Which IT strategies can backfire on IoT, pitfalls to avoid in a transition to cloud computing, and what lessons to take away from the year in data security.
- By Quint Turner
- January 6, 2017
Data platforms must play their real, architected roles in your environment. Platform consolidation can save you money and headaches.
- By William McKnight
- January 6, 2017
Think of "hybrid integration" as a new paradigm for data and application integration. It's tailor-made for enterprises in which IT resources live both on premises and in the cloud.
Google forges ahead with powerful techniques and discoveries in artificial intelligence. Where are examples of their application to BI to be seen?
- By Barry Devlin
- January 4, 2017
Chatbots are all the rage because of their easy-to-use interface for end users. Several tech giants have opened platforms that allow companies across all industries to take advantage of this technology as a front end for their business intelligence systems.
- By Troy Hiltbrand
- January 3, 2017
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
Microsoft argues that in-memory processing can accelerate OLTP and OLAP workloads. This is true on premises. It's also true -- with a few caveats -- in the cloud.
The Apache Spark cluster computing framework is widely used in the enterprise, and most adopters expect to increase their use of Spark over the next year, according to a recent survey of big data professionals.