Advice about hiring data scientists, why the government is training employees in data science, and research about data science obstacles.
- By Upside Staff
- December 10, 2019
To overcome many issues related to data lakes, enterprises are turning to a more progressive data integration approach: data virtualization.
- By Ravi Shankar
- December 10, 2019
We break down the basics and benefits of embedded databases.
- By William McKnight
- December 9, 2019
From in-memory computing to stream processing, machine learning, and AI -- the world of analytics is changing quickly. We spoke to Kelly Herrell, CEO of Hazelcast, to find out how these technologies will help enterprises make decisions more quickly.
- By James E. Powell
- December 6, 2019
Recent research has tried to create less biased algorithms, falsely represented ML accuracy, and shown how AI can be corrupted with bad data.
- By Upside Staff
- December 5, 2019
Using iteration to create a basic visualization, elegant characteristics for your data visuals, and a case study for revising a complex visualization.
- By Upside Staff
- December 4, 2019
Michelle Jacobs, president of Alight Analytics, shares her recommendations for how marketers can get the most from their analytics initiatives.
- By James E. Powell
- December 3, 2019
These articles project what tech skills, customer experience technologies, and data storage technologies will be most important in 2020.
- By Upside Staff
- December 3, 2019