Cloud Trends: Look Behind the Numbers
For all the market research numbers floating around about cloud computing, what is missing is advice on what IT organizations should be doing with IaaS, SaaS, and other cloud concepts.
IoT: Living on the Edge
Where is your data when you need it? Edge computing offers an alternative to processing all data in the cloud or the data center.
Data Governance in the Age of Exponential Technology
The emerging data-hungry and data-generating technologies demand two types of data governance: security, and the need for holistic, enterprise-wide governance, rather than governance on a silo-by-silo basis.
Debunking Three Common Cloud Misconceptions
Combatting the misconceptions surrounding cloud computing requires continuous exploration of new opportunities emerging today because of ongoing cloud technology innovations.
5 Machine Learning Resolutions for 2019
More organizations are using machine learning for competitive reasons, but their results are mixed. It turns out there are better -- and worse -- ways of approaching it. If you want to improve the outcome of your efforts in 2019, consider these points.
On Sale: AI Lessons from the Retail Industry
All industries can learn from the retail sector's work with artificial intelligence, and explore how AI can define product and service offerings while also improving the customer experience.