Cloud computing has overcome some tough resistance over the years, but it has gained acceptance and proven it's value. Now IT pros have to make sure that cloud technology is applied the right way, delivering the solutions that business managers need. Read More
Advancing through the digital era with a greater use of self-service analytics doesn't mean that you have to trash proven analytics tools and techniques. Read More
Data quality, data privacy, and advanced technologies such as AI, machine learning, neural networks, and more, are of top concern to data analytics pros and IT managers, says Karen Lopez, Data & Analytics Track Chair for Interop ITX 2018. Read More
As we enter a new year of technology planning, find out about the hot technologies organizations are using to advance their businesses and where the experts say IT is heading. Read More
I went digging in the weeds of the current cloud pricing battlefield to understand what is going on so you don't have to. Here's what I learned matters a lot, a little, and just enough. Read More
Enterprise software development teams have historically had trouble ensuring the code that runs well on a developer's machine also runs well in production. DevOps has promoted more collaboration between developers and IT operations. Data scientists and data science teams face similar challenges, which DevOps concepts can help address. Read More
