PinnedJustin GageData as a Product vs. Data as a ServiceThe difference between providing “data” and providing “insights” (actually though)·6 min read·Jul 14, 2019--4--4
Justin GageApache Airflow on Docker for Complete BeginnersIntroduction·12 min read·Feb 10, 2019--4--4
Justin GageHow Data Scientists Can Work Better With EngineersLearning the right skills, owning investigative work, and collaborating on abstractions can go a long way7 min read·Feb 3, 2019--1--1
Justin GageinHeartbeatMachine Learning models on the edge: mobile and IoTEdge devices are becoming increasingly important—and here’s how machine learning works with them7 min read·Jun 20, 2018----
Justin GageinTowards Data ScienceThe missing part of the Machine Learning revolutionDespite the widespread adoption of AI, scaling and deploying AI-based products is as hard as ever; but some new technology is looking to…6 min read·Nov 15, 2017--2--2
Justin GageinZodiac MetricsThe era of the customer-centric businessBusinesses have typically been built around understanding forces, groups, and trends. New technology is changing that paradigm by giving…6 min read·Nov 7, 2017----
Justin GageinDatalogueThe abstracted future of data engineeringThe way we view data and data sources has more or less stayed the same over time, but new technologies suggest a step innovation is…8 min read·Oct 24, 2017----
Justin GageMachine Learning Abstraction And The Age of AI EaseNew tools are making it easier than ever to get working AI up and running10 min read·Sep 13, 2017--7--7
Justin GageinStartups & Venture CapitalMaking Sense of The Different Types of AI CompaniesA framework for understanding how companies use AI5 min read·Sep 6, 2017--2--2
Justin GageHow different stages of investors align with foundersEarlier investors may naturally more in-sync with their founders than their later stage counterparts6 min read·Feb 7, 2017----