Enterprise data has no meaning until the ontology is ready-made. Fragments in ERP/MES aren't understanding. Commoditize the shared model. Stop inventing a private religion of terms.

A simple idea - what if AI could actually understand how your business works, and keep an eye on things for you? That’s what we’re building with PatternLab Neuron. Excited to finally put it out there.

Human race has come this far because there is no guardrails to what we can imagine and deliver. I don’t think acceleration of technology can be stopped in anyway. AGI or not, we thrive to find the next frontier

Tell me how enterprise AI is going to look like.

Elon musk isn’t an extra ordinary entrepreneur because he is wealthy but also because he pushes what is possible in every area of technology and challenges the status quo

GTA 6 looks incredible, super excited for the future of gaming. Probably will see a top 10 gaming company in the world

Massive structural advantage for building on graph databases for enterprises over relational DBs because of the cost and time spent to build the AI enablement layer Not sure how many people get this drift yet..

They shipped hosting as a changelog, not a keynote. Cursor put Origin in the log. Repos, PRs, agents in the same place. GitHub stays the record if you started there. If you actually ship, the feed is the changelog. Not a launch film.

Another model in the picker is not a planning system. Last week Palantir added Gemini, Gemma, and Grok to AIP. That is a catalog update. A plant still needs a shared meaning of order, batch, and promise, and one writer of the plan. Swapping the model is easy. Making operations agree is the work.

I’m going to bet that 70% of all enterprises will convert by 2029 to an AI native operating system for planning over legacy system of records Relational DBs are not built for AI but for storing data..

Im new to posting on X.. working on disrupting consultants using graph engineering and agents, we think it can change how enterprise resource planning can be done. Especially the cost and time for setting up is too much, right?

If your AI still needs a glossary meeting to answer one question, you don't have meaning. You have columns. Commoditize the shared model.