InformationWeek:

Career advice for computer scientists and IT professionals: Talk to, listen to, and work with your peers in a multi-disciplinary environment.

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.

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.

Data center automation is inevitable. Here's how to do it right from the beginning.

Data science techniques are getting better, cheaper, and easier to use. Even small and medium sized organizations can now tap these technologies. But, if you fail to properly introduce, support, and integrate data science capabilities, a lot of money can be wasted.

Whether you are a CIO, IT manager, or an IT pro, today's dynamic workplace presents new issues and challenges. Here are some of the highlights of the upcoming Interop ITX Leadership and Professional Development Track, to help you succeed.

Having a simple, understandable user interface on an application aids user acceptance, and even considerations such as interoperability and security.

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.

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.

Senior executives who have been making hollow promises about embracing data-driven strategies need to be convinced that now is the time for real action. Here are some ways that data professionals can gain the support they need.

The Accenture Vision 2018 report has identified five trends for CIOs and other executives for the year ahead, including citizen AI, extended reality, and data veracity.

Even with the ongoing new developments in core technologies, IT organizations are facing dramatic changes in how they work in 2018 as they embrace new business concepts and strategies.

While some aspects of the cloud, such as migrations, are rapidly coming to a close, new avenues are beginning to open.

Ebates, the business that provides discounts and incentives to customers of online retailers, needed to move from its SQL server to a system with more processing capacity. The Hadoop cluster it chose fit the bill and provided some unexpected benefits.

If you get the sense that Internet of Things adoption is sluggish, consider that it is going through a normal process.

Alternative and virtual realities provide organizations with new opportunities to reimagine product demos, employee training and more.

Traditional IT has to make way for the intelligence-based business model.

CEOs are investing more in advanced technologies such as AI, but they aren't planning to invest in retraining their workforces for this technology. A new report from Accenture recommends taking a different approach.

Consider all the code written over 50 years and all the places it's running. Add to that all the code we will write in the coming years. That is technology debt.

The FCC's recent net neutrality ruling has the potential to expose enterprises engaged in digital business, as well as cloud companies and their customers, to high premiums for their Internet access.