Upside


Data Digest: Machine Learning Pitfalls, Applications for AI and ML, Testing Results

Dangers when starting machine learning, applications for AI, and why some practitioners say they need a better way to evaluate AI results.

  • By Upside Staff
  • May 8, 2018

How Next-Generation Hardware Security Modules Can Help You Prepare for GDPR

HSMs hold promise for helping enterprises comply with GDPR.

  • By Ambuj Kumar
  • May 8, 2018

Three Practical Uses for Graph Databases in MDM

Graph databases are not ready to replace relational database MDM platforms, but the use cases are growing in number. Here are three practical examples of when to supplement your MDM practice with a graph database.

Data Quality Evolution with Big Data and Machine Learning

When big data is combined with machine learning, enterprises must be alert to new data quality issues.

  • By Brian J. Dooley
  • May 4, 2018

Data Digest: Predictive Analytics in Healthcare, Insurance, and Retail

These articles explain how predictive analytics is affecting more industries.

  • By Upside Staff
  • May 3, 2018

Data Stories: Using Maps to View History

As a visualization, a map can show more than what turn to take next. In these examples, you can see a city’s past, where slavery spread, and indigenous territories.

  • By Upside Staff
  • May 2, 2018

Data Digest: Challenges, Benefits, and Security for IoT

What issues are still unresolved for the Internet of Things, how IoT helps remote workers, and how to approach IoT security.

  • By Upside Staff
  • May 1, 2018

MIT Adds Professional Education Programs in Machine Learning, AI

Academic programs are one way for professionals to stay current with today's most in-demand skills.

  • By Brian J. Dooley
  • May 1, 2018

Anchored but Agile: The New Vision for Data Management

After experiencing the problems of data chaos, many organizations want to learn how they can balance self-service and big data with centralized data and information management.