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
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
Recent data trends to understand, how to manage digital transformation, and upcoming analytics trends to watch for.
- By Upside Staff
- November 19, 2019
Machine learning has applications across departments and industries. Read examples in these three articles.
- By Upside Staff
- November 5, 2019
How is the data landscape driving changes in how data engineers and IT teams manage the data and how analysts seek to derive value from it? We asked Sean Knapp, founder and CEO of Ascend.io, for his thoughts about what's ahead.
- By James E. Powell
- November 5, 2019
Why machine learning can’t detect fake news, why synthetic data can help you follow regulations, and how machine learning helps detect hackers.
- By Upside Staff
- October 22, 2019
Improving AI with neuroscience, using the public cloud for AI, and putting ML models into production.
- By Upside Staff
- October 8, 2019