Mind the Data Gap

The Mind the Data Gap podcast focuses on modern data practices and their impact on software dev and testing and applications in data science.
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Data Generation and Provisioning for Enabling Digital Innovation

Data Generation and Provisioning for Enabling Digital Innovation

Today we're discussing the new generation of analytics, building a Center of Excellence, and the role that synthetic data plays in development and approval processes.
Data-Driven Testing & API Testing Value with Synthetic Data
Data-Driven Testing & API Testing Value with Synthetic Data
Tune in today to listen about the provisioning of test data for testing of APIs, bringing the DevOps mindset into QA and test operations, and the growing importance of synthetic data.
Synthetic Data in Machine Learning: What, Why, How?
Synthetic Data in Machine Learning: What, Why, How?
In this episode, Nicolai Baldin and Simon Swan are welcoming the founder of Data Science Central and MLTechniques.com Vincent Granville.
Avoid Testing in Production with Synthesized and Speedscale
Avoid Testing in Production with Synthesized and Speedscale
Nicolai, Denis and Marc are joined by co-founders of Speedscale, Ken Ahrens and Matt LeRay.
Addressing Enterprise Testing Needs in 2022 with Testcontainers & Test Data
Addressing Enterprise Testing Needs in 2022 with Testcontainers & Test Data
Nicolai Baldin & Denis Borovikov are joined by Sergei Egorov, the CEO of AtomicJar.
Mitigating AI Bias and Business Risks: From Theory to Practical Steps
Mitigating AI Bias and Business Risks: From Theory to Practical Steps
Dr. Ansgar Koene, global AI and ethics regulatory leader at EY, joins us to discuss AI and business risks, and how to define, measure and mitigate such AI related risks.
AI and Data in Scotland: A Conversation with Gillian Docherty
AI and Data in Scotland: A Conversation with Gillian Docherty
Join Nicolai and Gillian as they address the difference between data bias and AI bias and explore examples of responsible AI, how to mitigate AI concerns and what can be done to build society’s trust in AI.

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