PinnedData as a Product vs. Data as a ServiceThe difference between providing “data” and providing “insights” (actually though)Jul 14, 2019A response icon4Jul 14, 2019A response icon4
Apache Airflow on Docker for Complete BeginnersIntroductionFeb 10, 2019A response icon4Feb 10, 2019A response icon4
How Data Scientists Can Work Better With EngineersLearning the right skills, owning investigative work, and collaborating on abstractions can go a long wayFeb 3, 2019A response icon1Feb 3, 2019A response icon1
Published inHeartbeatMachine Learning models on the edge: mobile and IoTEdge devices are becoming increasingly important—and here’s how machine learning works with themJun 20, 2018Jun 20, 2018
Published inTDS ArchiveThe 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…Nov 15, 2017A response icon2Nov 15, 2017A response icon2
Published inZodiac 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…Nov 7, 2017Nov 7, 2017
Published inDatalogueThe 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…Oct 24, 2017Oct 24, 2017
Machine Learning Abstraction And The Age of AI EaseNew tools are making it easier than ever to get working AI up and runningSep 13, 2017A response icon7Sep 13, 2017A response icon7
Published inStartups & Venture CapitalMaking Sense of The Different Types of AI CompaniesA framework for understanding how companies use AISep 6, 2017A response icon3Sep 6, 2017A response icon3
How different stages of investors align with foundersEarlier investors may naturally more in-sync with their founders than their later stage counterpartsFeb 7, 2017Feb 7, 2017