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Resources

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Videos

Videos

Discover how MOSTLY AI is reimagining the way businesses work with data through cutting-edge technology and responsible innovation.

Integrating Databricks and MOSTLY AI's synthetic data generator

In this video, we'll explain how to pull data from Databricks for synthetic data generation and how to push the generated synthetic data back to Databricks.

Tips and Tricks for Synthetic Data Generation - Replacing Real Data with Synthetic in a Data Catalog

In this video, we'll be discussing tips and tricks for synthetic data generation, namely replacing real data with synthetic in a data catalog. Using synthetic data in a data catalog is an elegant way of showing privacy safe sample data in a data catalog, like Alation. If you're looking to anonymize your data catalog, then […]

TUTORIAL: How to do data analyses with ChatGPT's Code Interpreter?

ChatGPT's Code Interpreter offers an easy way to start analyzing data. No Python knowledge required, simply ask questions about the data and ChatGPT will analyse the dataset for you. In this video, Tobi Hann, MOSTLY AI's CEO demos how powerful this feature is using the synthetic version of the Income dataset from the American Community […]

Tips and Tricks for Synthetic Data Generation - How to Empty the Target Schema

In this video, we'll show you how to make sure that your target schema is empty before you start generating synthetic data with schemas. #syntheticdata, #syntheticdatageneration, #tipsandtricksforsyntheticdata, #emptyschema #psql

Tips and Tricks for Synthetic Data Generation: Missing dates

How to prep your data with missing dates for synthetic data generation? Tune in to find out how a few simple SQL tricks can help! Once your dataset is ready, simply go to mostly.ai, register your free forvever account and upload your data.

Tips and Tricks for Synthetic Data Generation - Names

MOSTLY AI's synthetic data generator can synthesize names in a number of ways. Depending on the use case, you can choose from different encoding types, such as Categorical, Mock data or Text. Each encoding type has its advantages and disadvantages. Check out the video to learn which encoding type you should choose for generating names […]

AI Act: A Deep Dive into the Future of AI regulation - Part 2

The second part of our series on the European Union's upcoming AI Act discusses the definition of artificial intelligence as proposed by the European Commission's draft. In order to understand what pieces of software the AI Act applies to, it's important to nail the the definition of what an AI system is and what are […]

AI Act: A Deep Dive into the Future of AI regulation - Part 1

In this video, MOSTLY AI's Legal Counsel, Alexander Zojer is taking us into the future of AI regulation. We're going to discuss the EU's AI Act, how it's made, and how it will shape the way we think about and use AI in the future. If you're interested in the future of AI regulation, then […]

How to innovate in health insurance with Daniela Pak-Graf (Merkur Innovation Lab) - DDP E41

In this episode of the Data Democratization Podcast, host Alexandra Ebert interviews Daniela Pak-Graf, the managing director of Merkur Innovation Lab — the innovation arm of Merkur Insurance. Daniela shares her tips and best practices for innovating with data in one of the most conservative and sensitive industries, health insurance.Tune in to find out how […]

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