Making the hurdle from designing a machine learning model to putting it into production is the key to getting value back, and the roadblock that stops many a promising machine learning project. After the data scientists have done their part, engineering robust production data pipelines has its own set of tough problems to solve. Syncsort software helps the data engineer every step of the way.
|Mon Oct 22 @16:30 - 04:45PM|
Webinar: Engineering Machine Learning Data Pipelines Series: Big Data Quality - Cleansing Data at Scale
|Mon Oct 29 @16:30 - 04:45PM|
Webinar: Engineering Machine Learning Data Pipelines Series: Finding and Matching Duplicates to Resolve Entities
|Mon Nov 05 @16:30 - 04:45PM|
Webinar: Engineering Machine Learning Data Pipelines Series: Tracking Data Lineage from the Source
|Wed Nov 07 @08:00 - 05:00PM|
ITWeb GDPR Update
This week I am publishing the presentation that was delivered as the Customer Analytics conference last month In this presentation I talked about the challenges of delivering customer experience – including having to source new , unstructured data sets Data[…]Read more...