The Future of AI Orchestration in Subsea Inspection

IBM recently explained why AI orchestration is crucial in today’s advanced technology landscape. With the increasing complexity of AI systems, a single AI model or agent may not be sufficient to handle intricate tasks. This often leads to siloed operations and inefficiencies in autonomous systems built across multiple clouds and applications.

AI agent orchestration bridges these gaps by enabling multiple AI agents to collaborate efficiently, ensuring seamless execution of complex tasks. In practical terms, AI agent orchestration functions like a digital symphony, orchestrating various AI agents to work in harmony.

One area where AI agent orchestration is gaining traction is in subsea inspection work. Professor Eyad Elyan, Dr Thanh Nguyen of Robert Gordon University, and Martin Longmuir of AquaTerra recently shared their insights in a thought leadership piece published by the National Subsea Centre in Aberdeen.

They envision automating inspection processes and reporting for tubular structures like caissons and marine piles. By utilizing multiple AI agents, such as computer-vision agents for image data processing and numerical analysis agents for data interpretation, inspections can be conducted more efficiently and accurately.

The orchestrator AI plays a crucial role in assigning tasks to agents based on their expertise and combining their outputs to generate cohesive insights. This ensures timely and accurate risk assessments by synchronizing imaging agents with numerical agents analyzing environmental data.

Moreover, a specialized reporting agent can autonomously generate inspection reports tailored to various stakeholders, integrating contextual information and adapting its tone and level of detail as needed. This balance between adaptability and precision is essential for effective communication in the industry.

Types of AI Orchestrators

IBM defines four types of orchestrators:

• Centralized Orchestration: A single AI orchestrator agent acts as the “brain” of the system.
• Decentralized Orchestration: AI agents make independent decisions or reach a consensus as a group.
• Hierarchical Orchestration: AI agents are arranged in layers, resembling a tiered command structure.
• Federated Orchestration: Independent AI agents collaborate without fully sharing data or relinquishing control over their individual systems.

As AI systems evolve, AI agent orchestration will play an increasingly vital role in unlocking their full potential. By leveraging multiple AI agents in a harmonized approach, industries like subsea inspection can benefit from enhanced efficiency, accuracy, and seamless collaboration.