O'Reilly Media - Data

JULY 18, 2018

It’s no secret that companies place a lot of value on data and the data pipelines that produce key features. In the early phases of adopting machine learning (ML), companies focus on making sure they have sufficient amount of labeled (training) data for the applications they want to tackle.

Machine Learning 137

Machine Learning Artificial Inteligence Data Marketing 137

TIBCO - Connected Intelligence

JULY 29, 2019

According to the Gartner Data Science Team survey, conducted at the end of 2017, even within organizations benefiting from the expertise of mature data science teams, less than half of data science projects end up being fully deployed. Optimize People, Processes, and Technology: Data science is a team sport.

Innovation 26

Innovation Artificial Inteligence Machine Learning Guidelines 26

TechCrunch

MAY 7, 2021

Organizations that have not started on their analytics journey or are spending scarce data engineer resources to resolve issues with analytics implementations are not identifying actionable data insights. The company that appeared to come out of nowhere in 2017 eventually had a final private valuation of $35 billion.

Fintech 246

Fintech Windows Healthcare Analytics 246