Before it can be used to train ML models, your data must be clean and consistent. These steps can help get your data in the proper shape.
- By David Langton
- May 27, 2020
Enterprises are modernizing their IT infrastructure as never before. Data virtualization should be a key part of their digital transformations.
- By Ravi Shankar
- May 26, 2020
AI myths to watch out for, a new metric for measuring the efficiency of ML, and how NLP can be used to screen the news.
- By Upside Staff
- May 26, 2020
The outcome and effectiveness of any analytics application will be influenced by the volume, breadth, sources, models, quality, and semantics of the data provisioned for it.
- By Philip Russom
- May 22, 2020
Learn about realistic applications for AI, preparation strategy for AI and machine learning, and safe practices for IoT data.
- By Upside Staff
- May 21, 2020
Fighting the COVID-19 pandemic is going to take data -- lots of it -- and that data will need to be shared easily and seamlessly. Here are the top six steps that we will need to take.
- By Birju Shah, Nick Jordan
- May 19, 2020
Applying healthcare data in a pandemic, searching for drugs with quantum machine learning, and protecting personal data during contact tracing.
- By Upside Staff
- May 19, 2020
Enterprises face conflicting and complex privacy and governance regulations that don’t make it easy to comply. These tips can help you get a handle on compliance.
- By David Yaffe
- May 18, 2020
More real-time data, more demands on that data, and a world where cloud computing and data is now mainstream. How do these trends affect what's ahead for databases and database management? Yugabyte's CTO, Karthik Ranganathan, shares his ideas.
- By James E. Powell
- May 15, 2020