Our panel discussion will focus on the main challenges of building and deploying ML applications. We’ll discuss common pitfalls, development best practices, and the latest trends in tooling to effectively operationalize ML
ML Design Patterns for Data Engineers
As machine learning moves from being a research discipline to a software one, it is useful to catalog tried-and-proven methods to help engineers tackle frequently occurring problems that crop up during the ML process. In this talk, I will cover three …
Building a Best-in-Class Customer Experience Platform – The Hux Journey – Deloitte Digital
New technologies have been advancing rapidly across the areas of frictionless data ingestion, customer data management, identity resolution, feature stores, MLOps and customer interaction orchestration. Over the same period many large enterprises …
