AI in Maritime & Logistics Workshop

The Port of New Orleans and NOPB, in partnership with UTC Transoceanic, are deploying patented AI-powered rail clearance technology and a real-time digital twin of the NOPB rail network on the Palantir Foundry platform. The customer-facing TEID-RDC application lets shippers enter cargo dimensions, weight, and railcar specifications to determine almost immediately whether oversized cargo can move through the network and to recommend optimal routing — compressing what has traditionally taken weeks of engineering studies.

A report from live, daily use of Manifold's platform running AI research against primary sources for real terminal operations — not a demo. Covers what the technology finds that people miss, what it gets wrong (fabricated docket numbers; a stale directory trusted over a company's own website; a permit sheet contradicting the research), and the short checklist any operator can apply to any vendor. Takeaway: already good enough to be useful, not yet good enough to trust — and every implementation failure lives in the gap between the two.

A broad EPC-industry perspective on digital transformation: why and how organizations should approach it, key areas requiring investment, common pitfalls to avoid, managing organizational change and stakeholder alignment, and building sustainable digital capabilities and adoption.

Disclaimer: The views expressed in this contribution are Mr. Gangrade's own and do not represent those of Larsen & Toubro Limited.

Empowering shippers to reduce operational risk and make better decisions in an increasingly disruptive business environment. Through practical, real-world use cases, Sam will demonstrate how AI and machine learning can identify freight consolidation opportunities, proactively manage risks and exceptions, and reduce administrative overhead and costs.