TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

Is the Data Warehouse Dead? & The Globe and Mail A Data Modernization Journey

• September 18, 2018

Data Digest: Advice for Data Scientists

Real challenges that data scientists face, steps to develop a great data science project, and how to tell if you need data science.

• By Upside Staff
• September 18, 2018

Data Democracy Now: Advantages, Issues, and Implementation

Bringing analytics closer to decision makers has long been a goal of both IT and business leaders. Data democracy is one important step toward maintaining competitiveness and promoting growth.

• By Brian J. Dooley
• September 18, 2018

Data Cataloging Comes of Age

Organizations can take advantage of the latest data cataloging technology to bring users closer to a complete view of information.

• By David Stodder
• September 17, 2018

Data Requirements for Machine Learning

Machine learning can enable new forms of predictive analytics and embed algorithm-driven intelligence into many software applications. However, none of that is possible without the right data, captured and processed the right way.

• By Philip Russom
• September 14, 2018

Data Digest: Machine Learning Languages, Multitenant Data Sets, Earthquake Detection

Why you should consider JavaScript for machine learning, training ML models on multitenant data, and how machine learning models are detecting aftershocks.

• By Upside Staff
• September 13, 2018

FICO Makes Artificial Intelligence Explainable with Latest Release of Its Analytics Workbench

Cloud-based analytics workbench with AI toolkit enables data scientists to build transparent and predictive machine learning models.

• September 12, 2018

The Cloud Can Be a Massive Data Source for Analytics

Don't overlook cloud-resident open data sources for populating your data warehouses.

• By Mike Schiff
• September 12, 2018