Career advice for aspiring data scientists, how graph databases can improve customer analytics, and how data quality affects your CRM.
- By Lindsay Stares
- July 11, 2017
Bragging rights in IT have long been about performance benchmarks, but today the competition is shifting to who can provide technology solutions that produce better business outcomes.
- By David Stodder
- July 11, 2017
The hunger for profit is driving the convergence of the digital and physical worlds, which raises some deeply disturbing privacy implications.
- By Barry Devlin
- July 10, 2017
Bias is everywhere -- even in analytics. The best way to control for bias is to incorporate a diversity of experiences and perspectives in the teams we use to design and maintain predictive, machine learning, and AI systems.
The sooner your predictive analytics can predict an action, the more effective your marketing efforts can be.
How inflated requirements affect the data scientist market, the basics of object storage, and how to design more resilient data hierarchies.
- By Lindsay Stares
- July 6, 2017
Predictive analytics, machine learning, automated decision rules, AI, and other security analytics technologies have transformed how we handle malicious hacking activity. Are they adequate?
These charts reveal trends in teenage employment, changes in income by generation, and how millennials shop.
- By Lindsay Stares
- July 5, 2017