Why ML skills are key to data science, how ML is changing urban development, and recommendations for learning more about ML.
- By Upside Staff
- December 12, 2019
The coming year is the perfect time to refocus your data science and data analytics efforts to increase revenues and drive core efficiencies.
- By Michael Willock
- December 12, 2019
Online data visualizations are a good way to communicate changing data in close to real time. These three very different examples are meant for security-conscious enterprises, travelers, and curious members of the public respectively.
- By Upside Staff
- December 11, 2019
The upcoming decade will see revolutionary changes to business across industries. Much of that change will be driven through analytics; 2020 will be a launching point and will have a heavy focus on augmented analytics.
- By Troy Hiltbrand
- December 11, 2019
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