by CDO Review Staff | Feb 12, 2019 | Tools
A survey of more than 20,000 Python users indicates that overall Python use is still growing among developers and that data analysis (including machine learning) is now the main use case. Python is also preferred for use in web development, testing, and automation....
by CDO Review Staff | Feb 12, 2019 | Tools
So what if there is a talent gap? Companies that are early adopters of automated data science tools can evade the shortage of developer talent plaguing their competition. New tools have been developed that simplify data prep, deploy pre-trained AI models, and automate...
by CDO Review Staff | Feb 12, 2019 | Tools
There are millions of data scientists and developers but experts believe that there are only a few thousand machine learning engineers capable of morphing deep learning from concept to production stage. The Kubeflow project may be the answer to this problem. Mark...
by CDO Review Staff | Feb 12, 2019 | Tools
When it comes to data science and machine learning platform providers, the market leaders might not be the best fit for your company, according to the 2019 Gartner Magic Quadrant for Data Science and Machine Learning Platforms. Timothy King explains why data science...
by CDO Review Staff | Feb 12, 2019 | Tools
The National Science Foundation has awarded a three-year $499,753 grant to Elke Rudensteiner of the Worcester Polytechnic Institute (WPI) to develop the next-generation event trend analysis tool called Scalable Event Trend Analytics (SETA) that will allow users to...
by CDO Review Staff | Feb 12, 2019 | Tools
Lentiq’s new EdgeLake architecture brings flexibility, analytical muscle, and opportunities for collaboration across organizations that have been limited by overly centralized data repositories. Alex Woodie reports on EdgeLake in this story from Datanami: Lentiq has a...
