Manage What You Can't See: No Magic Required
Andi Mann, chief technology officer at Splunk, is a big proponent of 'observability' - knowing what's happening with all systems, services and apps to be able to fix and, eventually, prevent problems.
Digital Transformation Is Advancing
Digital transformation is taking off across industries, although not all sectors are maturing at the same pace. A new Infosys report reveals the details of the key technology investments, goals and outcomes.
How Valuable Is Your Company's Data?
Organizations consider data one of their most valuable assets, but exactly, how much is that data worth? Most business leaders can't answer the question yet. But venture capitalists, financial analysts and board members increasingly want to know.
Create an All-Star Tech Team: Welcome Remote Workers
Want to recruit the best talent to your team, or the best talent that is willing to relocate? Expert John O'Duinn says you can upgrade your team by opening the door to remote workers, and he offers best practices on how to work with distributed teams.
6 Ways to Get Users to Love Self-Service Analytics
If your enterprise wants to spread self-service analytics throughout the organization, buying the platform or tool is just the first step. It's just as important to get people to actually use it. Here's how some successful companies are doing it.
How to Hack Your Biased Brain
You, and everybody you know, is biased, and it impacts the decisions you make. We spoke with an unconscious bias expert about how you can break free and make better decisions, for yourself and for your company.
DevOps Futures: SREs, Re-Skilling, and New-Ops
It's time to ditch the phrase no-ops. DevOps gives IT the opportunity to expand their current skill sets in new roles and become better leaders by managing cross-functional teams. No, all we see are new-ops.
Outbrain Outgrows Initial Big Data Infrastructure, Migrates
Content discovery platform Outbrain launched its first Hadoop pilot about 5 years ago, on the free version of the technology, giving it the flexibility to experiment. But the company recently made some changes to update its big data program.
Top Talent Doesnít Want to Work on Your Old Technology
Employers have to understand that employees -- young and old -- are accustomed to using digital tools as consumers, and they expect their companies to utilize technology concepts such as cloud computing, DevOps and open source software.
Extending Your Reality
Non-traditional technologies shaping the future of business include virtual reality, augmented reality, and mixed reality.
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.
Ebates Migrates the Data Analytics Stack: SQL Server to Hadoop
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.