Today learn about the blunders many enterprises make with big data, improving your customer data with more integration, and choosing the right amount of data to store.
- By Quint Turner
- September 22, 2016
Collecting customer data has provided benefits to both consumers and businesses, but there are costs to using personal data. What are the trade-offs between personal data privacy and customer analytics?
- By Matt Lindsay, Ph.D.
- September 20, 2016
Find out why the next cyberattack might include data manipulation, best practices to make your data lake successful, and the differences between BI, data analytics, and data science
- By Quint Turner
- September 19, 2016
Read about finding useful data sources, how understanding cybercriminals can help you protect your system, and how to secure and manage IoT devices on your enterprise network.
- By Quint Turner
- September 16, 2016
How a strong governance program can help your enterprise, how to detect and prevent sophisticated malware attacks, and how to understand and work with the limitations of big data.
- By Quint Turner
- September 13, 2016
There are countless statistics that indicate how badly organizations are losing the battle to protect data on their networks. AI-based behavioral analysis provides immediate protection against today's advanced attacks.
- By Dave Rosenberg
- September 13, 2016
In many cases, it's still possible to extract personal info from anonymized data. Thanks to changing regulations, differential privacy and other new techniques for obscuring sensitive data are going to start getting a lot more attention.
- By Steve Swoyer
- September 12, 2016
The best place for managing the security of traditional enterprise applications is where the best resources are: at the cloud service provider.
- By Joshua Greenbaum
- September 7, 2016