CHANGELOG: Beta2

Gretel, a privacy engineering company founded by engineers, aims to enable developers, researchers, and scientists to quickly create safe versions of data for various purposes such as machine learning workloads, pre-production environments, and data sharing across teams and organizations. The company launched a free public beta six months ago and learned that 50% of its users are software and data engineers, while 40% are data scientists and machine learning researchers. The majority of the users work in technology focused industries, followed by healthcare and finance, education, retail, and government. Gretel's current beta focuses on using a set of SDKs and Python notebooks to execute workloads, but it plans to release an updated version called Beta2 with end-to-end functionality for privacy engineering as a service, making it accessible to non-developers. The company will also focus on being purely API driven, providing REST APIs hosted in Gretel Cloud and supporting various languages and frameworks. Additionally, Gretel plans to double down on open source by bundling all its open source functionality together into an Open Source Python SDK called Gretel Core.