New malware risks thousands of IoT cameras, an argument for open source data management, and distinguishing between machine learning, deep learning, and AI.
- By Lindsay Stares
- May 18, 2017
What jobs are being replaced by automation, how much e-sports professionals can make, and how IT jobs are portrayed in TV and film.
- By Lindsay Stares
- May 17, 2017
The ethical questions around profiling customers with big data, new business models enabled by cloud computing, and an infographic on data science career trends.
- By Lindsay Stares
- May 16, 2017
Simplifying tasks is a key benefit of automation, and in the world of predictive analytics, these three areas are getting the most automated help.
- By Fern Halper
- May 15, 2017
Data ingestion is a process that needs to benefit from emerging analytics and AI techniques.
- By Brian J. Dooley
- May 12, 2017
The world of business is rapidly changing. To adapt to new business models, we must master the digital business moment -- a transient opportunity that can be exploited dynamically.
- By Troy Hiltbrand
- May 11, 2017
Although some would say heatmaps are inherently flawed, this visualization style can be effective if used correctly.
- By Lindsay Stares
- May 10, 2017
Inspirational quotes for aspiring data scientists, how neural networks power extraterrestrial exploration, and why cybersecurity is now important in major sports.
- By Lindsay Stares
- May 9, 2017