Hey, this is Mike from Algorithmia. We'll have team members answer any questions you may have about machine learning infrastructure here. Feel free to ask.
Idea: If you made every government paycheck and contractor payment made with this currency it would be enough to become a standard of payment, and if you required taxes to be paid with it you'd always have demand.
Aren't they already? Government paychecks and contractor payments are typically direct deposit or electronic funds transfer. My paycheck was deposited directly in my bank account. My contractor payments were, as well. As long as the USDC and USD are the same, it doesn't make a difference.
If you talk to a sales person from any third party ad service and ask questions about what you can do with data—you'll find there is an entire market of buying and selling data from every cell company, credit card company, banks, corporate rewards cards, voting records and donations, etc.
If you use Algorithmia.com you can add your model in the language of your choice (on GPUs if you want) and it will do all of the Devops and give you an API end point. You get free credits at sign up and quite a few each month for testing.
Seattle — "infrastructure"
We build the infrastructure for the "start ups" in SF to use the "money" from NYC.
We began by selling mining equipment and travel to the SF startups that ventured to the Alaska Gold Rush.
We grew up building the airplanes and ships for the expanding US military (Boeing & Lockheed Shipbuilding).
We built the supply chains that run the global economy (Amazon, Costco, Expeditors Intl, UPS, Paccar)
We built the software infrastructure for the computer revolution (Microsoft).
We built the infrastructure for the cloud (AWS, Azure, GCP, F5, etc.)
We built the infrastructure for video games (Nintendo, Steam, Xbox)
We're building the infrastructure for AI/ML (All the major players are setting up their AI/ML hubs in Seattle)
With the big guys you get a very productized API service. With the AI Marketplace we have thousands of algorithms that are constantly being improved and can easily be pipelined together. As more models are added from our data science / ML community you can easily upgrade your application by swapping out the APIs for the models.
