Page 23: of Maritime Reporter Magazine (August 2026)

IINO LINES

AI MOVES BEYOND BUZZWORD INNOVATION AS A COMPETITIVE DISCIPLINE

Few topics dominate technology discussions today more For IINO Lines, innovation is not measured by the number than arti? cial intelligence, and Togasaki sees enormous po- of technologies evaluated. It is measured by disciplined de- tential for AI throughout maritime operations. “I’m a big fan cision making. Every startup meeting, pilot installation and of AI,” he said. “I use it every day.” proof-of-concept trial ultimately serves the same purpose:

He believes the maritime industry’s adoption curve will mirror determining whether a technology can improve ? eet perfor- the rapid transformation already occurring in everyday business. mance in measurable ways.

“If you look at how fast things are changing by AI in our » Some projects shorten fuel consumption.

daily life, I am pretty sure the same thing will happen in the » Others prepare crews for a future of increasing maritime industry.” One area receiving particular attention is automation.

marine engineering. Modern vessels continuously generate » Still others convert growing streams of vessel enormous volumes of operational information. According to data into better operational decisions.

Togasaki, new ships can produce approximately 3,000 engine Viewed individually, each project addresses a speci? c chal- data points every minute. Collecting information, however, is lenge. Viewed collectively, they represent something larger: only the ? rst step. The challenge lies in converting raw num- a systematic approach to ensuring that a traditional shipping bers into actionable operational intelligence. company remains competitive in an industry undergoing rapid “We need to analyze it and turn it into meaningful data like technological transformation.

predictive maintenance and fuel e? ciency,” he said. For Togasaki, the formula remains remarkably consistent.

Historically, those decisions depended largely upon experi- • Find promising technologies early.

enced marine engineers. • Test them rigorously.

Increasingly, AI may provide another analytical layer capable • Learn from every trial.

of identifying patterns invisible through traditional monitoring. • Scale only what delivers real operational value.

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