Business, Technical Why hire brilliant when average will do? About meI've recruited, hired, and worked directly with ~50 technical workers over the last 8 years. And by "worked with" I mean actually worked with. Gone to client meetings with
Business MLOps = more money If you are a business person wondering why you should invest in DevOps / MLOps, this is your guide in terms of real live money. We'll try to keep this as non-technical as possible.
Careers, Technical Hiring: Data Engineers, Data Scientists So here's the deal at the time of this writing: we've got a newly created sales team that is starting to fill up our newly created sales funnel.
Careers Working at DareData Update: This post was updated in August of 2022 to more accurately reflect the changes our business has undergone as we grow and adapt. Fundamentally our mission, vision, values, and
Technical Ghost is better than Medium We wrote our first few blogs on Medium. Medium was easy to get started with and use. After that, the benefits stopped. Medium does not have a sustainable business model
Business, Cloud Own your data - on the cloud When evaluating data collection platforms, many business owners end up being faced with a technically strategic choice without even knowing it. As you check the value props of services like
Business, COVID-19 Free Sales Forecasts Increase your business’ chances of survival by arming yourself with the best information possible. Are you worried about the long term health of your business?If so, you’re not
Technical, COVID-19 COVID-19 Economic Recovery Model DISCLAIMER We are not economists. We are not epidemiologists. This is not an academic paper and has not gone through a peer review process. All core assumptions that are related
Technical The practical path to AI The path to Machine Learning and AI is not a simple or easy one. On the philosophical side, the field is young and our society is still grappling with what
Business DareData Manifesto Our VisionThe DareData vision is to see machine learning and artificial intelligence democratized worldwide. As of this writing, world-class machine learning and artificial intelligence capabilities are largely concentrated in the hands of a few huge governmental and corporate players. If not properly distributed throughout
