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.
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.
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.
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.
Train Today's Workforce for Tomorrow's Tech
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.
Why Businesses Must Think About Voice Interfaces, Now
Alexa's popularity among consumers serves as a wake-up call for businesses. Eventually, voice interfaces will replace keyboards, taps and swipes, but organizations must be wary of approaching voice interface design the same way they've approached web and mobile design. Before you begin, consider these points.
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.