Fireside Chat: Stig Pedersen from Topdanmark

"In having one or two very successful algorithmic deployments, the business then begins coming to you to ask for assistance. It becomes a mutual interchange, everybody...

Defining clear metrics to drive model adoption and value creation

One of the biggest ironies of enterprise data science is that although data science teams are masters at using probabilistic models and diagnostic analytics to forecast...

Enterprise-class NLP with spaCy v3

spaCy is a python library that provides capabilities to conduct advanced natural language processing analysis and build models that can underpin document analysis, chatbot capabilities, and...

Simplify data access and publish model results in Snowflake using Domino Data Lab

Introduction Arming data science teams with the access and capabilities needed to establish a two-way flow of information is one critical challenge many organizations face when...

Faster data exploration in Jupyter through Lux

Notebooks have become one of the key primary tools for many data scientists. They offer a clear way to collaborate with others throughout the process of...

Providing fine-grained, trusted access to enterprise datasets with Okera and Domino

Domino and Okera - Provide data scientists access to trusted datasets within reproducible and instantly provisioned computational environments. In the last few years, we’ve seen the...

Why models fail to deliver value and what you can do about it.

Building models requires a lot of time and effort. Data scientists can spend weeks just trying to find, capture and transform data into decent features for...