AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020 - Dec 11, 2019.
We asked leading experts - what are the most important developments of 2019 and 2020 key trends in AI, Analytics, Machine Learning, Data Science, and Deep Learning? This blog focuses mainly on technology and deployment.
2020 Predictions, AI, Analytics, Bill Schmarzo, Carla Gentry, Data Science, Doug Laney, Jen Underwood, Kate Strachnyi, Machine Learning, Meta Brown, Ronald van Loon, Tom Davenport, Trends
AI, Data Science, Analytics Main Developments in 2018 and Key Trends for 2019 - Dec 3, 2018.
Review of 2018 and Predictions for 2019 from our panel of experts, including Meta Brown, Tom Davenport, Carla Gentry, Bob E Hayes, Cassie Kozyrkov, Doug Laney, Bill Schmarzo, Kate Strachnyi, Ronald van Loon, Favio Vazquez, and Jen Underwood.
2019 Predictions, AI, Automated Machine Learning, Automation, Bill Schmarzo, Carla Gentry, Cassie Kozyrkov, Doug Laney, GDPR, Hype, Jen Underwood, Meta Brown, Predictions, Risks, Ronald van Loon, Tom Davenport, Trends
Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018 - Dec 12, 2017.
The leading experts in the field on the main Data Science, Machine Learning, Predictive Analytics developments in 2017 and key trends in 2018.
2018 Predictions, Carla Gentry, Data Science, Eric Siegel, Jeff Ullman, Jen Underwood, Jill Dyche, Kirk D. Borne, Machine Learning, Predictions, Rexer Analytics, Tom Davenport, Trends
- Introducing R-Brain: A New Data Science Platform - Oct 11, 2017.
R-Brain is a next generation platform for data science built on top of Jupyterlab with Docker, which supports not only R, but also Python, SQL, has integrated intellisense, debugging, packaging, and publishing capabilities.
Data Science Platform, Docker, Jen Underwood, Jupyter, R, R-Brain
