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
AI's use in medical applications is well known. We learn from Meni Morim, CEO of Namaste Technologies, how AI can benefit cannabis users.
- By James E. Powell
- October 22, 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
Are your meetings fruitless? Thinking about a picture postcard from a friend's vacation can be the model you need to move your enterprise to a more data-driven culture.
- By Mikael Berndtsson
- October 21, 2019
NLP is a necessary enterprise discipline today. Understanding the challenges and possibilities will help you harness this discipline for your language applications.
- By William McKnight
- October 18, 2019