Beyond Monitoring: How Data Science Fuels Smarter Offshore Operations

Apr 30, 2025 | Webinars

Hosted by Digital ship on the 29th of April, this webinar highlighted how data science can best be used to help shipowners and charterers identify ways to improve the efficiency of maritime operations and generate returns.

Improving vessel performance starts with one key element: reliable data. But data from vessels is often fragmented, inconsistent, or slightly incorrect, enough to impact analysis. A faulty flowmeter, an inaccurate AIS signal, or a missing time log can distort entire performance reports. Traditional data validation methods often miss these small but impactful errors.

When data quality is poor, operational inefficiencies increase. Vessel performance monitoring becomes unreliable. Even worse, companies may make decisions based on flawed assumptions, leading to wasted fuel, missed savings, and reduced operational control. Small issues like a delayed status update or a broken sensor can snowball into bigger inefficiencies, especially across large fleets.

Learn how data science is used to improve data quality related to vessel performance and ensure companies efficiently manage their vessels.

With advanced algorithms, AI, and pattern detection, data science helps identify outliers and anomalies that human checks and basic tools often miss. This approach flags suspicious data and recommends corrections or confidence levels, enhancing trust in performance metrics.

Led by Samanth Chinta, Opsealog’s Data Science Lead, the webinar dives into practical use cases, including:

  • Detecting inconsistent fuel consumption patterns
  • Identifying location data mismatches
  • Reducing dependency on manual reporting

🎥 Watch the webinar replay now:


About the speaker

Samanth Chinta has over a decade of experience as an analyst, product manager, and data scientist across multiple industries. At Opsealog, he built the data science roadmap, turning complex maritime data challenges into product-integrated solutions.

linkedin.com/in/chintasamanth

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