EP 45: How Shipping Intel is Redefining Maritime with AI

Energy Bytes

Dive deep into the revolutionary world of AI in the maritime industry with this episode of Energy Bytes! Join hosts Bobby and John as they chat with Cameron Amigo, the Maritime Data Guru at Orbit MI, and Jordan Taylor, Technical Advisor at Shipping Intel. This episode is packed with game-changing insights on how AI is transforming maritime operations, from open-source AI models like Llama 3.1 to the application of React methodology in creating efficient, domain-specific tasks.

Discover how the integration of AI and machine learning in the maritime sector is not only enhancing operational efficiency but also ensuring safety and reducing commercial risks. Our guests bring a wealth of experience, having sailed tankers, managed technical operations, and developed cutting-edge AI solutions tailored for maritime needs.

Cameron and Jordan share their journeys from maritime operations to becoming tech innovators, bringing invaluable insights from their hands-on experiences.

Maritime operations traditionally suffer from data silos and inefficient processes. Our guests discuss the industry's pain points and the need for innovative AI solutions.

Learn how the latest AI models and methodologies are providing solutions to complex maritime problems, enhancing everything from regulatory compliance to real-time operational efficiency.

Gain a deeper understanding of how AI is reshaping the maritime industry, making it safer, more efficient, and commercially viable.

Explore the unique challenges and opportunities presented by integrating AI in a traditionally conservative industry.

Peek into the future of AI in maritime and how it promises to revolutionize the industry even further.

Cameron Amigo, Advisor at Shipping Intel, and Jordan Taylor, Technical Advisor at Shipping Intel, bring decades of combined experience in maritime operations and AI technology. Their expertise and innovative thinking are driving significant advancements in the industry.

00:00 - Intro
00:41 - OpenAI's LLM Overview
02:02 - OpenAI's API Features
08:16 - Insights on Shipping Intel
17:34 - REACT and RAG Explained
19:56 - REACT Methodology Breakdown
22:45 - Importance of Context in Data
25:48 - Tagging and Annotating Data
26:37 - Document Structure Essentials
27:40 - Chunking Techniques
29:08 - Low-Code Tools for Data Science
29:53 - Future Trends in Data Science
32:36 - Pathways to Enter Data Science
33:44 - Data Maturity Significance
37:52 - Understanding Multimodal Models
38:52 - Querying Clean Datasets with OpenAI
42:50 - Reducing Bias in AI Models
45:23 - Trust Issues in Maritime Industry
48:35 - Gaining Stakeholder Buy-In
54:07 - Addressing Real World Problems
58:07 - Analyzing Sensor Data
1:00:24 - Future Improvements in AI Models
1:04:20 - Starlink and Connectivity
1:09:21 - Concerns about AI Language Development
1:11:14 - Rapid Fire Questions
1:15:00 - Camunda Overview
1:15:30 - Recommended Books

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