In 2020, enterprises may realize the cloud may not be everything they’d hoped for after all, migrations to NoSQL will cease, and ML will be operationalized.
- By Monte Zweben
- December 13, 2019
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 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
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
The popularity of AI and ML have wide-reaching effects on your enterprise. Here are three important trends driven by AI to look out for next year.
- By Ryohei Fujimaki
- December 2, 2019
The purpose of documenting data science and tips for judging the value of machine learning.
- By Upside Staff
- November 26, 2019
MinIO CEO and cofounder Anand Babu Periasamy explains why thinking about (and managing) data is so critical to enterprise success, the role of AI/ML, the disruptive nature of Kubernetes, and where analytics and data management are headed in 2020 and beyond.
- By James E. Powell
- November 26, 2019