The Cloud Builds on Hard-Earned Credibility
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.
Avoid These Pitfalls to Get Maximum Value from Data Science
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.
5 Reasons Data Scientists Should Adopt DevOps Practices
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.
5 Tech Trends for the Enterprise in 2018
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.
For IT in 2018, Think Change and Change Again
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.
How AR/VR Analytics May Help Your Business
Alternative and virtual realities provide organizations with new opportunities to reimagine product demos, employee training and more. As the systems collect and generate data, there are opportunities to use the new streams in innovative ways.
Your Analytics Program is Not Ready for Machine Learning
If you are like most organizations, your analytics program is not ready for advanced analytics technologies such as machine learning. Here are a few steps to take to get you closer, or a way you can leapfrog the work to reap the benefits now.
Making AI Safe for Civilized Society
There are plenty of concerns about the safety of artificial intelligence, and it's up to humans to set the standards for safe uses of the technology.
5 Keys to Asking Better Questions of Data Scientists
Some enterprises struggle to drive business value from data science efforts because the business and data scientists are not communicating or collaborating well. Here are five things you can do to improve the cross-functional relationships and ROI.
Disasters: Tech to Map Human Behavior in Crises
With the rise in attacks on stadiums, airports, and concerts, along with the increased severity of natural disasters such as hurricanes and floods, researchers at Embry-Riddle are studying how humans behave on the worst days of their lives.
11 Best-Paying Cloud Skills
In a recent survey, IT managers said that they were willing to pay more for employees with these hard-to-find cloud skills.
How Your SaaS Strategies are Evolving
Demand for SaaS software continues to grow, but procurement is often short-sighted. Think past today because integration and governance are more important than pricing.
Three Key Questions for Federal CIOs
The federal initiative to modernize IT systems raise questions that government CIOS -- in fact, all types of CIOs -- need to consider before launching a major project.
5 Traits of Truly Innovative Companies
When most people think about innovation, they think of companies like Amazon, Facebook, Apple, and Google because those companies appear to have some kind of magic that other organizations lack. If your company wants to make lightning strike repeatedly, consider these points.
7 Fastest-Growing Tech Job Skills
Which terms do IT employers and job seekers search for most often? There are some significant disconnects between what IT pros offer and what employers want.
How IT Can Improve Asset Management
The traditional approach to IT asset management is flawed and needs to be replaced with a strategy that factors in the reliance on cloud computing and SaaS.
Enterprises Cautiously Migrate Toward IaaS
On-premises, infrastructure-as-a-service will coexist for quite a while with large organizations moving more workloads to the public cloud, yet operating their own data centers for years to come.
Metric-Driven Cultures to Drive Product Development
These days, enterprises have to track new metrics such as engagement, revenue per user, and the overall customer journey, which involve blending a complex web of data streams into a comprehensive marketing and sales funnel.