How AI Can Drive Real Business Value Across Industries

In early 2017 at the China Big Data and AI Summit in Shanghai, the speaker emphasized focusing AI on commercial value, asking how AI can drive high growth, cost savings, agility, and solve persistent business problems.

The speaker noted AI’s history, citing milestones like IBM Deep Blue and AlphaGo, and argued that AI must be tied to business value beyond games.

A conversation with Professor Stephen Tsih about building an AI‑and‑blockchain academy concluded that a full university is unnecessary.

Case study: Algomethod in Chengdu uses IBM PMQ for predictive maintenance and quality, creating an AI‑powered cloud platform that reduces spare‑parts inventory, cuts energy consumption, and improves yield for industrial clients.

Case study: Accurate builds legal knowledge bases using IBM Watson Explorer, facing challenges of natural‑language processing, linguistics, and expert involvement, aiming to automate legal consulting and increase high‑value client returns.

AI’s potential in knowledge‑intensive professions such as doctors, lawyers, teachers, and accountants is highlighted, describing virtual assistants that can augment clinicians, increase patient throughput, and provide standardized expertise.

Education example: a partnership with a Beijing kindergarten and IBM Watson to create a virtual principal and AI‑driven assessment toys that evaluate child development and give guidance to teachers and parents.

In Japan, insurance and legal sectors use AI for claim processing, underwriting, and risk assessment, with Watson handling up to 30% of claim‑evaluation tasks.

The speaker warned that even a near‑perfect self‑learning algorithm carries residual error risk, making its use in critical infrastructure like nuclear plants or central banks unacceptable; this defines AI’s fault‑tolerance limits.

He distinguished “tolerant” AI applications (e.g., product recommendation, content moderation) where errors are acceptable, from “cognitive assistance” where AI supports experts by delivering refined knowledge.

Finally, he emphasized that AI is not magic or a scam but a powerful tool that requires responsible stewardship.