Upside


Executive Q&A: Transforming Data Management at a Healthcare Organization

The need for more effective data analytics across the healthcare industry is rising. Upside spoke with Jenny Hyun at physician-owned healthcare delivery organization Vituity about their use of master data to manage recent growth.

Data Digest: Machine Learning Innovations, MLOps, ML Basics

Helping machine learning be more accurate, the purpose of MLOps, and examples of ML applications.

Executive Q&A: Research into the State of Digital Architects, Post-Pandemic

For many years, architects have struggled to satisfy their organizations’' needs for digital change. We spoke with Chin-Heng Hong, VP product management at Couchbase, about the new challenges architects face almost 20 months into the pandemic.

Data Digest: AI and ML in Healthcare

Trends in healthcare technology, using AI to predict COVID-19 symptoms, and using machine learning to study antibiotic resistance.

Executive Q&A: The Future of Geospatial Data

How can collecting and using location data help your enterprise? Quadrant CEO Mike Davie tells us about today's use cases and how to prepare for tomorrow.

Data Stories: Fast, Faster, Fastest

These data visualizations show vehicle speeds from bikes to race cars to trains.

Data Digest: Advice for Cloud Migration and Data Science in the Cloud

Migrating data to the cloud, preparing to use the cloud for data science, and cloud IT modernization strategies.

4 Reasons Data Analytics Projects Fail

We explain the four most common reasons data analytics projects aren't successful and how to avoid these mistakes.

Why the DIKW Pyramid Is Essential for Your Data Team

The heart of your data strategy should be a hierarchical model you've probably never heard of. Here's why it's so important and how you can apply it in your own organization.