No one can go it alone. Good advisors and industry-wide cooperation are needed to advance the field.
From zoology and physics to designing algorithms.
And demand for their expertise is only going up.
Here’s a powerful example of how your company can put data to work.
Applying some software engineering principles to our data science pipeline led to great results. Here’s what we learned.
The next evolution of the internet will turn users into owners — anathema to Silicon Valley’s ethos of growing larger and centralizing power at all costs.
To avoid unintended consequences, startups need AI sentries to sound the alarm about algorithms behaving badly.
Just because something is low code doesn’t mean it’s low maintenance.
This open-source Python development framework can help you quantify and eradicate unconscious bias in job descriptions.
Kubernetes is going to cause a formal rift between software engineers and what we will call platform engineers.
