Greg Little’s Post

Data workflows… Starts with who’s talking to whom (information exchanges’) Then their systems that each as a ‘role’ - contributor - editor : the human - machine portion of the reference architecture Then the configured element being the ports / protocols that machines use to exchange their information - the machine to machine …. The hidden exchange is the data as it is introduced / shared / changed … data exchanges Reference Architecture…… Mission Organization People Machines Systems Data

For anyone who wants to know how #ai and #datadriven decisions will change warfighting, this article by Greg Little and some of our Army/USMC leaders is a great piece with vision and practical insights the change that's underway. To add my own insight, I still observe 3 camps of digital technologies have gained popularity in their own regard, but rarely have been stirred up, shaken together, and integrated as a whole... #AI, #DevSecOps, and #MBSE. The explosion of interest of LLMs/GenAI has effectively "operationalized" AI in people's lives that may have never used it before. An Artificial Neural Network or simply "greedy algorithms" were terms for mainly data scientists, but #LLMs are now common vernacular from teenagers to retirees. Without a doubt, AI and DevSecOps are quickly mingling and will make AI operational, accessible, and useful. Is #MBSE the remaining lone ranger in this tech trio? Perhaps too many associate it with a buzz word, a tried discipline that didn't deliver on its initial expectations, or a costly experiment of the DoD. This excellent article essentially describes the real purpose behind #MBSE without naming it directly - ontology. "Ontology, a term borrowed from philosophical discourse but increasingly relevant in information science, refers to a systematic framework that categorizes and organizes digital knowledge. It provides a structured way to represent relationships between different pieces of information, facilitating a common understanding and interoperability among various automated systems." One reason that #MBSE hasn't be as accepted is that too often, people associate it with tool vendors vs. the power of the #SysML foundational ontology, and we have not yet received cleared military-based ontologies in the form of SysML metamodels, libraries, and profiles. IMO, the best is still to come... the SysML Version 2 language will be finalized this year and it will look much more like source code (in its textual notation). Imagine a military data ontology that looks with JSON with an elegant Java-like notation that full defines the structure and interfaces of complex military systems, the behavioral workflows of warfighting, and the performance-based parametrics to gain optimized advantage... all traced to "little R" operational requirements. Am I too daring to think that #MBSE will join its counterparts, #AI and #DevSecOps to become the tech trio for future, data-driven warfighting? Please comment and let me know your thoughts.

Beyond Chat. Ontology + LLMs. If you talk to the world's leading AI Labs that have attended AIP Bootcamps, they will all tell you the same thing: Palantir is way ahead on implementation for value and the only company doing serious enterprise work harnessing the power of their LLMs. Why? How? This isn't about techniques or a more clever way to do RAG...or everyone else would already have figured it out. It is about 20 years of investment in a category no one else thought was needed: Ontology. LLMs need Ontology to be unleashed. All value comes from the elegant integration of software, AI, and workflow. CDC and FAA have awesome usecases in production. But this bootcamps are coming to a DoD theater near you! Sean Batir build a pretty powerful AIP Logic backed function at the most recent EUCOM hackathon. And with OSDK, you can integrate these AIP Logic functions into your existing applications and pixels.

We must adapt to new ways to pair the art of command with the science of control…

“The entire joint force, and with our U.K. and Australian teammates and allies, we were able to effectively move data for the first time in an Indo-Pacific scenario at a magnitude never seen before,” LTG Ross Coffman 🌏 Thanks to the efforts of multiple stakeholders, the Army was able to demonstrate the passing of magnitudes of data from various sensors spread across multiple layers to a variety of different Army, Joint, and multi-national commands. All of this in an effort to bolster #DecisionMaking at the speed and scale necessary to succeed in #MultiDomainOperations. 🛰 Although this initial win is not the end-state, this success highlights how #PersistentExperimentation can have significant payoffs for achieving national security objectives. However, it takes a team of dedicated individuals in coordination with the broader community of interest members to realize this end state and deliver relevant #Insights to commanders on the ground at greater speeds, scale, and relevancy. The Army ISR Task Force is proud to have contributed to these efforts and look forward to doing the hard work necessary to get these concepts and capabilities across the finish line and into the hands of the intel warfighter. PEO IEW&S | Army Futures Command | U.S. Army Joint Modernization Command | #ProjectConvergenceCapstone4 https://lnkd.in/esdezSHy

GEN George, US Army Chief of Staff, recently stated the Army will reduce time spent on vehicle maintenance across the force with “modest changes” to maintenance intervals in the service’s fleet of vehicles. The saved hours will give Soldiers more time to train and spend with families. The Army’s top uniformed leader said the nation’s largest military branch must find ways to continually transform, including developing methods to better access and process data while enabling machine learning…..(https://lnkd.in/g7bFQ-Wd). “We have to ruthlessly prioritize how we use time and resources,” George said. Separately, ASA(ALT) has repeatedly spoken about technology solutions that must be MOSA, platform-agnostic, non-proprietary, and fairly priced. I’ve lived these challenges – as many of you have/do. We have Readiness solutions to these challenges – within the parameters listed above. If you haven’t watched already, please watch! SparkCognition Government Systems (SGS) #readiness #ai/ml https://lnkd.in/g3YVmxan

One of the many concepts and principles that was touched on at the National Defense University during my matriculation is data is indeed the new oil of this generation. Hence the reason I completed my research paper on leveraging AI for capability development.

"AI on the Frontline: A New Era of Defense 🚀🛡️ OpenAI ushers in a transformative era with AI now set to revolutionize open military action. A blend of strategic prowess and cutting-edge AI is redefining defense capabilities. Dive deeper into this groundbreaking advancement at daily.ai. The future of military operations is here, smarter and more responsive. #SystemHeuristics #SH #AIinDefense #MilitaryInnovation #OpenAIAdvances"

The #USArmy is modernizing and is looking for new solutions to support learning, training, and success. They are looking toward private industries to assist them in their path forward. This means that there are opportunities for #GovernmentContracts in the armored vehicle, logistics, and #AI sectors. Be a part of shaping the future of the U.S. Military by seeking out a contract today! #FederalContracts

OpenAI's Lobbyists Are Targeting The Pentagon And Other Defense Agencies - Forbes: OpenAI's Lobbyists Are Targeting The Pentagon And Other Defense Agencies  Forbes http://dlvr.it/T2Rs3y #ai #artificialintelligence