With productivity demands for software projects running high, developers spend too much time managing dependencies and trying to stay up-to-date with security features, and too little time programming.
The threat of cyber-security vulnerabilities isn't stopping enterprises from embracing artificial intelligence technologies—especially when AI drives product improvements that distinguish them from the competition.
While organizations plan to ramp up analytics spending, IT and business decision-makers admit that they aren’t unleashing the full potential of these solutions due to, among other factors, their technical complexities.
A significant number of abandoned mobility projects is frustrating digital teams, with many concluding that their managers do not "appreciate" or "understand" how tough mobile is.
The new version of popular Linux distribution gets an updated look thanks to the new Yaru theme, among other enhancements.
With boosted budgets and staffing, tech leaders feel that their IT department is rising to the challenge of meeting core tech needs while helping business units achieve their goals.
By committing to DevOps and agile practices while investing in microservices and application programming interfaces, companies are likelier to reap the rewards of higher profits and successfully achieve key performance indicators.
In prioritizing outcomes of a digital transformation, companies indicate that they are determined to improve the customer experience (CX)—but they need more insightful data and less complicated tech tools to succeed.
Enterprise leaders feel that artificial intelligence can help solve their talent-management problems—but relatively few organizations are investing in AI solutions for HR.
No longer a technology curiosity, AI has gone mainstream—and companies are combining it with analytics to emerge as smarter, leaner and more productive businesses.