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 is DataOps so important for your enterprise data management tasks? We asked Chris Cook, CEO of Delphix and a veteran technology executive with more than 30 years of experience in the enterprise software industry, for his perspective.
- By James E. Powell
- November 1, 2019
These visualizations explore horror movies, autumn leaves, and Halloween spending trends.
- By Upside Staff
- October 30, 2019
These articles highlight ways individuals and organizations can handle the need for more data science professionals.
- By Upside Staff
- October 29, 2019
Whether in business projects or public endeavors, the belief that technology is always the answer leads to poor design and failure to meet the needs of real people.
- By Barry Devlin
- October 28, 2019
How enterprises are using real-time analytics, how distributors can use advanced predictions, and how brands can use data science.
- By Upside Staff
- October 24, 2019
Three examples of visualizations based on text analysis: use fast embeddings, learn to picture lexical distance, and find the common threads in employment opportunities at Google.
- By Upside Staff
- October 23, 2019