There’s no shortage of resources and tools for developing machine learning algorithms. But when it comes to putting those algorithms into production for inference, outside of AWS’s popular SageMaker, there’s not a lot to choose from. Now a startup called Cortex Labs is looking to seize the opportunity with an open source tool designed to take the mystery and hassle out of productionalizing machine learning models.
Infrastructure is almost an afterthought in data science today, according to Cortex Labs co-founder and CEO Omer Spillinger. A ton of energy is going into choosing how to attack problems with data – why, use machine learning of course! But when it comes to actually deploying those machine learning models into the real world, it’s relatively quiet.
[Source: Datanami]
