Best practices for getting more insight from existing data, making sure you have the right human context for your data, and using patterns to identify hackers.
- By Quint Turner
- December 20, 2016
Help your enterprise respond to data breaches and defend against ransomware -- and help your nontechnical staff communicate with machine learning experts.
- By Quint Turner
- December 19, 2016
Current attempts to weed out fake news focus on analytics and algorithmic approaches. They miss more intractable social and psychological issues that must be addressed.
- By Barry Devlin
- December 19, 2016
Learn why your enterprise might already be ready for IoT data, how the IoT security problem grew, and how to drive transformation with IoT.
- By Quint Turner
- December 16, 2016
The leading 2016 trends included Hadoop adoption, data lakes, and data warehouse modernization. In 2017 we'll see new activity around the SQL-ization of Hadoop, orchestrated data hubs, and managing IoT sensor data.
- By Philip Russom
- December 16, 2016
Bimodal IT cannot deliver on its aims because it misses the organizational and personal aspects of an integrated, high-speed, digital business.
- By Barry Devlin
- December 16, 2016
From disruptions to new technologies, 2017 is shaping up to be an important year for data and the people who use or manage it.
- By Stan Christiaens
- December 16, 2016
Organizations need to seek the right balance of freedom and oversight that enable users to get their work done self-service style. Here are four trends that will help organizations achieve that goal in 2017.
- By David Stodder
- December 16, 2016