MLOps: The Assembly Line of Machine Learning
MLOps: The Assembly Line of Machine Learning


The catalyst for the success of automobiles came not through the invention of the car but rather through the establishment of an innovative assembly line. History shows us that the ability to mass-produce and distribute a product is the key to driving the adoption of any innovation, and machine learning is no different. MLOps is the assembly line of Machine Learning. In this presentation, phData Chief Machine Learning Architect Jordan Birdsell will discuss the core capabilities your organization should be focused on to implement a successful MLOps system.


With more than 10 years of experience launching successful analytics and data science organizations at large enterprises, Jordan Birdsell now brings his expertise and knowledge to our clients around the globe. As head of machine learning services at phData, Jordan and his team help companies escape from the endless loop of machine learning POCs and move them into driving real value.

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Consent to display content from - Youtube
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google