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Episode 122: Why Maritime Needs a Data Utility, Not Another App – Ari Marjamaa, Raa Labs

Episode Overview:

Raa Labs helps maritime businesses collect, organize, and share high-quality operational vessel data—onboard and onshore—so owners and operators can run analytics anywhere. Ari explains why Raa Labs acts like a “data utility layer”.  This turns messy inputs into trusted signals, and what it takes to drive adoption from bridge to boardroom.

Sponsor: KVH keeps fleets connected with a hybrid OneWeb + Starlink solution managed by one trusted partner. Learn more at kvh.com.

Want to advertise with the podcast? Contact our friends at Digital Ship.

Key Points:

  1. Data Utility Model: Deliver clean, contextualized data that any analytics tool can use—plumbing first, dashboards later.
  2. Horizontal, Not Vertical: Standardize and route data independent of OEM/app silos.
  3. Standardization by Software: A contextualization engine converts mixed units/labels into consistent outputs.
  4. Crew Workload: Use sensor data to auto-populate reports; crews validate instead of retyping.
  5. Adoption = Org Change: Exec buy-in, clear use cases, new team structures, and internal champions drive scale.
  6. Decarb & ROI: Voyage optimization + precise reporting support EU ETS/compliance while cutting fuel.

Learn More: Related perspective on ROI for owners: Joy Basu (Smart Ship Hub).
Tune in Now: Spotify, Apple Podcasts, YouTube.

Music by: Peg and The Rejected “King of SKA” • Art: GA Design • Produced by: Chris Aversano

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Chris

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