Modern Day Marine '26

Acting SECNAV Hung Cao + CMC Gen Eric Smith. Official kickoff.

Team-based prototyping and development. Sponsored by LtGen Sklenka (DC I&L).

350+ exhibitors. Focus on AI/data analytics and logistics vendors.

Executive-level briefings from senior USMC leadership.

MCSC, PEO Land, NAVAIR. Watch for LI2S-MC and logistics IT modernization updates.

Unmanned systems, counter-UAS operator-industry exchange.

Computer and tabletop wargaming for professional development.

Networking opportunity.

Notable networking event with congressional staff and leadership.

Continued development and prototyping.

Acquisition forecasts and contracting strategies. Critical for Navaide's pursuit planning.

Evening awards ceremony. Black-tie optional networking.

Judging and recognition of hackathon teams. See what solutions emerged from the 4-day sprint.

Official closing of Modern Day Marine 2026.

6 deployed DXTs across II MEF, LOGCOM, MARFORPAC, MCWL, DC M&RA, MARFORCYBER. 2 more planned for I MEF and III MEF. If DXT members are presenting, talk to them about their AI/ML tools for logistics. They're building the same capabilities you support.

Designated as the preferred LLM platform for ALL Marines, civilians, and contractors. Google Gemini first model. GrokAI coming. Key point: This is the enterprise platform you should be integrating into your I&L/LPI workflows.

56-page roadmap covering mission alignment, workforce development, scalable infrastructure, governance, partners. By Spring 2026: leaders should have a use-case prioritization process and identified roadblocks.

USMC's primary initiative for AI-powered C2 modernization. Resilient joint mesh network connecting sensors and weapons. Leads USMC integration of Palantir Maven Smart System. This is the connective tissue between logistics AI and tactical operations.

Moving from static supply packages to adaptive AI-driven supply. ML analyzes aircraft config, operational tempo, environment, mission profiles, failure rates. Goal: 15-25% readiness + 20-30% inventory cost reduction.

ODSSHI (Osprey vibration sensors) on MV-22B drive systems. Maintenance Assessment Tool going to MCAS Yuma in Summer 2026. F-35 data catalogued since 2022. Extending to KC-130J.

Fusing NALCOMIS + M-SHARP + GCSS-MC data. AI-enabled flight scheduling, maintenance scheduling, operational optimization. This is the data integration challenge you face at I&L/LPI.

$2.07M OSD-funded contract at MAG-39 (Camp Pendleton). ML simulates supply/maintenance, forecasts demand. Results: 20% reduction in purchasing costs, 40% less materiel managed without compromising readiness. Also has a USMC Medical Logistics contract. Ask them about GCSS-MC integration.

Working with DIU and LOGCOM on Condition-Based Maintenance Plus. Transforms sensor data into real-time recommendations. Ask about integration with GCSS-MC / MDR data.

Sponsored by LtGen Sklenka (DC I&L — your chain of command). Hosted by MARCORLOGCOM CDAO. Focus areas:

Hackathon uses Nemotron-3-120B-Super LLM and Cosmos-Reason2 vision models. Three participant categories: Hackers (AI/ML/DS), SMEs, and Support.

You are the bridge.

Former Marine Supply Admin who lived the logistics pain — now the contractor building AI/ML solutions to fix it. That's a story nobody else at this conference can tell.

Your HQMC I&L/LPI portfolio puts you at the center of every AI logistics initiative on the floor. The LOGCOM AI Symposium? That's your program office. The hackathon? Your boss (LtGen Sklenka) sponsored it. The data integration challenge (GCSS-MC to M-SHARP to NALCOMIS)? That's your daily work.

You're not just attending. You're the person the exhibitors should be talking to.

1. "How does this integrate with GCSS-MC or the Master Data Repository?"
2. "Have you worked with MARCORLOGCOM CDAO? What was the use case?"
3. "Can this run on GenAI.mil or does it need its own infrastructure?"
4. "How do you handle data quality issues in transactional logistics data?"
5. "What's your experience with the AI Implementation Plan (NAVMC 3000.1) requirements?"

Data quality is the #1 risk. The Marine Corps Logistics Association has warned about GIGO (garbage in, garbage out). GCSS-MC data quality depends on transactional user accuracy. No single owner of logistics information management.

Training is the #1 need. Cited at the March 2026 Generative AI Workshop at Quantico. Marines won't use what they don't trust.

Data silos are still real. NALCOMIS, M-SHARP, GCSS-MC — breaking these apart is the core mission. Any vendor claiming "easy integration" needs proof.

Runs all 4 days. Sponsored by your chain of command (LtGen Sklenka). This is where the AI logistics future is being prototyped this week. Attend, observe, connect.

Former Marine + current HQMC I&L/LPI AI/ML contractor. Walk the floor with that story. You're not a buyer — you're a builder.

Tagup has hard numbers (20% cost reduction, 40% less materiel). Uptake has DIU + LOGCOM partnership. These are the models for what your team should be building.

Designated Jan 2026 as the enterprise AI platform. Any LLM-based solution you recommend for I&L should be GenAI.mil-compatible.

GCSS-MC transactional accuracy, data silos between NALCOMIS/M-SHARP/GCSS-MC, no single data owner. If you can solve the data quality problem, the AI models will follow.