Podcast – Benchmarking AI with MLPerf
How do you measure and improve the performance and efficiency of an AI workload? It can be achieved by creating a repeatable process and allowing other people to reproduce the…
Podcast – DataOps and Data Pipelines
Gartner defines DataOps as a collaborative data management practice focused on improving the communication, integration, and automation of data flows between data managers and data consumers across an organization. DataOps…
Podcast – Challenges of ML Training Data
The modern AI models are larger and more complex than ever. Enterprises are looking at implementing flexible and agile architectures to accommodate those requirements. It means hybrid and multi-cloud architectures…
Podcast – Challenges of ML developers
Building AI pipelines that go from training all the way to inference is complex. The process of building models must be consistent and repeatable. Furthermore, understanding what data was used…
Podcast – The impact of bias on ML marketing
Bias in AI models today is a genuine concern as it can have a devasting and oppressive impact on various customer groups. The problem resides hidden in the data used…