FeatureByte, an AI startup formed by a team of data science experts, announced the release of its open-source FeatureByte SDK. The SDK allows data scientists to use Python to create state-of-the-art features and deploy feature pipelines in minutes – all with just a few lines of code. FeatureByte automatically generates complex, time-aware SQL to perform feature transformations at scale in cloud data platforms such as Databricks and Snowflake.
Molecula Secures $17.6 Million in Series A Funding to Democratize Machine-Scale Analytics and AI
Molecula, an enterprise feature store built for machine-scale analytics and AI, announced it closed a $17.6 million Series A round of funding, bringing its total funding to $23.6 million. The round is led by Drive Capital, with participation from TTV Capital and existing investors including Tensility.
AI Under the Hood: Kaskada, Inc.
In this installment of “AI Under the Hood” I introduce Kasakda, Inc., a Seattle-based early stage company founded in January 2018. Kaskada is a machine learning platform for feature engineering using event-based data. Kaskada’s platform allows data scientists to unify the feature engineering process across their organizations with a single platform for feature creation and feature serving. If you’re a data scientist Kaskada solutions are definitely worth a close look.