital transformation to create revenue in core management areas according to the exhibition announcement?

MCD3 plans to move beyond defensive DX by showcasing case studies and a roadmap that use AI to generate profit‑and‑loss improvements in core areas such as investment decisions, supply‑demand adjustments, and overall revenue creation.

Which booth number will MCD3 occupy at the Tokyo Big Sight venue, and what type of solutions will be demonstrated there?

MCD3 will occupy booth numbers 13 through 16 at Tokyo Big Sight, where it will demonstrate total AI implementation solutions that address complex variables and on‑site constraints specific to large corporations.

AI News NQ Analysis

From 'AI for Use' to 'AI for Revenue Creation': Mitsubishi Corporation Group's MCD3 Unveils 'PL-Direct Simulation AI' to Enhance Management Decisions at AI & Artificial Intelligence EXPO

NQ Score 100/100

AI Summary (NQ-processed)

MCD3, a wholly-owned subsidiary of Mitsubishi Corporation, will exhibit its 'PL-Direct Simulation AI' at the 10th AI & Artificial Intelligence EXPO. This solution aims to transition companies from efficiency-focused DX to AI utilization that directly generates profit, offering advanced investment decision-making, portfolio optimization, and logistics planning. It tackles the current 'plateau' in DX adoption by providing robust implementation capabilities for large enterprises facing complex variables and operational constraints.

AI analysis data is not yet available.

Frequently Asked Questions

Q: When and where will MCD3 Corporation exhibit its new PL-Direct Simulation AI at the AI & Artificial Intelligence EXPO?: A: MCD3 will exhibit at the 10th AI & Artificial Intelligence EXPO Spring held at Tokyo Big Sight in Tokyo from Wednesday, April 15 to Friday, April 17, 2026.
Q: Who is the Representative Director and President of MCD3 Corporation that will lead the presentation at the Expo?: A: Masao Iida is the Representative Director and President of MCD3 Corporation, a wholly‑owned subsidiary of Mitsubishi Corporation, and will lead the presentation at the Expo.
Q: What specific management decision areas does the PL-Direct Simulation AI target, and how does it simulate financial impacts?: A: The PL-Direct Simulation AI targets advanced investment decisions, capital investment proposals, and new business projects, instantly simulating impacts on return on investment (ROI) and earnings before interest, taxes, depreciation, and amortization (EBITDA).
Q: How does MCD3 plan to move beyond defensive digital transformation to create revenue in core management areas according to the exhibition announcement?: A: MCD3 plans to move beyond defensive DX by showcasing case studies and a roadmap that use AI to generate profit‑and‑loss improvements in core areas such as investment decisions, supply‑demand adjustments, and overall revenue creation.
Q: Which booth number will MCD3 occupy at the Tokyo Big Sight venue, and what type of solutions will be demonstrated there?: A: MCD3 will occupy booth numbers 13 through 16 at Tokyo Big Sight, where it will demonstrate total AI implementation solutions that address complex variables and on‑site constraints specific to large corporations.