Software Engineering Radio - The Podcast for Professional Software Developers · SE-Radio Team

Jacob Visovatti and Conner Goodrum on Testing ML Models for Enterprise Products

·1 hr 1 min·5 clips
Jacob reveals how AI models now handle unstructured data in real-time, exposing critical quality concerns for enterprises.
Conor Goodrum and Jacob Biswati from DeepGram discuss the challenges of testing machine learning models for enterprise products, covering differences from traditional software testing, the impact of LLMs, and strategies like synthetic data and observability. They emphasize interdisciplinary approaches and practical insights for ensuring quality in AI-first applications.

As heard by us

A practical look at why ML evaluation gets harder once voice models have to serve enterprise products.

Testing ML models for enterprise use cases is framed as a measurement problem rather than a slogan. Conor Goodrum and Jacob Biswati focus on the gap between standard metrics and real product behavior, especially in voice technology, where a model can look strong on paper and…

Read the full review in PlayNext →

Why you'd press play

If you ship ML into an enterprise product, this episode shows where headline metrics stop telling the whole story.

Read the full recommendation in PlayNext →
Listen to the show on